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Education Lectures Module Handbook

Module Handbook for the Bachelor and Master Programmes

Module Handbook for the Bachelor and Master Programmes at the Computer Science Department of the University of Kaiserslautern

Content

• Introductory remarks
• Overview Major Subject Modules
• Overview Minor Subject Modules
• Module Descriptions

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Introductory remarks

The module handbook documents the current study program of the bachelor and master programmes at the Computer Science Department of the University of Kaiserslautern.

The study program is structured into modules, classified into courses (with or without recitations), seminars, and projects.

• Courses cover the coherent presentation and impartment of foundations, core knowledge, specialized knowledge, and concepts of selected areas of computer science.
• Recitations have the purpose to apply and train the course material by solving related problems.
• In a seminar, the student familiarizes himself with a specialized computer science topic, by reading of original literature, by presenting the topic to an audience, and by producing a final paper.
• In a project, the student acquires the ability to work on a larger computer science problem in a small team, applying and training methods and techniques developed in courses.

Seminars and projects are course achievements and can be graded by the lecturers (analogous to "benoteter Schein"). Nevertheless, they are no examination results and therefore no module grades are assigned and they are not considered at the determination of the final grade.

Modules are distinguished into basic modules, core modules, advanced modules, specialization modules, seminar modules, project modules, and minor subject modules.

• Basic modules impart foundations of computer science.
• Core modules extend these foundations to a specific area of computer science.
• Advanced modules broaden and deepen the knowledge of such a specific area. Often, advanced modules are specialization modules that are explicitly allowed for an advanced block of the bachelor programme. Therefore, these modules are listed as specialization modules in the module handbook.
• Specialization modules impart deepened knowledge of a specific area of computer science.
• Minor subject modules serve the acquisition of foundations and core knowledge of an application area of computer science.

This module handbook is structured according to these module categories. The module assignments and, in particular, the choices are documented in the study plans of the bachelor and master programmes.

Validity

The module handbook will be updated regularly (at least once every semester).
Only the current verion shown at the websites of our department has to be considered valid.
Concerning modules provided by the Computer Science Department the current module handbook always takes precedence over possibly differing statements given in KIS.

The specified "frequency" of our courses is only point of reference. Please concider the concrete scheduling of the Lectures.

Editorial remarks

Below the Module Handbook is presented as a single, self-contained Webpage.

Concerning technical questions please contact Herrn Thees
and concerning content-related aspects please contact Herrn Schürmann.

Version: WS 2009/2010 [FBRS-2009-06-24], final, 02 July 2009

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Overview Major Subject Modules

Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-0001	4C+4R	10		Prof. A. Poetzsch-Heffter	Software Development 1
89-0002	4C+2R	8		Prof. P. Liggesmeyer	Software Development 2
89-0003	2C+1R	4		Prof. R. Gotzhein	Software Development 3
89-0004	4C+2R	9		Prof. K. Madlener	Formal Foundations of Programming
89-0005	2C+2R	5		Prof. K. Madlener	Logic
89-0008	7C+3R	14		Dr. habil. B. Schürmann	Computer Systems
89-0009	4C+2R	8		Dr. habil. B. Schürmann	Computer Systems 1
89-0010	3C+1R	6		Dr. habil. B. Schürmann	Computer Systems 2
89-0012	4C+2R	8		Prof. T. Härder	Information Systems
89-0013	2C+1R	4		Prof. J. Schmitt	Communication Systems
89-0014	3C+2R	7		Prof. S. Heinrich	Mathematical Algorithms
89-0015	2C+1R	4		Prof. T. Breuel	Human Computer Interaction
89-0016	3C+1R	6		Prof. D. Rombach	Project Management
89-0017	2S	4		Dr. habil. B. Schürmann	Working Techniques
89-0020	4P	8		Prof. H. Hagen	SW-Development Project (Project)
89-0021	4P	8		Prof. H. Hagen	Modelling Lab
89-0025	4C+2R	8		Prof. J. Schmitt	Lecture Series Modelling and Simulation
89-0030	2S	4		Prof. R. Gotzhein	Lerntechniken
89-0111	2S	4		Prof. K. Schneider	Bachelor Seminar
89-0112	4P	8		Prof. K. Schneider	Bachelor Project
89-0171	2S	4		Prof. S. Deßloch	Master Seminar
89-0181	4P	8		Prof. S. Deßloch	Master Project
89-1001	2C+1R	4		Prof. H. Hagen	Computer Graphics
89-1002	2C+1R	4		Prof. T. Breuel	Intelligent Human Computer Interaction
89-1101	4C+2R	8		Prof. H. Hagen	Algorithmic Geometry
89-1102	6C+3R	12		Prof. H. Hagen	Schwerpunkt Visualisierung
89-1103	6C+3R	12		Prof. H. Hagen	Schwerpunkt CAGD
89-1111	2S	4		Prof. H. Hagen	Computer Graphics (Ba-Seminar)
89-1145	4P	8		Prof. H. Hagen	Computer Graphics (Project)
89-1151	2C+1R	4		Prof. H. Hagen	Computer Animation
89-1152	2C+1R	4		Prof. H. Hagen	Computational Geometry
89-1171	2S	4		Prof. H. Hagen	Software Visualization (Seminar)
89-1172	2S	4		Prof. H. Hagen	Visual Analytics (Seminar)
89-1173	2S	4		Prof. H. Hagen	Computer Graphics (Seminar)
89-1211	2S	4		Prof. A. Dengel	Artificial Intelligence (Ba-Seminar)
89-1231	2C+1R	4		Prof. A. Dengel	Methods and Models of Artificial Intelligence
89-1245	4P	8		Prof. A. Dengel	Artificial Intelligence (Project)
89-1251	2C+1R	4		Prof. A. Dengel	Knowledge Management
89-1252	2C+1R	4		Prof. A. Dengel	Case-based Reasoning
89-1253	2C+1R	4		Prof. A. Dengel	The Semantic Web: Foundations, Methods, and Applications
89-1254	2C+1R	4		Prof. A. Dengel	Foundations of Machine Learning
89-1255	2C	3		Prof. A. Dengel	Dokumentenmanagement
89-1256	2C+1R	4		Prof. A. Dengel	Applications of Artificial Intelligence
89-1271	2S	4		Prof. A. Dengel	Knowledge Management (Seminar)
89-1273	2S	4		Prof. A. Dengel	Semantic Web (Seminar)
89-1281	4P	8		Prof. A. Dengel	Knowledge Management (Project)
89-1301	6C+3R	12		Prof. T. Breuel	Schwerpunkt Intelligente Systeme
89-1311	2S	4		Prof. T. Breuel	Grundlagen der Mustererkennung (Ba-Seminar)
89-1331	2C+1R	4		Prof. T. Breuel	Introduction to Pattern Recognition
89-1353	2C+1R	4		Prof. T. Breuel	Introduction to Image Processing and Image Understanding
89-1354	2C+1R	4		Prof. T. Breuel	Document and Content Analysis
89-1355	2C+1R	4		Prof. T. Breuel	Privacy, Identity and Computational Forensics
89-1371	2S	4		Prof. T. Breuel	Topics in Pattern Recognition (Seminar)
89-1381	4P	8		Prof. T. Breuel	Intelligent Data Mining and Pattern Recognition Competition (Project)
89-1432	2C+1R	4		Prof. P. Müller	Multimedia Systems
89-1445	4P	8		Prof. P. Müller	Multimedia Systems (Project)
89-1451	2C+1R	4		Prof. P. Müller	Grid Computing
89-1452	2C+1R	4		Prof. P. Müller	Service Oriented Architectures (SOA)
89-1471	2S	4		Prof. P. Müller	Service-oriented Computing (Seminar)
89-1481	4P	8		Prof. P. Müller	Service-oriented Computing (project)
89-1531	4C+2R	8		Juniorprof. G. Umlauf	Computer Aided Geometric Design
89-1551	2C+1R	4		Juniorprof. G. Umlauf	Topics in Geometric Modelling
89-1571	2S	4		Juniorprof. G. Umlauf	Geometric Modelling (Seminar)
89-1581	4P	8		Juniorprof. G. Umlauf	Geometric Modelling (Project)
89-1632	2C+1R	4		Juniorprof. A. Ebert	Scientific Visualization
89-1651	2C+1R	4		Juniorprof. A. Ebert	Information Visualization
89-1671	2S	4		Juniorprof. A. Ebert	Visualisation and HCI (Seminar)
89-1681	4P	8		Juniorprof. A. Ebert	Visualisation (Project)
89-1751	2C+1R	4		Prof. D. Stricker	3D Computer Vision
89-2001	4C+2R	8		Prof. T. Härder	Data Base Application
89-2002	8C+4R	16		Prof. S. Deßloch	Schwerpunkt Datenbanken - Realisierung und Middleware
89-2003	6C+3R	12		Prof. S. Deßloch	Schwerpunkt Datenbanken - Datenmodelle und Middleware
89-2132	2C	3		Prof. T. Härder	Transaction Systems
89-2133	4C+2R	8		Prof. T. Härder	Realisation of Data Base Systems
89-2145	4P	8		Prof. T. Härder	Data Base Aspects of E-Commerce (Project)
89-2146	4P	8		Prof. T. Härder	DB Scheme Design and Programming (Project)
89-2151	2C	3		Prof. T. Härder	Current Trends in DBMSs
89-2152	2C	3		Prof. T. Härder	Distributed and Parallel Data Base Systems
89-2202	4C+2R	8		Prof. S. Deßloch	Middleware for Heterogeneous and Distributed Information Systems
89-2203	2C+1R	4		Prof. S. Deßloch	Middleware for Information Systems
89-2204	2C+1R	4		Prof. S. Deßloch	Enterprise Information Systems
89-2211	2S	4		Prof. S. Deßloch	Data Bases and Information Systems (Ba-Seminar)
89-2231	2C	3		Prof. S. Deßloch	Digital Libraries and Content Management
89-2233	2C+1R	4		Prof. S. Deßloch	Recent Developments for Data Models
89-2271	2S	4		Prof. S. Deßloch	Data Bases and Information Systems (Seminar)
89-2311	2S	4		Prof. A. Reuter	Issues in Software Dependability (Ba-Seminar)
89-3001	4C+2R	8		Prof. D. Rombach	Foundations of Software Engineering
89-3002	2C+1R	4		Prof. D. Rombach	Foundations of Software Engineering 1
89-3003	2C+1R	4		Prof. D. Rombach	Foundations of Software Engineering 2
89-3004	6C+3R	12		Prof. P. Liggesmeyer	Schwerpunkt Software Engineering
89-3131	2C+1R	4		Prof. D. Rombach	Software Project and Process Management
89-3145	4P	8		Prof. D. Rombach	Foundations of Software Engineering (Project)
89-3151	2C+1R	4		Prof. D. Rombach	Process Modeling
89-3152	2C+1R	4		Prof. D. Rombach	Product Line Engineering
89-3153	2C+1R	4		Prof. D. Rombach	Empirical Model Formation and Methods
89-3154	2C+1R	4		Prof. D. Rombach	Testing and Inspection
89-3155	2C+1R	4		Prof. D. Rombach	Requirements Engineering
89-3231	2C+1R	4		Prof. A. Poetzsch-Heffter	Advanced Aspects of Object Oriented Programming
89-3252	3C+3R	8		Prof. A. Poetzsch-Heffter	Specification and Verification with Higher Order Logic
89-3253	2C+1R	4		Prof. A. Poetzsch-Heffter	Specification and Verification of Object Oriented Programs
89-3255	3C+3R	8		Prof. A. Poetzsch-Heffter	Compiler and Language Processing Tools
89-3282	4P	8		Prof. A. Poetzsch-Heffter	Software Engineering (Project)
89-3311	2S	4		Prof. P. Liggesmeyer	Software Engineering (Ba-Seminar)
89-3331	2C+1R	4		Prof. P. Liggesmeyer	Safety and Reliability of Embedded Systems
89-3352	2C+1R	4		Prof. P. Liggesmeyer	Quality Management of Software and Systems
89-3353	2C+1R	4		Prof. P. Liggesmeyer	Secure Software Engineering
89-3354	2C+1R	4		Prof. P. Liggesmeyer	Commercial Vehicle Software Engineering
89-3355	2C+1R	4		Prof. P. Liggesmeyer	Software-Qualitätssicherung
89-3372	2S	4		Prof. A. Poetzsch-Heffter	Software Engineering (Seminar)
89-3431	2C+1R	4		Prof. P. Liggesmeyer	Software Architecture of Distributed Systems
89-3551	2C+1R	4		Prof. A. Pretschner	Advanced Topics of Software Testing
89-3552	2C+1R	4		Prof. A. Pretschner	Security Engineering
89-3581	4P	8		Prof. A. Pretschner	Security Engineering Lab
89-4001	2C+1R	4		Prof. R. Gotzhein	Networked Systems
89-4002	2C+1R	4		Prof. R. Gotzhein	Mobility in Distributed Systems
89-4003	6C+3R	12		Prof. R. Gotzhein	Schwerpunkt Verteilte und Vernetzte Systeme
89-4111	2S	4		Prof. R. Gotzhein	Distributed and Networked Systems (Ba-Seminar)
89-4131	2C+1R	4		Prof. R. Gotzhein	Protocol Engineering
89-4145	4P	8		Prof. R. Gotzhein	Development of Networked Systems (Project)
89-4151	2C+1R	4		Prof. R. Gotzhein	Operating Systems
89-4152	2C+1R	4		Prof. R. Gotzhein	Specification of Networked Systems
89-4171	2S	4		Prof. R. Gotzhein	Communication Systems (Seminar)
89-4245	4P	8		Prof. J. Schmitt	Performance Evaluation of Distributed Systems (Project)
89-4251	2C+1R	4		Prof. J. Schmitt	Performance Modeling of Distributed Systems
89-4252	2C+1R	4		Prof. J. Schmitt	Security in Distributed Systems
89-4253	2C+1R	4		Prof. J. Schmitt	Security in Wireless Networks
89-4271	2S	4		Prof. J. Schmitt	Mobile Computing (Seminar)
89-4331	2C+1R	4		Juniorprof. P. Merz	Algorithms in Distributed Systems
89-4332	2C+1R	4		Juniorprof. P. Merz	Communication Platforms for Distributed Applications
89-4351	2C	3		Juniorprof. P. Merz	Self-organizing Networks
89-4371	2S	4		Juniorprof. P. Merz	Fundamental Distributed Control Algorithms (Seminar)
89-4372	2S	4		Juniorprof. P. Merz	Peer-to-Peer and Grid Computing (Seminar)
89-5001	4C+2R	8		Prof. K. Madlener	Design and Analysis of Algorithms
89-5002	6C+3R	12		Prof. K. Madlener	Schwerpunkt Algorithmik und Deduktion
89-5111	2S	4		Prof. K. Madlener	Computer Algebra (Ba-Seminar)
89-5131	4C+2R	8		Prof. K. Madlener	Computer Algebra
89-5145	4P	8		Prof. K. Madlener	Computer Algebra (Project)
89-5151	4C+2R	8		Prof. K. Madlener	Formal Specification and Verification Techniques
89-5171	2S	4		Prof. K. Madlener	Computer Algebra (Seminar)
89-5172	2S	4		Prof. K. Madlener	Spezifikations- und Verifikationstechniken (Seminar)
89-5181	4P	8		Prof. K. Madlener	Semantics and Verification (Project)
89-5251	4C+2R	8		Prof. R. Wiehagen	Efficient Learning
89-5252	4C+2R	8		Prof. R. Wiehagen	Induktive Inference
89-5272	2S	4		Prof. R. Wiehagen	Algorithmic Learning (Seminar)
89-5282	4P	8		Prof. R. Wiehagen	Algorithmic Learning (Project)
89-5331	4C+2R	8		Prof. S. Heinrich	Analytical Complexity Theory
89-5351	2C+1R	4		Prof. S. Heinrich	Quantum Computing
89-5352	4C+2R	8		Prof. S. Heinrich	Stochastic Algorithms
89-5353	3C	5		Prof. S. Heinrich	Simulation
89-5371	2S	4		Prof. S. Heinrich	Modern Numerical Algorithms (Seminar)
89-5381	4P	8		Prof. S. Heinrich	Stochastic Algorithms (Project)
89-5451	2C+1R	4		Prof. M. Nebel	Computational Biology; Alignments and Sequencing
89-5452	2C+1R	4		Prof. M. Nebel	Computational Biology; Signals, Phylogenies and Structure Prediction
89-5453	4C+2R	8		Prof. M. Nebel	Algorithm Engineering
89-5454	4C+2R	8		Prof. M. Nebel	Advanced Algorithmics
89-5455	2C+1R	4		Prof. M. Nebel	Nature inspired Computing
89-5456	2C+1R	4		Prof. M. Nebel	Bioinformatik
89-5471	2S	4		Prof. M. Nebel	Computational Biology (Seminar)
89-5472	2S	4		Prof. M. Nebel	Specific Algorithms (Seminar)
89-5481	4P	8		Prof. M. Nebel	Models and Algorithms from Computational Biology (Project)
89-5482	4P	8		Prof. M. Nebel	Algorithms and Complexity (Project)
89-6002	2C+1R	4		Prof. K. Berns	Foundations of Robotics
89-6003	4C+2R	8		Prof. K. Berns	Foundations of Embedded Systems
89-6004	6C+3R	12		Dr. habil. B. Schürmann	Schwerpunkt Eingebettete Systeme und Robotik
89-6011	2S	4		Prof. K. Schneider	Embedded Systems and Robotics (Ba-Seminar)
89-6101	6C+3R	12		Prof. K. Berns	Schwerpunkt Robotik
89-6115	4P	8		Prof. K. Berns	Mobile Robots (Project)
89-6131	2C+1R	4		Prof. K. Berns	Autonome Mobile Roboter I (AMR I)
89-6132	2C+1R	4		Prof. K. Berns	Autonome Mobile Roboter II (AMR II)
89-6133	4C+2R	8		Prof. K. Berns	Autonome Mobile Roboter
89-6153	3C+1R	6		Prof. K. Berns	Biologically Motivated Robots
89-6172	2S	4		Prof. K. Berns	Embedded Systems and Robotics (Seminar)
89-6181	4P	8		Prof. K. Berns	Service Robots and Assistance Systems (Project)
89-6201	2C+1R	4		Prof. K. Schneider	Prozessorarchitektur 1
89-6202	6C+3R	12		Prof. K. Schneider	Schwerpunkt Prozessorarchitektur
89-6234	2C+1R	4		Prof. K. Schneider	Hardware-Software Systems: Description Languages
89-6235	2C+1R	4		Prof. K. Schneider	Hardware-Software Systmes: Synthesis
89-6236	4C+2R	8		Prof. K. Schneider	Hardware-Software Systems
89-6245	4P	8		Prof. K. Schneider	Reactive Real-Time Systems (Project)
89-6252	4C+2R	8		Prof. K. Schneider	Verification of Reactive Systems
89-6253	2C+1R	4		Prof. K. Schneider	Modelling, Analysis, and Verification of Hybrid Systems
89-6254	2C+1R	4		Prof. K. Schneider	Processor Architecture 2
89-6401	2C+1R	4		Dr. habil. B. Schürmann	Commercial Processors
89-6402	2C+1R	4		Dr. habil. B. Schürmann	Bus Systems
89-6452	2C+1R	4		Dr. habil. B. Schürmann	Automotive Software Engineering
89-8001	2C+1R	4		Dr. habil. B. Schürmann	Introduction to Computer Science for Students of other Faculties
89-8002	2C+2R	5		Dr. G. Bauer	Program Development I for Students of other Faculties
89-8003	2C+2R	5		Dr. G. Bauer	Program Development II for Students of other Faculties
89-8004	2C+2R	5		Prof. H. Hagen	Computergrafik für den Maschinenbau
89-8006	2C	3		Prof. H. Hagen	Computergrafik für Bauingenieure und Raum- und Umweltplaner
89-8110	6P	12		Prof. K. Schneider	Bachelor's Thesis
89-8111	15P	30		Prof. S. Deßloch	Master's Thesis
89-8201	2C+2R	5		Dr. habil. B. Schürmann	Fachdidaktik der Informatik (LA Gymnasien)
89-8202	4P	8		Dr. habil. B. Schürmann	Fachpraktikum für Studierende des Studiengangs Lehramt an Gymnasien
89-8210	2C+1R	4		Dr. habil. B. Schürmann	Fachdidaktische Grundlagen der Informatik
89-8211	2C+1R	4		Dr. habil. B. Schürmann	Fachdidaktische Grundlagen der technischen Informatik
89-8212	2C	3		Dr. habil. B. Schürmann	Fachdidaktische Grundlagen für berufsbildende Schulen
89-8213	2C+1R	4		Dr. habil. B. Schürmann	Informatikunterricht
89-8215	2C+1R	4		Dr. habil. B. Schürmann	Fachdidaktik Labor
89-8230	8C+4R	16		Dr. habil. B. Schürmann	Mathematische Grundlagen der Informatik
89-8231BBS	2C+2R	5		Dr. habil. B. Schürmann	Logik
89-8231Gym	4C+2R	9		Dr. habil. B. Schürmann	Theoretische Grundlagen der Informatik
89-8232BBS	7C+3R	14		Dr. habil. B. Schürmann	Technische Grundlagen der Informatik
89-8232Gym	4C+2R	8		Dr. habil. B. Schürmann	Technische Grundlagen der Informatik
89-8233	0 SWS	0		Dr. habil. B. Schürmann	Grundlagen der Software-Entwicklung
89-8234	4C+4R	10		Dr. habil. B. Schürmann	Grundlagen der Software-Entwicklung 1
89-8235	4C+2R	8		Dr. habil. B. Schürmann	Grundlagen der Software-Entwicklung 2
89-8235RS	6C+4R	13		Dr. habil. B. Schürmann	Grundlagen der Software-Entwicklung 2
89-8236	4C+2R	8		Dr. habil. B. Schürmann	Grundlagen der Software-Entwicklung 3
89-8236BBS	4C+2R	8		Dr. habil. B. Schürmann	Informationssysteme
89-8237	2C+1R	4		Dr. habil. B. Schürmann	Sichere und vernetzte Systeme
89-8237BBS	4C+2R	8		Dr. habil. B. Schürmann	Sichere und vernetzte Systeme
89-8237RS	2C+1R+2S	8		Dr. habil. B. Schürmann	Sichere und vernetzte Systeme
89-8237Sem	2S	4		Dr. habil. B. Schürmann	Seminar Sichere und vernetzte Systeme
89-8238	4P	7		Dr. habil. B. Schürmann	Programmierpraktikum
89-8238BBS	4P	7		Dr. habil. B. Schürmann	Programmentwicklungsprojekt
89-8239	2C	3		Dr. habil. B. Schürmann	Informatik und Gesellschaft
89-8240BBSa	6C+2R	11		Dr. habil. B. Schürmann	Methodische und didaktische Grundlagen des Informatikunterrichts
89-8240BBSb	2C+1R	4		Dr. habil. B. Schürmann	Methodische und didaktische Grundlagen des Informatikunterrichts
89-8240Gym	4C+2R	8		Dr. habil. B. Schürmann	Methodische und didaktische Grundlagen des Informatikunterrichts
89-8241	0 SWS	0		Dr. habil. B. Schürmann	Vertiefendes Wahlpflichtmodul
89-8242	0 SWS	0		Dr. habil. B. Schürmann	Wahlpflichtmodul
89-8243	4P	8		Dr. habil. B. Schürmann	Projektpraktikum
89-8244	2C+1R+2S	8		Dr. habil. B. Schürmann	Didaktik des Informatikunterrichts
89-8244BBS	4C+2R+2S	12		Dr. habil. B. Schürmann	Didaktik des Informatikunterrichts
89-8244Sem	2S	4		Dr. habil. B. Schürmann	Seminar zur Didaktik des Informatikunterrichts
89-8245	2C+1R	4		Dr. habil. B. Schürmann	Methodische und didaktische Grundlagen von Laborversuchen

227 matching records found

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Overview Minor Subject Modules

Module ID	SWS	CP	Level	Responsible person	Module name [en]
80-01000a	2C	3		Prof. S. Deßloch	Einführung in die BWL
80-01000b	3C+1R	6		Prof. S. Deßloch	Finanzbuchhaltung und Finanzberichterstattung
80-01000c	3C+1R	6		Prof. S. Deßloch	Wirtschaftsinformatik
80-01021	2C	3		Prof. S. Deßloch	Organisation und Personal (Human Resource Management)
80-01031	2C	3		Prof. S. Deßloch	Arbeit und Organisation I (Arbeitswissenschaft A)
80-01031a	2C	3		Prof. S. Deßloch	Human Factors 1
80-01031b	2C	3		Prof. S. Deßloch	Human Factors 2
80-01031c	3C	6		Prof. S. Deßloch	Arbeit, Organisation und Führung - Organizational Behaviour
80-01031d	3C+1R	6		Prof. S. Deßloch	Strategisches Management
80-01031e	2C	3		Prof. S. Deßloch	Strategische Unternehmensführung
80-01034	1C+1R	3		Prof. S. Deßloch	Arbeit und Organisation II (Arbeitswissenschaft B)
80-01061	2C	3		Prof. S. Deßloch	Design for all / Inclusive Design
80-01071	2C	3		Prof. S. Deßloch	Personalführung 3
80-01071a	2C	3		Prof. S. Deßloch	Soft Skills (für Tutoren)
80-01081	2C	3		Prof. S. Deßloch	Personalführung I
80-01091	2C	3		Prof. S. Deßloch	Personalführung II
80-01121	2C	3		Prof. S. Deßloch	Gestaltung rechnerunterstützter Arbeitssysteme (Software Ergonomie)
80-02011	2C+1R	4		Prof. S. Deßloch	Betriebsinformatik/Operations Research — Entwurf von Informationssystemen
80-02011a	3C+1R	6		Prof. S. Deßloch	Operations Research
80-02080	3C+1R	6		Prof. S. Deßloch	Business Process Management
80-02080a	2C	3		Prof. S. Deßloch	Business Process Management
80-02081	1C+1R	3		Prof. S. Deßloch	Betriebliche Standardsoftware im Prozessmanagement
80-02091	2C+2R	5		Prof. S. Deßloch	Multiagent Systems
80-02131	2C+1R	4		Prof. S. Deßloch	Betriebsinformatik / Operations Research: Algorithmen des OR
80-02211	1C	2		Prof. S. Deßloch	Electronic Business IIa
80-02221	2C	3		Prof. S. Deßloch	Informationsstruktur der Unternehmung
80-02231	2C+2R	5		Prof. S. Deßloch	Computational Intelligence
80-02231a	2C+2R	5		Prof. S. Deßloch	Simulation and Optimization of Stochastic Systems
80-02241	2C	3		Prof. S. Deßloch	Management betrieblicher Prozesse
80-03021	2C	3		Prof. S. Deßloch	Internes Rechnungswesen
80-03031	2C	3		Prof. S. Deßloch	Externes Rechnungswesen / Grundzüge der Bilanzierung
80-03041	2C	3		Prof. S. Deßloch	Systeme der internen Unternehmensrechnung
80-03042	2R	2		Prof. S. Deßloch	Anwendung der internen Unternehmensrechnung
80-03051	2C	3		Prof. S. Deßloch	Konzepte und Instrumente des Controllings
80-03051a	2C+2R	5		Prof. S. Deßloch	Controlling
80-03051b	2S	4		Prof. S. Deßloch	Experimentelle Controllingforschung (Seminar)
80-03051c	2C+2R	5		Prof. S. Deßloch	Interne Unternehmensrechnung
80-03051d	2C	3		Prof. S. Deßloch	International Accounting
80-03052	2R	2		Prof. S. Deßloch	Anwendung von Controllinginstrumenten
80-04011	2C+1R	4		Prof. S. Deßloch	Statistik I
80-04011a	3C+1R	6		Prof. S. Deßloch	Spieltheorie
80-04090	4C	6		Prof. S. Deßloch	E-Business
80-04091	1C	2		Prof. S. Deßloch	E-Business I: Ökonomie des Internet
80-05021	2C	3		Prof. S. Deßloch	Marketingmanagement und -strategie
80-05051	2C+2R	5		Prof. S. Deßloch	Industriegütermarketing
80-05061	2C+2R	5		Prof. S. Deßloch	Marktforschung
80-05061a	2C+2R	5		Prof. S. Deßloch	Strategisches Marketing
80-05071	1C	2		Prof. S. Deßloch	Electronic Business IIb: E-Marketing
80-05081	4C	6		Prof. S. Deßloch	International E-Business
80-05101	4C	6		Prof. S. Deßloch	Dienstleistungsmarketing
80-05111	2C	3		Prof. S. Deßloch	Marketing
80-05111a	3C+1R	6		Prof. S. Deßloch	Marketing
80-06021	2C+1R	4		Prof. S. Deßloch	Einführung in das Zivilrecht II
80-06041	2C	3		Prof. S. Deßloch	Patentrecht
80-06051	2C	3		Prof. S. Deßloch	Europäisches Wirtschaftsrecht
80-06061	2C	3		Prof. S. Deßloch	Wettbewerbsrecht
80-06091	2C	3		Prof. S. Deßloch	Recht und Technik
80-06092	1C	2		Prof. S. Deßloch	E-Business Ib: Ausgewählte Einheiten aus 80-06091
80-06111	2C+1R	4		Prof. S. Deßloch	Einführung in das Zivilrecht I
80-07011	3C+1R	6		Prof. S. Deßloch	Produktion (Produktionswirtschaft)
80-07021	2C	3		Prof. S. Deßloch	Operatives Produktionsmanagement
80-07031	2C	3		Prof. S. Deßloch	Produktionsmanagement
80-07151	2C	3		Prof. S. Deßloch	Strategisches Produktionsmanagement
80-07151a	2C	3		Prof. S. Deßloch	Innovationsmanagement I
80-07151b	2C	3		Prof. S. Deßloch	Supply Chain Management
80-07151c	2C	3		Prof. S. Deßloch	Simulation in der Produktion
80-08011	2C	3		Prof. S. Deßloch	Investition und Finanzierung
80-08011a	3C+1R	6		Prof. S. Deßloch	Investition und Finanzierung
80-08021	2C	3		Prof. S. Deßloch	Steuern und Finanzierung
80-08031	2C+1R	4		Prof. S. Deßloch	Finanzielle Unternehmensführung
80-08031a	2C+1R	4		Prof. S. Deßloch	Risikomanagement
80-08031b	2C+1R	4		Prof. S. Deßloch	Investitionsrechnung
80-08071	2C+1R	4		Prof. S. Deßloch	Kapitalmanagement
80-08151	2C	3		Prof. S. Deßloch	Finanzwirtschaft: Investitionscontrolling
80-08171	2C	3		Prof. S. Deßloch	Bank- und Versicherungsmanagement: Rechnungswesen
80-08181	2C	3		Prof. S. Deßloch	Bank- und Versicherungsmanagement: Rentabilitätsmanagement
80-09111	2C	3		Prof. S. Deßloch	Einführung in die Volkswirtschaftslehre
80-09112	2C+1R	4		Prof. S. Deßloch	Microeconomics
80-11011	2C	3		Prof. S. Deßloch	Strukturen und Systeme
80-11021	2C	3		Prof. S. Deßloch	International Strategy
80-11021a	2C	3		Prof. S. Deßloch	Multinationale Strategie
80-11021b	4C+2R	8		Prof. S. Deßloch	Internationale Strategie
80-11031	2C	3		Prof. S. Deßloch	International Business
80-11041	2C	3		Prof. S. Deßloch	Multinational Management
80-11052	2R	2		Prof. S. Deßloch	Übung zum Internationalen Management
80-11061	2C	3		Prof. S. Deßloch	Interkulturelles Management
80-15031	2C	3		Prof. S. Deßloch	Gesellschaftsrecht
80-16010	2C+1R	4		Prof. S. Deßloch	Betriebliche Leistungserstellung
80-16011	2C+1R	4		Prof. S. Deßloch	Unternehmensführung
80-16011a	4C+2R	8		Prof. S. Deßloch	Unternehmensführung
80-16020	2C+1R	4		Prof. S. Deßloch	Rechnungswesen und Finanzwirtschaft
80-20000a	3C+1R	6		Prof. S. Deßloch	Multivariate statistische Methoden
80-20000b	3C+1R	6		Prof. S. Deßloch	Ökonometrie
81-001	4C+2R	8		Prof. K. Madlener	Höhere Mathematik I
81-008	4C+2R	8		Prof. K. Madlener	Höhere Mathematik II
81-015	4C+2R	8		Prof. K. Madlener	Höhere Mathematik III
81-020	4C+2R	8		Prof. K. Madlener	Höhere Mathematik IV
81-041	4C+2R	9		Prof. K. Madlener	Algebraic Structures
81-043	4C+2R	8		Prof. K. Madlener	Combinatorics and Analysis
81-107An	4C+2R	8		Prof. K. Madlener	Grundlagen der Mathematik II (nur Teil Analysis)
81-113	2C+1R	4		Prof. K. Madlener	Einführung in die Vektoranalysis
81-114	2C+1R	4		Prof. K. Madlener	Einführung in die Algebra
81-151	2C+1R	4		Prof. K. Madlener	Einführung in die Funktionentheorie
81-153	2C+1R	4		Prof. K. Madlener	Einführung: Gewöhnliche Differentialgleichungen
81-177	2C+1R	4		Prof. K. Madlener	Einführung in die Funktionalanalysis
81-182	4C+2R	8		Prof. K. Madlener	Praktische Mathematik: Lineare und Netzwerkoptimierung
81-189	4C+2R	8		Prof. K. Madlener	Praktische Mathematik: Stochastische Methoden
81-191	2C+1R	4		Prof. K. Madlener	Elementare Zahlentheorie
81-305	4C+2R	8		Prof. K. Madlener	Kryptographie und Kodierungstheorie
81-320	4C+2R	8		Prof. K. Madlener	Commutative Algebra
81-325	4C+2R	8		Prof. K. Madlener	Algebraic Geometry I
81-329	4C+2R	8		Prof. K. Madlener	Computer Algebra
81-332	2C+1R	4		Prof. K. Madlener	Singularitätentheorie
81-404	4C+2R	8		Prof. K. Madlener	Nonlinear Optimization
81-404a	4C+2R	8		Prof. K. Madlener	Integer Optimization: Polyhedral Theory and Algorithms
81-406	4C+2R	8		Prof. K. Madlener	Multicriteria Optimization
81-407	4C+2R	8		Prof. K. Madlener	Graphs and Algorithms
81-408	4C+2R	8		Prof. K. Madlener	Scheduling-Verfahren
81-451	4C+2R	8		Prof. K. Madlener	Numeric Integration
81-475	2C+1R	4		Prof. K. Madlener	Numerical Methods for Ordinary Differential Equations
81-475a	4C+2R	8		Prof. K. Madlener	Differential Equations: Numerics of ODE & Introduction to PDE
81-481	4C+2R	8		Prof. K. Madlener	Neural Networks
81-490	2C+1R	4		Prof. K. Madlener	Stability Theory
81-490a	4C+2R	8		Prof. K. Madlener	Complex Analysis
81-490b	4C+2R	8		Prof. K. Madlener	Constructive Approximation
81-490c	2C	3		Prof. K. Madlener	Computational Fluid Dynamics
81-490d	2C+1R	4		Prof. K. Madlener	Introduction to PDE
81-490e	4C+2R	8		Prof. K. Madlener	Numerical Methods for Elliptic and Parabolic PDE
81-490f	4C	6		Prof. K. Madlener	Numerical Methods for Hyperbolic PDE
81-490g	4C	6		Prof. K. Madlener	Numerical Methods in Control Theory
81-501	2C+1R	4		Prof. K. Madlener	Partial Differential Equations: An Introduction
81-502	4C+2R	8		Prof. K. Madlener	Numerical Methods for PDE
81-605	4C+2R	8		Prof. K. Madlener	Probability Theory I
81-605a	4C+2R	8		Prof. K. Madlener	Markov Chains & Information Theory
81-606	4C	6		Prof. K. Madlener	Probability Theory II
81-621	4C+2R	8		Prof. K. Madlener	Mathematical Statistics
81-680	4C+2R	8		Prof. K. Madlener	Financial Mathematics I
81-681	2C+1R	4		Prof. K. Madlener	Financial Mathematics II
81-681a	2C	3		Prof. K. Madlener	Financial Statistics
81-681b	4C+2R	8		Prof. K. Madlener	Numerical Methods in Finance
81-867a	4C+2R	8		Prof. K. Madlener	Systems Theory: Systems and Control Theory & Neural Networks
81-900a	4C+2R	8		Prof. K. Madlener	Location Theory
81-900b	4C+2R	8		Prof. K. Madlener	Data Structures and Algorithms for Combinatorial Optimization
81-900c	2C	3		Prof. K. Madlener	Optimization with PDE
81-900d	4C+2R	8		Prof. K. Madlener	Advanced Network Flows and Selfish Routing
81-961a	4C+2R	8		Prof. K. Madlener	Einführung in die Numerik
81-961b	4C+2R	8		Prof. K. Madlener	Stochastische Methoden
82-018	4C+2R	8		Dr. habil. B. Schürmann	Experimentalphysik I für Ingenieure/innen
82-020	4C+3R	9		Dr. habil. B. Schürmann	Experimentalphysik I
82-021	2C	3		Dr. habil. B. Schürmann	Mathematische Ergänzungen zur Experimentalphysik I
82-023	4C	6		Dr. habil. B. Schürmann	Experimentalphysik II
82-024	2C	3		Dr. habil. B. Schürmann	Mathematische Ergänzungen zur Experimentalphysik II
82-025	3R	3		Dr. habil. B. Schürmann	Übung zu Experimentalphysik II
82-026	4C	6		Dr. habil. B. Schürmann	Experimentalphysik III
82-027	2R	2		Dr. habil. B. Schürmann	Übung zu Experimentalphysik III
82-030	4C+2R	8		Dr. habil. B. Schürmann	Mechanik (Theoretische Physik I)
82-034	4C	6		Dr. habil. B. Schürmann	Quantenmechanik I (Theoretische Physik III)
82-035	2R	2		Dr. habil. B. Schürmann	Übung zu Quantenmechanik I
82-036	4C	6		Dr. habil. B. Schürmann	Quantenmechanik II
82-037	2R	2		Dr. habil. B. Schürmann	Übung zu Quantenmechanik II
82-050	4C	6		Dr. habil. B. Schürmann	Angewandte Physik I
82-051	2R	2		Dr. habil. B. Schürmann	Übung zu Angewandte Physik I
82-062	4C	6		Dr. habil. B. Schürmann	Angewandte Physik II
82-063	2R	2		Dr. habil. B. Schürmann	Übung zu Angewandte Physik II
83-10015	2S	4		Prof. A. Dengel	Arbeitssoziologie und Arbeitsmarktpolitik
83-400B	2C+2S	8		Prof. A. Dengel	Philosophie (Bachelor)
83-400M	4S	8		Prof. A. Dengel	Philosophie (Master)
83-402	2S	4		Prof. A. Dengel	Wissen und Nichtwissen
83-403	2C	4		Prof. A. Dengel	Informatik und Gesellschaft
83-403a	2C	4		Prof. A. Dengel	Geschichte des Denkens des Abendlandes
83-407	2S	4		Prof. A. Dengel	Wissenschaftstheorie I
83-409SS	2S	4		Prof. A. Dengel	Kausalität
83-409WS	2S	4		Prof. A. Dengel	Entscheidung und Wissen
83-410	2S	4		Prof. A. Dengel	Technikphilosophie
83-411	2S	4		Prof. A. Dengel	Natur und Wissen
83-412	2S	4		Prof. A. Dengel	Wissenschaftstheorie II
83-419	2S	4		Prof. A. Dengel	Wirtschaftsethik I
83-420	2S	4		Prof. A. Dengel	Wirtschaftsethik II
83-500B	2C+2S	8		Prof. A. Dengel	Psychologie (Bachelor)
83-500M	2S	4		Prof. A. Dengel	Psychologie (Master)
83-501	2C	4		Prof. A. Dengel	Motivation, Handeln, Emotion
83-502	2C	4		Prof. A. Dengel	Gedächtnis, Lernen, Denken und Wahrnehmung
83-503	2C	4		Prof. A. Dengel	Arbeits- und Organisationspsychologie
83-508	2S	4		Prof. A. Dengel	Vertiefende Organisationspsychologie
83-600B	4C+2R	8		Prof. A. Dengel	Politikwissenschaft (Bachelor)
83-600M	2S	4		Prof. A. Dengel	Politikwissenschaft (Master)
83-601	2C+2R	5		Prof. A. Dengel	Einführung in die Politikwissenschaft
83-603	2C	3		Prof. A. Dengel	Einführung in das politische System der BRD
83-700B	2C+2S	8		Prof. A. Dengel	Soziologie (Bachelor)
83-700M	4S	8		Prof. A. Dengel	Soziologie (Master)
83-701	2C	4		Prof. A. Dengel	Einführung in die Soziologie
83-702SS	2S	4		Prof. A. Dengel	Einführung in die Wirtschaftssoziologie
83-702WS	2S	4		Prof. A. Dengel	Digitale Gesellschaft
83-742	2S	4		Prof. A. Dengel	Einführung in die Soziologie der Dienstleistung
83-753	2S	4		Prof. A. Dengel	Organisationsentwicklung und Soziologie der Beratung
83-755	2S	4		Prof. A. Dengel	Theorie der Organisationsentwicklung
83-780	2S	4		Prof. A. Dengel	Führungsverhalten und Personalmanagement
83-781	2S	4		Prof. A. Dengel	Wissensmanagement
83-907	2S	4		Prof. A. Dengel	Vertiefung Psychologie
83-912	2S	4		Prof. A. Dengel	Theoretische Psychologie
83-926	2S	4		Prof. A. Dengel	Psychologie des Gedächtnisses
84-597	1C	2		Juniorprof. G. Umlauf	Theorie und Aufgabenwandel der Raumplanung
84-622	2C	3		Juniorprof. G. Umlauf	Stadtplanung I
84-629	1C	2		Juniorprof. G. Umlauf	Theorie und Aufgabenwandlung der Raumplanung
84-632	2C	3		Juniorprof. G. Umlauf	Schallschutz in der räumlichen Planung
84-633	2S	4		Juniorprof. G. Umlauf	Schallschutz in der räumlichen Planung (Seminar)
84-636	2C	3		Juniorprof. G. Umlauf	Stadtplanung II
84-884	1C	2		Juniorprof. G. Umlauf	Grundlagen der Abfluss- und Schmutzfrachtmodellierung
84-887	2C	3		Juniorprof. G. Umlauf	Planung von Infrastrukturanlagen
84-890	2C	3		Juniorprof. G. Umlauf	Grundlagen der Ver- und Entsorgung
84-942	1C+1R	3		Juniorprof. G. Umlauf	Hydromechanik und Hydraulik
85-101	4C+1R	7		Dr. habil. B. Schürmann	Grundlagen der Elektrotechnik I
85-102	4C+1R	7		Dr. habil. B. Schürmann	Grundlagen der Elektrotechnik II
85-106	2C	3		Dr. habil. B. Schürmann	Elektrische Messtechnik II
85-110	2C+1R	4		Dr. habil. B. Schürmann	Neurocomputing
85-112	2C+2R	5		Dr. habil. B. Schürmann	Sensor Signal Processing
85-302	3C+1R	6		Dr. habil. B. Schürmann	Nachrichtentheorie
85-303	2C+1R	4		Dr. habil. B. Schürmann	Übertragung digitaler Signale
85-304	2C	3		Dr. habil. B. Schürmann	System Theory
85-306	2C	3		Dr. habil. B. Schürmann	Entwurf analoger Filter I
85-307	1C+1R	3		Dr. habil. B. Schürmann	Entwurf analoger Filter II
85-310	2C	3		Dr. habil. B. Schürmann	Empfängerstrukturen für hochratige Datensignale
85-311	2C	3		Dr. habil. B. Schürmann	Sensor Technology
85-313	2C	3		Dr. habil. B. Schürmann	Einführung in das Digitale Fernsehen (DVB)
85-315	2C+1R	4		Dr. habil. B. Schürmann	Grundlagen der Informationsübertragung
85-401	2C+1R	4		Dr. habil. B. Schürmann	Radio Communication I
85-402	3C+1R	6		Dr. habil. B. Schürmann	Radio Communications II
85-404	2C	3		Dr. habil. B. Schürmann	Wireless Systems
85-418	2C+1R	4		Dr. habil. B. Schürmann	Multi-Antennas for Mobile Radio Ccommunications
85-424	2C+1R	4		Dr. habil. B. Schürmann	Fundamentals of Mobile Radio Communications
85-426	3C	5		Dr. habil. B. Schürmann	Robot and Motion Control
85-427	2C	3		Dr. habil. B. Schürmann	Abtastregelungen
85-429	2C	3		Dr. habil. B. Schürmann	Robust Control
85-432	2C+1R	4		Dr. habil. B. Schürmann	CAE in der Regelungstechnik
85-437	2C	3		Dr. habil. B. Schürmann	Optimal Control
85-438	3C+1R	6		Dr. habil. B. Schürmann	Nichtlineare und adaptive Regelungen
85-450	3C+1R	6		Dr. habil. B. Schürmann	Steuerungstechnik
85-451	3C+1R	6		Dr. habil. B. Schürmann	Modellbildung und Identifikation
85-452	2C	3		Dr. habil. B. Schürmann	Process Automatization
85-453	2C	3		Dr. habil. B. Schürmann	Methoden der Soft-Control
85-457	3C+1R	6		Dr. habil. B. Schürmann	Grundlagen der Automatisierung
85-459	2C	3		Dr. habil. B. Schürmann	Bussysteme in der Automatisierungstechnik
85-504	3C+1R	6		Dr. habil. B. Schürmann	Lineare Regelungen (ehem. Regelungstechnik I)
85-528	3C	5		Dr. habil. B. Schürmann	Audio Signal Processing I
85-529	2C	3		Dr. habil. B. Schürmann	Audio Signal Processing II
85-531	3C	5		Dr. habil. B. Schürmann	Digitale Signalverarbeitung
85-532	2C	3		Dr. habil. B. Schürmann	Digitale Filter
85-534	2C	3		Dr. habil. B. Schürmann	Digitale Signalverarbeitung: Algorithmen und ihre Implementierung
85-535	2C	3		Dr. habil. B. Schürmann	Einführung in die Informations- und Codierungstheorie
85-540	2C	3		Dr. habil. B. Schürmann	Realtime Systems I
85-541	2C+1R	4		Dr. habil. B. Schürmann	Real-time Systems II
85-560	2C+2R	5		Dr. habil. B. Schürmann	Verifikation digitaler Systeme
85-604	3C+1R	6		Dr. habil. B. Schürmann	Optische Kommunikationstechnik
85-650	2C+2R	5		Dr. habil. B. Schürmann	Herstellungsverfahren und Entwurf integrierter Sensorsysteme (HEIS)
85-654	2C+1R	4		Dr. habil. B. Schürmann	Entwurf mikroelektronischer Schaltungen und Systeme I
85-655	3C+1R	6		Dr. habil. B. Schürmann	Entwurf mikroelektronischer Schaltungen und Systeme
85-657	2C+1R	4		Dr. habil. B. Schürmann	Synthese und Optimierung mikroelektronischer Systeme I
85-658	2C+1R	4		Dr. habil. B. Schürmann	Einführung in den mikroelektronischen Systementwurf
85-660	2C	3		Dr. habil. B. Schürmann	Synthese und Optimierung mikroelektronischer Systeme II
85-701	4C+1R	7		Dr. habil. B. Schürmann	Elektronik I
85-706	2C+1R	4		Dr. habil. B. Schürmann	Assembler Programming
85-707	2C	3		Dr. habil. B. Schürmann	Aufbau, Anwendung und Programmierung von Mikrocontrollern
85-708	2C+1R	4		Dr. habil. B. Schürmann	Mikroelektronik für Nichtvertiefer
86-001	3C+1R	6		Prof. K. Berns	Technische Mechanik I
86-002	2C+2R	5		Prof. K. Berns	Technische Mechanik II
86-003	2C+2R	5		Prof. K. Berns	Technische Mechanik III
86-012	2C+1R	4		Prof. K. Berns	Finite Elemente Methods
86-019	2C	3		Prof. K. Berns	Multi Body Simulation
86-020	3C+1R	6		Prof. K. Berns	Elemente der Technischen Mechanik I
86-021	3C+1R	6		Prof. K. Berns	Elemente der Technischen Mechanik II
86-102	2C	3		Prof. K. Berns	Ströhmungslehre III
86-205	2C	3		Prof. K. Berns	Roboterkinematik
86-207	2C	3		Prof. K. Berns	Powertrain Engineering of Commercial Vehicles II: Drives and Gears
86-209	2C+2R	5		Prof. K. Berns	Maschinenelemente für Hörer anderer Fachrichtungen
86-250	2C+2R	5		Prof. K. Berns	Integrierte Konstruktionsusbildung I (Darstellende Geometrie, Technisches Zeichnen, CAD)
86-252	2C+1R	4		Prof. K. Berns	Konstruktionslehre I
86-264	2C+1R	4		Prof. K. Berns	Principles of Commercial Vehicle Technology
86-303	2C	3		Prof. K. Berns	Verbrennungskraftmaschinen I
86-304	2C	3		Prof. K. Berns	Verbrennungskraftmaschinen II
86-309	2C	3		Prof. K. Berns	Powertrain Engineering of Commercial Vehicles I: Engines of Commercial Vehicles
86-327	2C	3		Prof. K. Berns	Kraftfahrzeugtechnik I
86-328	2C	3		Prof. K. Berns	Kraftfahrzeugtechnik II
86-356	2C	3		Prof. K. Berns	Strömungsmaschinen I
86-502	2C	3		Prof. K. Berns	Systeme der Produktion
86-503	2C	3		Prof. K. Berns	Systeme der Produktion II
86-504	2C	3		Prof. K. Berns	Qualitätsmangement I
86-505	2C	3		Prof. K. Berns	Qualitätsmamagement II
86-506	2C	3		Prof. K. Berns	Technisch-Wirtschaftliche Betriebsführung I
86-508	2C+2R	5		Prof. K. Berns	Information and Communication Technology in Production
86-511	2C+2R	5		Prof. K. Berns	Fertigungstechnik
86-513	2C+1R	4		Prof. K. Berns	Automobilproduktion
86-522	2C	3		Prof. K. Berns	Produktionsgestaltung I
86-523	2C	3		Prof. K. Berns	Produktionsgestaltung II
86-550	2C	3		Prof. K. Berns	Förder- und Lagertechnik
86-552	2C	3		Prof. K. Berns	Handhabungstechnik und Industrieroboter
86-553	2C+1R	4		Prof. K. Berns	Systementwurf und Modellierung
86-558	2C	3		Prof. K. Berns	Werkzeugmaschinen I
86-559	2C+1R	4		Prof. K. Berns	Werkzeugmaschinen II (Steuerungstechnik)
86-560	2C	3		Prof. K. Berns	Grundlagen der Mensch-Maschine Interaktion
86-561	2C	3		Prof. K. Berns	Gestaltung von Mensch-Maschine-Systemen
86-564	2C+2R	5		Prof. K. Berns	Gestaltung von Mensch-Maschine Systemen
86-570	2C	3		Prof. K. Berns	Industrielle Steuerungstechnik
86-605	4C	6		Prof. K. Berns	Mechatronik
86-650	4C+2R	8		Prof. K. Berns	Mess- und Regelungstechnik
86-660	2C+2R	5		Prof. K. Berns	Maschinenelemente für Hörer anderer Fachbereiche
86-677	3C+1R	6		Prof. K. Berns	Mechatronik in der Fahrzeugtechnik
86-700	2C	3		Prof. K. Berns	Virtuelle Produktentwicklung I
86-701	2C	3		Prof. K. Berns	Virtuelle Produktentwicklung II
86-704	2C+2R	5		Prof. K. Berns	Informationstechnologie für den Maschinenbau
86-706	2C	3		Prof. K. Berns	Virtual Product Engineering
86-715	3C	5		Prof. K. Berns	Rechnerunterstützte Konstruktion in der Fahrzeugtechnik
86-964	3C+1R	6		Prof. K. Berns	Leichtbau I
87-004	4C	7		Prof. M. Nebel	Allgemeine Chemie für Maschinenbauer, Bauingenieure, Biophysiker und Biologen (Lehramt)
87-201	3C	5		Prof. M. Nebel	Organische Chemie I
87-215	1R	1		Prof. M. Nebel	Übungen zur Vorlesung Organische Chemie
87-303	3C	5		Prof. M. Nebel	Physikalische Chemie III
87-305	3C	5		Prof. M. Nebel	Grundlagen der MO Theorie
87-317	1R	1		Prof. M. Nebel	Übungen zur Physikalischen Chemie III
88-031	6C	9		Prof. M. Nebel	GM4: Organisation der Lebewesen/ Botanik
88-031a	2C	3		Prof. M. Nebel	GM4a: Organisation von Zellen
88-031b	2C	3		Prof. M. Nebel	GM4b: Grundlagen der Genetik
88-031c	2C	3		Prof. M. Nebel	GM4c: Funktionelle Organisation der Pflanzen
88-034	2C+1R	4		Prof. M. Nebel	Bioinformatik (AM4)
88-042a	3C	5		Prof. M. Nebel	GM5: Funktionelle Organisation der Tiere
88-044	5C	7		Prof. M. Nebel	GM11: Mikrobiologie/Biotechnologie
88-044a	3C	4		Prof. M. Nebel	GM11a: Mikrobiologie
88-044b	2C	3		Prof. M. Nebel	GM11b: Biotechnologie
88-045	2C	3		Prof. M. Nebel	GM12: Zellbiologie/Genetik
88-046	3C	5		Prof. M. Nebel	GM13: Ökologie/Evolution/Biodiversität
88-046a	1C	2		Prof. M. Nebel	GM13a: Evolution
88-046b	1C	2		Prof. M. Nebel	GM13b: Ökologie
88-046c	1C	2		Prof. M. Nebel	GM13c: Biodiversität
88-231	4C	6		Prof. M. Nebel	GM10: Tierphysiologie
88-331	4C	6		Prof. M. Nebel	GM9: Pflanzenphysiologie/Phytopathologie
88-741	3C	4		Prof. M. Nebel	GM6: Humanbiologie und Anthropologie
88-747	2C	3		Prof. M. Nebel	Einführung in die Genetik II
88-749	2C	3		Prof. M. Nebel	Bioinformatik I

337 matching records found

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Module Descriptions

89-0001: course (4C+4R) "Software Development 1"

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Module name	Software Development 1
Department, Module ID	Computer Sciences (89) – 0001
Responsible person	Prof. Arnd Poetzsch-Heffter
presence hours, CP	course (4C+4R), 10 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	The lecture introduces to the development of software in the small. It communicates the basic principles of programming as well as elementary abstraction mechanisms of software development. The students learn how to design software modules, how to realize and verify them and how to determine their characteristics. Understanding of the fundamental ideas behind modelling and programming Knowledge of basic programming constructs and techniques Knowledge of elementary algorithms and data types Ability to specify and verify simple algorithms
Contents	Overview of software development and its importance Technical and formal foundations of programming, basic linguistic aspects (syntax and semantics of programming languages) Introduction to programming (value, elementary data types, function, identifier binding, visibility of bindings, variable, condition, algorithm, control structures, statement, procedure) Representation of algorithms Further basic elements of programming (type classification, parameterisation, recursion, structured data types, in particular, e.g. fields, lists, trees) Basic elements of object-oriented programming (object, reference, class, inheritance, sub-typing) Abstraction and specialization (in particular function, procedure abstraction, abstraction and specialization of classes) Specification and verification of algorithms, termination Functional abstraction, data abstraction, object orientation
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	G. Goos: Vorlesung über Informatik. Band 1 und 2 M. Broy: Informatik. Eine grundlegende Einführung H. Balzert, Grundlagen der Informatik, Spektrum-Verlag Heidelberg, 1999 A. Poetzsch-Heffter: Konzepte objektorientierter Programmierung G. Krüger: Handbuch der Java-Programmierung B. Liskov: Program Development in Java Kernighan B.W., Ritchie D., C Programming Language, Prentice Hall 1988

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Realschulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an Gymnasien
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Arnd Poetzsch-Heffter	Computer Sciences (89)	AG Softwaretechnik

89-0002: course (4C+2R) "Software Development 2"

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Module name	Software Development 2
Department, Module ID	Computer Sciences (89) – 0002
Responsible person	Prof. Peter Liggesmeyer
presence hours, CP	course (4C+2R), 8 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1
Educational objectives	The lecture focuses on the detailed treatment of techniques and notations of component-spanning software development. The students learn fundamental techniques that form the basis for modern software engineering. Foundations of project planning Knowledge of interaction between software modules and larger, sequential software systems as well as frameworks Knowledge of important and fundamental terms in design patterns and elementary modelling techniques
Contents	Standard process models for software engineering Requirements specification Project planning techniques (MPM networks, Gantt-Diagram, cost calculations) Phases in software development (analysis, design and implementation) Modularisation of programs and software (e.g. functional decomposition, object orientation) Notations for the functionally decomposing software development in the analysis and design phase, e.g. structured analysis, real time analysis, structured design Notations for the object-oriented software development in the analysis and design phase, e.g. UML Program frameworks and their application Important design patterns (composite, observer, façade) Quality assurance and techniques for verification of software
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	T. Ottmann, P. Widmayer: Algorithmen und Datenstrukturen Mehlhorn K., Datenstrukturen und effiziente Algorithmen. Band 1 Sortieren und Suchen. Teubner, 1988 G. Goos: Vorlesung über Informatik. Band 1 und 2 M. Broy: Informatik. Eine grundlegende Einführung Poetzsch-Heffter: Konzepte objektorientierter Programmierung G. Krüger: Handbuch der Java-Programmierung Liskov: Program Development in Java E. Gamma, R. Helm, R. Johnson, J. Vlissides: Design Pattern: Elements of Reusable Object-Oriented Software W. Zuser, S. Biffl, T. Grechenig, M. Köhle: Software Engineering mit UML und dem Unified Process Züllighoven H., Object-Oriented Construction Handbook, dpunkt-Verlag 2005 Booch G., Rumbaugh J., Jacobson I., The Unified Modeling Language User Guide, Addison-Wesley 1998 DeMarco T., Structured Analysis and System Specification, Englewood Cliffs: Prentice Hall, 1985 Liggesmeyer P., Software-Qualität, Spektrum-Verlag Heidelberg, 2002

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Realschulen
  
• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an Gymnasien
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Peter Liggesmeyer	Computer Sciences (89)	AG Software Engineering: Dependability

89-0003: course (2C+1R) "Software Development 3"

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Module name	Software Development 3
Department, Module ID	Computer Sciences (89) – 0003
Responsible person	Prof. Reinhard Gotzhein
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1 Communication Systems
Educational objectives	Detailed understanding of problem statements and solution approaches of the development of distributed, concurrent software systems: phenomena of distributed software systems foundations of modelling development methodology (design, analysis, implementation, traceability) use of design languages (UML, FSP) use of implementation languages (Java) use of development tools elements of operating systems illustrated by the Java Virtual Machine
Contents	phenomena of distributed software systems (causal dependency, concurrency, parallelism, interaction, synchronisation, indeterminism, deadlock, safety, liveness) foundations of modelling (event, action, process model, trace, composition, consistent cut) foundations of distributed software systems (process/thread concept, interaction, synchronisation, communication) design languages (UML, FSP) implementation languages (Java) development tools (LTSA) Java Virtual Machine (threads, thread graph, synchronisation, interaction, communication, sockets, RMI)
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. printed script
Literature	M. Broy: Informatik — Eine grundlegende Einführung, Teil III, Springer, 1994 D. Lea: Concurrent Programming in Java — Design Principles and Patterns, Addison Wesley, 1999 T. Lindholm, F. Yellin: The Java Virtual Machine Specification (2nd Edition), Addison Wesley, 1999 J. Magee, J. Kramer: Concurrency – State Models and Java Programs, Wiley, 2006

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Reinhard Gotzhein	Computer Sciences (89)	AG Vernetzte Systeme

89-0004: course (4C+2R) "Formal Foundations of Programming"

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Module name	Formal Foundations of Programming
Department, Module ID	Computer Sciences (89) – 0004
Responsible person	Prof. Klaus Madlener
presence hours, CP	course (4C+2R), 9 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1 Mathematics
Educational objectives	Understanding of fundamental problems in computer science Formalizations of computability and their consequences: Model definition and techniques for the analysis. Formalization of intuitions, quantitative and qualitative analysis of the models. Application of mathematical methods: sense for precision and knowledge of formalisation techniques Methods for handling complexity: simulation and reduction notions Complexity measures and classification of problems and algorithms Automata as generators and acceptors Formal languages: description and classification
Contents	Principles and methods for the contruction of models in computer science: Calculi as als fundamental tool for the formalization of programming languages, machine models, different logics, production and replacement systems with their syntax and semantics Principles and methods for the contruction of models in computer science: Calculi as als fundamental tool for the formalization of programming languages, machine models, different logics, production and replacement systems with their syntax and semantics Semantics of procedural programming languages (denotational, operational, Hoare-Calculus) Functional programming languages (primitive- and partially recursive functions) Machine models of computability (Register- and Turing-Machines) Complexity measures: Classes and properties. The techniques of diagonalisation and reduction. The theorems of Rice. Formal languages: grammars, automata and Chomsky's classification. Pumping lemmata. Abstraction and design methods for coping with complexity.
Forms of examination (prerequisites for final ex.)	recitations mid-term examinations
Forms of final examination	written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Sperschneider, Hammer: Theoretische Informatik — Eine problemorientierte Einführung, Springer, 1996 Hopcroft, Motwani, Ullman: Einführung in die Automatentheorie, Formale Sprachen und Komplexitätstheorie, Addison Wesley, Pearson Studium, 2002

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Gymnasien
  
• Master´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Klaus Madlener	Computer Sciences (89)	AG Grundlagen der Informatik
Prof. Otto Mayer	Computer Sciences (89)	AG Grundlagen der Programmierung
Prof. Markus Nebel	Computer Sciences (89)	AG Algorithmen und Komplexität
Prof. Rolf Wiehagen	Computer Sciences (89)	AG Algorithmisches Lernen

89-0005: course (2C+2R) "Logic"

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Module name	Logic
Department, Module ID	Computer Sciences (89) – 0005
Responsible person	Prof. Klaus Madlener
presence hours, CP	course (2C+2R), 5 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1 Mathematics
Educational objectives	Syntax and semantics of propositional and first order logics, formalisation of properties in these languages, the use of calculii for deductions and proofs. Mechanisation of formal proofs.
Contents	Propositional logics: Syntax and semantics, calculii for propositional logics, deductive formalisations of propositional logics, natural calculii, algorithmic and equational approach for propositional logics: The method of tableaux, Davis-Putman-algorithms, the resolution method. First order logics : Syntax, relations between properties of elements, Semantic: Interpretations, valuations, satisfiability, transformation of terms and formulas, undecidability results, deductive constructions of first order logics, main theorems of PL1, first order theories, models, enumeration methods for theorems in PL1, Tableaux- and resolution methods, logic programming and Prolog.
Forms of examination (prerequisites for final ex.)	recitations mid-term examinations
Forms of final examination	written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Sperschneider, Antoniou: Logic - A Foundation for Computer Science, Addison Wesley Nissanke: Introductory Logic and Sets for Computer Scientists, Addison Wesley Kreuzer, Kühling: Logik für Informatiker, Pearson Studium

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• "Informatik" im Lehramt an Realschulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Klaus Madlener	Computer Sciences (89)	AG Grundlagen der Informatik
Prof. Otto Mayer	Computer Sciences (89)	AG Grundlagen der Programmierung
Prof. Rolf Wiehagen	Computer Sciences (89)	AG Algorithmisches Lernen

89-0008: Meta-Module (7C+3R) "Computer Systems"

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Module name	Computer Systems
Department, Module ID	Computer Sciences (89) – 0008
Responsible person	Dr. habil. Bernd Schürmann
presence hours, CP	Meta-Module (7C+3R), 14 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	none
Contents	see sub modules
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. printed script special software to be used in computer lab.
Literature	see sub modules

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-0009	4C+2R	8		Dr. habil. B. Schürmann	Computer Systems 1
89-0010	3C+1R	6		Dr. habil. B. Schürmann	Computer Systems 2

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Reinhard Kirchner	Computer Sciences (89)
Prof. Klaus Schneider	Computer Sciences (89)	AG Eingebettete Systeme
Dr. habil. Bernd Schürmann	Computer Sciences (89)	Dekanat Informatik

89-0009: course (4C+2R) "Computer Systems 1"

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Module name	Computer Systems 1
Department, Module ID	Computer Sciences (89) – 0009
Responsible person	Dr. habil. Bernd Schürmann
presence hours, CP	course (4C+2R), 8 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	Skills to analyze and to design combinatorial and sequential circuits. Skills to analyze the performance of computers. Basic knowledge of the functionality of single processor computers.
Contents	Propositional logic (operators, normal forms, Boolean algebra, etc.) Implementation of propositional logic by combinatorial circuits Logic minimization Finite state machines (FSMs) Implementation of FSMs by sequential circuits Coding (numbers, symbols, etc.) Computer arithmetic (fixed point, floating point, logic operations) Data path and controller Instruction set architecture (v. Neumann computer, instruction set, operands/data) MIPS: single cycle processor (instruction set, instruction cycle, implementation of the processor) Performance analysis
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. printed script
Literature	script J. L. Hennessy, D.A. Patterson, Computer Organization and Design - The Hardware/Software Interface, Morgan Kaufmann Publ., 1998 Gary D. Hachtel and Fabio Somenzi, Logic Synthesis and Verification Algorithms, Kluwer, 1996. C. Meinel and T. Theobald, Algorithms and Data Structures in VLSI Design: OBDD - Foundations and Applications, Springer, 1998. Giovanni De Micheli, Synthesis and Optimization of Digital Circuits, McGraw-Hill, 1994. B. Parhami, Computer Arithmetic - Algorithms and Hardware Designs, Oxford University Press, 2000 S. M. Mueller and W.J. Paul, Computer Architecture: Complexity and Correctness, Springer Verlag, 2000 further literature: to be announced in the lecture

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an Gymnasien
  
• "Informatik" im Lehramt an Realschulen
  
• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Reinhard Kirchner	Computer Sciences (89)
Prof. Klaus Schneider	Computer Sciences (89)	AG Eingebettete Systeme
Dr. habil. Bernd Schürmann	Computer Sciences (89)	Dekanat Informatik

89-0010: course (3C+1R) "Computer Systems 2"

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Module name	Computer Systems 2
Department, Module ID	Computer Sciences (89) – 0010
Responsible person	Dr. habil. Bernd Schürmann
presence hours, CP	course (3C+1R), 6 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Computer Systems 1
Educational objectives	Knowledge of the structure of modern, optimized computer systems Knowledge of basic functionality of binders, loaders, and operating systems. Knowledge of managing processes by the operating system. Usage of synchronization primitives.
Contents	Pipelining (principle, conflicts, forwarding and other implementation techniques) Memory hierarchy, organization of caches Bus hierarchy Assembler programming (incl. sub programming) Assembler Program relocation Binder and loader Interrupt processing, context switch Introduction to operating systems Process control I/O control (incl. DMA) Working memory management (virtual memory) File management Protection mechanisms
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	transparencies/beamer/etc. printed script
Literature	script J. L. Hennessy, D.A. Patterson, Computer Organization and Design - The Hardware/Software Interface, Morgan Kaufmann Publ., 1998 A. S. Tanenbaum, Moderne Betriebssysteme, Hanser-Verlag, 2. Aufl., 1995 S. M. Mueller and W.J. Paul, Computer Architecture: Complexity and Correctness, Springer Verlag, 2000 further literature: to be announced in the lecture

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Reinhard Kirchner	Computer Sciences (89)
Prof. Klaus Schneider	Computer Sciences (89)	AG Eingebettete Systeme
Dr. habil. Bernd Schürmann	Computer Sciences (89)	Dekanat Informatik

89-0012: course (4C+2R) "Information Systems"

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Module name	Information Systems
Department, Module ID	Computer Sciences (89) – 0012
Responsible person	Prof. Theo Härder
presence hours, CP	course (4C+2R), 8 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1
Educational objectives	In-depth understanding of tasks and solutions concerning the development of information systems: Information models Use of the standardized database language SQL Transaction concept Business processes and workflows Unstructured and semistructured data management
Contents	Information systems are strongly database-oriented applications, often having very many users (thousands and more). They are transaction-processing systems, i.e., they perform their services in many little steps for the concurrently accessing users. At the same time, they must guarantee data integrity and accomplish high throughput together with short response times. Nowadays, information systems typically run on a powerful server and are client/server systems which provide graphical user interfaces, increasingly also via the Internet. However, they are not only dialog systems, but also need batch processing which efficiently performs mass data applications without user dialog: Introduction and fundamental concepts I/O architecture and access (B-/B*-trees) Information models (Entity/Relationship model) Foundations of the relational model The standard language SQL (SQL2) Transaction concept Modeling of business processes Petri nets and workflows Workflow management Unstructured and semi-structured data
Forms of final examination	written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Baumgarten, B.: Petri-Netze - Grundlagen und Anwendungen, Spektrum, 2. Auflage, 1996 Elmasri, R., Navathe, S.: Grundlagen von Datenbanksystemen, 3. überarbeitete Auflage, Pearson Studium, 2002 Kemper, A., Eickler, A.: Datenbanksysteme - Eine Einführung, 5. Auflage, Oldenbourg, 2004 Korth, H.F., Silberschatz, A.: Database System Concepts, 3rd Edition, McGraw-Hill Book Comp., New York, 1997 Pernul, G., Unland, R.: Datenbanken im Unternehmen: Analyse, Modellbildung und Einsatz, Oldenbourg-Verlag, 2001 Folienkopien des Vorlesungsstoffes; further literature: to be announced in the lecture

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Realschulen
  
• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an Gymnasien
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Stefan Deßloch	Computer Sciences (89)	AG Heterogene Informationssysteme
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-0013: course (2C+1R) "Communication Systems"

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Module name	Communication Systems
Department, Module ID	Computer Sciences (89) – 0013
Responsible person	Prof. Jens Schmitt
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	Detailed understanding of the principles, building blocks and inherent design philosophies of modern communication systems, in particular the Internet: Top-down approach through the layered protocol structure of communication systems Basic mechanisms in communication systems, for example congestion control, routing, etc. Design alternatives, for example connection-oriented vs. connectionsless systems, etc. Quantitative understanding of communication systems
Contents	Overview on communication systems: terminology, structure, architecture, market Application layer principles and mechanisms with examples like http, email, ftp, DNS Transport layer principles and mechanisms with examples like TCP and UDP Network layer principles and mechanisms with examples like IPv4 addressing, OSPF, BGP Link layer principles and mechanisms with examples like Ethernet, MPLS Physical layer principles as for example Nyquist's and Shannon's theorems
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	J. Kurose and K. Ross. Computer Networking - A Top Down Approach Featuring the Internet. Pearson, 2nd Edition, 2003. S. Tanenbaum. Computer Networks. Prentice Hall, 4th edition, 2003. L.L. Peterson and B. Davie. Computer Networks — A Systems Approach. Morgan Kaufmann, 2003.

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Realschulen
  
• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• "Informatik" im Lehramt an Gymnasien
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Peter Merz	Computer Sciences (89)	AG Verteilte Algorithmen
Prof. Jens Schmitt	Computer Sciences (89)	AG Verteilte Systeme

89-0014: course (3C+2R) "Mathematical Algorithms"

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Module name	Mathematical Algorithms
Department, Module ID	Computer Sciences (89) – 0014
Responsible person	Prof. Stefan Heinrich
presence hours, CP	course (3C+2R), 7 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Mathematics Software Development 1
Educational objectives	Acquirement of knowledge on basic mathematical algorithms
Contents	The Gaussian algorithm for the solution of linear systems, for the computation of the determinant and the inverse matrix, pivoting, the LR-decomposition Unitary space, scalar product, orthogonality, positive definite matrices, the Cholesky decomposition, the least squares method Norms on vector spaces, matrix norms, convergence, the Neumann series Iterative methods for linear equations, the Jacobi and the Gauss-Seidel method Solution of nonlinear equations: Fixpoint iteration, Banach's fixpoint theorem, Newton's method, roots of polynomials, systems of nonlinear equations Eigenvalues and eigenvectors of matrices, characteristic polynomial,, the case of symmetric matrices, approximate methods: Jacobi's method, the QR algorithm Interpolation: Lagrangian and Newtonian form of the interpolation polynomial, splines, cubic spline interpolation, B-splines Numerical integration, Newton-Cotes quadrature, numerical differentiation Numerical solution of ordinary differential equations, Euler's method, improved polygonal method, trapezoidal method,, Runge-Kutta method, difference schemes for boundary value problems
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	M. Schwarz, Numerische Mathematik, Teubner, Stuttgart 1993, L inf 698. M. Hanke-Bourgeois: Grundlagen der Numerischen Mathematik und des wissenschaftlichen Rechnens, Teubner 2002

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Stefan Heinrich	Computer Sciences (89)	AG Numerische Algorithmen in der Informatik

89-0015: course (2C+1R) "Human Computer Interaction"

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Module name	Human Computer Interaction
Department, Module ID	Computer Sciences (89) – 0015
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	Students have an overview of the state-of-the-art in human computer interaction (HCI) can design and develop HCI systems can analyse HW/SW systems concerning ergonomic requirements
Contents	The course introduces students to the theory and applications of human computer interaction (HCI) and the design and development of human-computer interfaces. Students should achieve a basic understanding of human perception and psychology related to HCI, as well as concepts and methods for software development taking into account such constraints. Students should acquire an appreciation for the economic importance of well-designed humcan-computer interfaces and the tradeoffs that real-world designs involve. goals of human computer interaction design criteria and goals hardware used for HCI human perception color perception and color in user interfaces HCI-related standards command line interfaces text based interfaces graphical user interfaces and their design tools and platforms for developing user interfaces evaluation of user interfaces on-line help systems
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Dix, Finlay, Abowd, Beale : Human Computer Interaction Preece, Rogers, Sharp, Benyon, Holland, Carey : Human Computer Interaction Norman: The Design of Everyday Things

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-0016: course (3C+1R) "Project Management"

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Module name	Project Management
Department, Module ID	Computer Sciences (89) – 0016
Responsible person	Prof. Dieter Rombach
presence hours, CP	course (3C+1R), 6 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	Students are capable to find their way in a project, are able to collaborate constructively in a project have the theoretical foundations to lead a project
Contents	foundations of project management general introduction, definitions tasks, requirements, and objectives of project management forms of project organisation line organisation, matrix organisation organisation of the project environment phases and contents of software projects tasks and phases during a project requirements, specification, construction, development, integration, test project preparation definition of project goals application, approval estimation: approach, extra costs, Erfahrungswerte, min/max-estimation planning: coarse/fine, milestones, activities, time-limit, resource planning planning as a process team organisation over project phases, team structure, roles in a team handling of supplies relationship between IT-system structuring and team structure project execution management styles controlling, estimation of remaining effort and progress control software management, libraries, repositories information management in a project change management working materials: meetings, protocols, agreements, lists of open topics, project diary, project manual overtime project culture software support for the project management relationship between process models und project management software life cycle process models: water fall, RUP, spiral model, incrementel, prototyping selection of a process model for a project quality assurance quality: notion, quality attributes, constructive/analytical quality assurance planning/constructing quality, organisational measures, roles, reporting risk management special aspects of project management general employers management projects of different size the human factor economical aspects of computer science
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	to be announced in the lecture

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Gerhard Pews	External	SD&M

89-0017: seminar (2S) "Working Techniques"

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Module name	Working Techniques
Department, Module ID	Computer Sciences (89) – 0017
Responsible person	Dr. habil. Bernd Schürmann
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Educational objectives	Skills of the working techniques which are necessary for study and scientific work. These techniques include cooperation in lectures, understanding and writing scientific texts, as well as visualization and presentation of results.
Contents	Central part of the course is methods and tools of knowledge management for text analysis and text creation with the objective of visualizing and presenting results. Main topics are: Text skeleton: categories of the meta structure of texts which is the basis for understanding and processing texts. Steps of preparing information (content creation) while editing texts — including visualization and presentation Optical rhetoric: objectives of layout, layout elements and composition patterns of visualization Quality criteria and rules of visualization Argument patterns for structuring presentations Quality criteria and behavioral rules of presentation: contact and attention, flexible management of unexpected reaction during presentation Layout consisting of text and pictures Retrieval and usage of literature for scientific work Project and time management for scientific work Preparation and performing a comprehensive written project.
Forms of final examination	presentation and assignment
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Fundamentals (in German): Stary, J.: Visualisieren, Berlin 1997 Hartmann, M.; Funk, R.; Nietmann, H.: Präsentieren Weinheim-Basel 2000 Schnelle-Cölln, T.: Optische Rhetorik für Vortrag und Präsentation. Quickborn 1993; Seifert, G.; Pattay, S.: Visualisieren, Präsentieren, Moderieren. Offenbach 1997 Friedrich Rost, Lern- und Arbeitstechniken für das Studium, 4. Aufl., VS-Verlag, 2004 Hartmann, M.; Funk, R.; Nietmann, H.: Präsentieren, Weinheim-Basel 2000 Additional references (in German): Bernstein, D.: Die Kunst der Präsentation. Frankfurt a.M. 1995 Mandel, S.: Präsentationen erfolgreich gestalten. Wien 1991 Meyer, J.-A.: Visualisierung von Informationen. Wiesbaden 1999 Motamedi, S.: Präsentation - Ziele, Konzepte, Durchführung, Heidelberg 1993 Neuland, M. (Hg.): Schüler wollen lernen. Eichenzell 1995 Obermann, C.; Schiel, F. (Hg.): Trainings-Praxis. Köln 1997 Thiele, A.: Mit neuen Techniken wirkungsvoll präsentieren. Landsberg/ Lech 1994; Ders: Die Gute Präsentation. In Pädagogik Heft 3, 2004 Weidenmann, K.: Wahrnehmen, Ideen finden, Gestalt geben. Stuttgart 2004

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans-Joachim Müller	Social Sciences (83)

89-0020: project (4P) "SW-Development Project (Project)"

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Module name	SW-Development Project (Project)
Department, Module ID	Computer Sciences (89) – 0020
Responsible person	Prof. Hans Hagen
presence hours, CP	project (4P), 8 CP
Language	German
Requirement Level	Bachelor (Basic)
Frequency	every year
Required knowledge	Software Development 1, 2, 3 basic knowledge of the application domain (see "Contents")
Educational objectives	Ability to practically apply engineering-like methods and techniques to systematically develop software systems: ability to design and implement an application ability to conduct software tests run through a complete development cycle teamwork (3-6 persons per team)
Contents	The setting of project tasks covers design, implementation, and testing of software systems. The tasks are based on the study modules Software Development 1, 2, and 3, whose contents will be applied in a realistic project context. In the project, a choice of the development of several applications from different domains (e.g., embedded systems, information systems) will be offered.
Examination prerequisites	12 ECTS-CP from the modules Software Development 1, 2, 3
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Software Development 1, 2, 3

sub-modules

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No submodules assigned.

Study programmes

• "Informatik" im Lehramt an Realschulen
  
• "Informatik" im Lehramt an Gymnasien
  
• "Informatik" im Lehramt an berufsbildenden Schulen
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-0021: project (4P) "Modelling Lab"

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Module name	Modelling Lab
Department, Module ID	Computer Sciences (89) – 0021
Responsible person	Prof. Hans Hagen
presence hours, CP	project (4P), 8 CP
Language	German
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge	Basic modules in computer science Basic knowledge in the application area Basics in mathematics
Educational objectives	Students will first earn basic knowledge of using software tools and languages, e.g. Matlab/Simulink and Modellica for simulating hybrid and probabilistic systems. Then, students will learn to model complex activities in the computer and to validate the results. Furthermore, students will earn competences in team work.
Contents	Basics knowledge of Matlab/Simulink Using Matlab/Simulink or Modelica Stochastic models Simulation of software-controlled discrete-analogue systems Validation of the simulation results virtual realities
Examination prerequisites	At least one examination prerequisite in Software Development 1, 2 and Höherer Mathematik 1, 2.
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-0025: course (4C+2R) "Lecture Series Modelling and Simulation"

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Module name	Lecture Series Modelling and Simulation
Department, Module ID	Computer Sciences (89) – 0025
Responsible person	Prof. Jens Schmitt
presence hours, CP	course (4C+2R), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Educational objectives	Students will earn in-dept knowledge of the theoretical fundamentals of modelling within the computer. With this knowledge, students will be enabled to evaluate the expressiveness of various computer models and they will earn the competence to choose adequate computer models with which they will be confronted during, later.
Contents	Theoretical fundamentals of different computer modellations like Data models (ER diagrams etc.) parallel activities (Statecharts, Petri nets, MSCs, etc.) Event discrete systems Hybrid systems (discrete/analogue) Probabilistic systems (e.g. for performance modelling) Game theory Chaos theory, cellular automata self-organizing systems Event-, process-, automata-, and agent-based simulation Mathematical fundamentals for validating the simulation results
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc.
Literature	C.G. Cassandras, S. Lafortune: Introduction to Discrete Event Systems; Kluwer Academic, Boston, 1999. Law A., Kelton D.: Simulation Modeling & Analysis. McGraw-Hill International Editions, 1991. Zeigler B.P., Praehofer H., Kim T.G.: Theory of Modeling and Simulation. Academic Press, 2000.

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Stefan Deßloch	Computer Sciences (89)	AG Heterogene Informationssysteme
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung
Prof. Alexander Pretschner	Computer Sciences (89)	AG Security of Distributed Data and Systems
Prof. Jens Schmitt	Computer Sciences (89)	AG Verteilte Systeme
Dr. Mario Trapp	Computer Sciences (89)	Fraunhofer Institut für Experimentelles Software Engineering (IESE)

89-0030: seminar (2S) "Lerntechniken"

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Module name	Lerntechniken
Department, Module ID	Computer Sciences (89) – 0030
Responsible person	Prof. Reinhard Gotzhein
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Master (Entry Level)
Frequency	irregular
Educational objectives
Contents
Examination prerequisites
Forms of final examination	presentation and assignment
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature
Remarks
Last modification	2009-01-07 09:50:37 (Version 12)

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Prof. Reinhard Gotzhein	Computer Sciences (89)	AG Vernetzte Systeme

89-0111: Meta-Module (2S) "Bachelor Seminar"

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Module name	Bachelor Seminar
Department, Module ID	Computer Sciences (89) – 0111
Responsible person	Prof. Klaus Schneider
presence hours, CP	Meta-Module (2S), 4 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every semester
Required knowledge	Depends on the topic of the seminar.
Educational objectives	Capability to prepare a special topic from computer science based on a given set of literature. Capability to present a special topic from computer science using electonic media Capability for sientific discussion
Contents	Depends on the topic of the seminar.
Forms of final examination	presentation and final paper
Media types	blackboard/flipchart/etc. transparencies/beamer/etc.
Literature	Depends on the topic of the seminar.
Remarks	Choice of one of the related seminars (sub modules).
Last modification	2008-11-27 09:14:46 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1111	2S	4		Prof. H. Hagen	Computer Graphics (Ba-Seminar)
89-1211	2S	4		Prof. A. Dengel	Artificial Intelligence (Ba-Seminar)
89-1311	2S	4		Prof. T. Breuel	Grundlagen der Mustererkennung (Ba-Seminar)
89-2211	2S	4		Prof. S. Deßloch	Data Bases and Information Systems (Ba-Seminar)
89-3311	2S	4		Prof. P. Liggesmeyer	Software Engineering (Ba-Seminar)
89-4111	2S	4		Prof. R. Gotzhein	Distributed and Networked Systems (Ba-Seminar)
89-6011	2S	4		Prof. K. Schneider	Embedded Systems and Robotics (Ba-Seminar)

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-0112: Meta-Module (4P) "Bachelor Project"

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Module name	Bachelor Project
Department, Module ID	Computer Sciences (89) – 0112
Responsible person	Prof. Klaus Schneider
presence hours, CP	Meta-Module (4P), 8 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every semester
Required knowledge	Depends on the topic of the project.
Educational objectives	Ability to apply engineering methods and techniques in practice for systematic development of applications: Ability to apply knowledge and technique learned in teh lectures. Ability to design and implement an application. Ability to specify and execute software tests Team work.
Contents	Depends on the topic of the project.
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	Depends on the topic of the project.
Remarks	Choice of one of the related projects (sub modules).
Last modification	2008-11-27 10:42:05 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1145	4P	8		Prof. H. Hagen	Computer Graphics (Project)
89-1245	4P	8		Prof. A. Dengel	Artificial Intelligence (Project)
89-2145	4P	8		Prof. T. Härder	Data Base Aspects of E-Commerce (Project)
89-2146	4P	8		Prof. T. Härder	DB Scheme Design and Programming (Project)
89-3145	4P	8		Prof. D. Rombach	Foundations of Software Engineering (Project)
89-4145	4P	8		Prof. R. Gotzhein	Development of Networked Systems (Project)
89-4245	4P	8		Prof. J. Schmitt	Performance Evaluation of Distributed Systems (Project)
89-6115	4P	8		Prof. K. Berns	Mobile Robots (Project)
89-6245	4P	8		Prof. K. Schneider	Reactive Real-Time Systems (Project)

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-0171: Meta-Module (2S) "Master Seminar"

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Module name	Master Seminar
Department, Module ID	Computer Sciences (89) – 0171
Responsible person	Prof. Stefan Deßloch
presence hours, CP	Meta-Module (2S), 4 CP
Language	English
Requirement Level	Master (Advanced Level)
Frequency	every semester
Required knowledge	Depends on the topic of the seminar.
Educational objectives	Capability to prepare a special topic from computer science and its relations to other topics based on the literature. Capability to present a special topic from computer science using electonic media Capability for sientific discussion
Contents	Depends on the topic of the seminar.
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	Depends on the topic of the seminar.
Remarks	Choice of one of the related seminars (sub modules).
Last modification	2008-11-27 09:59:30 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1173	2S	4		Prof. H. Hagen	Computer Graphics (Seminar)
89-1271	2S	4		Prof. A. Dengel	Knowledge Management (Seminar)
89-1273	2S	4		Prof. A. Dengel	Semantic Web (Seminar)
89-1371	2S	4		Prof. T. Breuel	Topics in Pattern Recognition (Seminar)
89-1471	2S	4		Prof. P. Müller	Service-oriented Computing (Seminar)
89-1571	2S	4		Juniorprof. G. Umlauf	Geometric Modelling (Seminar)
89-1671	2S	4		Juniorprof. A. Ebert	Visualisation and HCI (Seminar)
89-2271	2S	4		Prof. S. Deßloch	Data Bases and Information Systems (Seminar)
89-3372	2S	4		Prof. A. Poetzsch-Heffter	Software Engineering (Seminar)
89-4171	2S	4		Prof. R. Gotzhein	Communication Systems (Seminar)
89-4271	2S	4		Prof. J. Schmitt	Mobile Computing (Seminar)
89-4371	2S	4		Juniorprof. P. Merz	Fundamental Distributed Control Algorithms (Seminar)
89-5171	2S	4		Prof. K. Madlener	Computer Algebra (Seminar)
89-5172	2S	4		Prof. K. Madlener	Spezifikations- und Verifikationstechniken (Seminar)
89-5272	2S	4		Prof. R. Wiehagen	Algorithmic Learning (Seminar)
89-5371	2S	4		Prof. S. Heinrich	Modern Numerical Algorithms (Seminar)
89-5471	2S	4		Prof. M. Nebel	Computational Biology (Seminar)
89-5472	2S	4		Prof. M. Nebel	Specific Algorithms (Seminar)
89-6172	2S	4		Prof. K. Berns	Embedded Systems and Robotics (Seminar)

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-0181: Meta-Module (4P) "Master Project"

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Module name	Master Project
Department, Module ID	Computer Sciences (89) – 0181
Responsible person	Prof. Stefan Deßloch
presence hours, CP	Meta-Module (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every semester
Required knowledge	Depends on the topic of the project.
Educational objectives	Competence to apply engineering methods and techniques in practice for systematic development of applications: Competence to apply knowledge and technique learned in teh lectures. Competence to design and implement an application. Competence to specify and execute software tests Team work.
Contents	Depends on the topic of the project.
Forms of final examination	-
Media types	transparencies/beamer/etc.
Literature	Depends on the topic of the project.
Remarks	Choice of one of the related projects (sub modules).
Last modification	2008-11-27 10:42:02 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1145	4P	8		Prof. H. Hagen	Computer Graphics (Project)
89-1281	4P	8		Prof. A. Dengel	Knowledge Management (Project)
89-1381	4P	8		Prof. T. Breuel	Intelligent Data Mining and Pattern Recognition Competition (Project)
89-1481	4P	8		Prof. P. Müller	Service-oriented Computing (project)
89-1581	4P	8		Juniorprof. G. Umlauf	Geometric Modelling (Project)
89-1681	4P	8		Juniorprof. A. Ebert	Visualisation (Project)
89-2145	4P	8		Prof. T. Härder	Data Base Aspects of E-Commerce (Project)
89-2146	4P	8		Prof. T. Härder	DB Scheme Design and Programming (Project)
89-3282	4P	8		Prof. A. Poetzsch-Heffter	Software Engineering (Project)
89-4145	4P	8		Prof. R. Gotzhein	Development of Networked Systems (Project)
89-4245	4P	8		Prof. J. Schmitt	Performance Evaluation of Distributed Systems (Project)
89-5145	4P	8		Prof. K. Madlener	Computer Algebra (Project)
89-5282	4P	8		Prof. R. Wiehagen	Algorithmic Learning (Project)
89-5381	4P	8		Prof. S. Heinrich	Stochastic Algorithms (Project)
89-5481	4P	8		Prof. M. Nebel	Models and Algorithms from Computational Biology (Project)
89-5482	4P	8		Prof. M. Nebel	Algorithms and Complexity (Project)
89-6181	4P	8		Prof. K. Berns	Service Robots and Assistance Systems (Project)
89-6245	4P	8		Prof. K. Schneider	Reactive Real-Time Systems (Project)

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-1001: course (2C+1R) "Computer Graphics"

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Module name	Computer Graphics
Department, Module ID	Computer Sciences (89) – 1001
Responsible person	Prof. Hans Hagen
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Bachelor (Core)
Frequency	every semester
Required knowledge	Human Computer Interaction Mathematics Mathematical Algorithms
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology
Contents	Fundamentals and definitions of computer graphics Hardware Basic algorithms (Rasterization, etc.) Object and viewtransformations Representaitons and modeling of objects Rendering and Visibility Mapping-Techniques
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Foley, van Dam, Feiner, Hughes: Computer Graphics, Addison Wesley, 1996. Watt: 3D Computer Graphics, Addison Wesley, 2000. J. Encarnacao, W. Strasser: Computer Graphics, Oldenburg Verlag, 1987. current publications.

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1002: course (2C+1R) "Intelligent Human Computer Interaction"

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Module name	Intelligent Human Computer Interaction
Department, Module ID	Computer Sciences (89) – 1002
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Bachelor (Core)
Frequency	every year
Required knowledge	Human Computer Interaction
Educational objectives	ability to specify, evaluate, implement, and test GUI deisgns ability to understand GUI libraries and architectures an understanding of basic psychological and social principles of user interfaces ability to state hypotheses about user interfaces, test them experimentally, and evaluate the results statistically a basic knowledge of the terminology of human-computer interaction research an understanding of usability testing an understanding of natural human modalities of communication: speech, dialog, reading, writing, images, and gestures an understanding of the user interfaces of intelligent information systems
Contents	human-centered software development visual GUI design and prototyping models and principles of human perception cultural diversity and its consequences for user interfaces social functions of software user interface testing and evaluation speech and handwriting recognition user interface software adaptation human learning web applications information retrieval and knowledge management
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Dix, Finlay, Abowd, Beale : Human Computer Interaction Preece, Rogers, Sharp, Benyon, Holland, Carey : Human Computer Interaction Norman: The Design of Everyday Things

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1101: course (4C+2R) "Algorithmic Geometry"

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Module name	Algorithmic Geometry
Department, Module ID	Computer Sciences (89) – 1101
Responsible person	Prof. Hans Hagen
presence hours, CP	course (4C+2R), 8 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every semester
Educational objectives	Teaching of algorithmic fundamentals of necessary geometric and topologic structures.
Contents	Basic notion and definition from analytic geometry, Algorithmic aspects of affine, projective and convex geometry Triangulations Clifford-Algebra Implicite and parametric representations of manifolds Algorithmic geometry on manifolds
Examination prerequisites
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	M. do Carmo: Differentialgeometrie von Kurven und Flächen, vieweg. K.P. Grotemeyer: Analytische Geometrie, de Gruyter. J. Milnor: Topology from the differentiable viewpoint, Princeton University Press, 1997. current publications.

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1102: Meta-Module (6C+3R) "Schwerpunkt Visualisierung"

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Module name	Schwerpunkt Visualisierung
Department, Module ID	Computer Sciences (89) – 1102
Responsible person	Prof. Hans Hagen
presence hours, CP	Meta-Module (6C+3R), 12 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives	Understanding of basic concepts in computer graphics, and visualzation. The ability to apply computer graphics, and visualization to problems in the natural sciences and technology
Contents
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature
Remarks
Last modification	2009-05-26 13:19:59 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1001	2C+1R	4		Prof. H. Hagen	Computer Graphics
89-1632	2C+1R	4		Juniorprof. A. Ebert	Scientific Visualization
89-1651	2C+1R	4		Juniorprof. A. Ebert	Information Visualization
89-1751	2C+1R	4		Prof. D. Stricker	3D Computer Vision

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-1103: Meta-Module (6C+3R) "Schwerpunkt CAGD"

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Module name	Schwerpunkt CAGD
Department, Module ID	Computer Sciences (89) – 1103
Responsible person	Prof. Hans Hagen
presence hours, CP	Meta-Module (6C+3R), 12 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives	Understanding of basic concepts in computer graphics, and computer aided design. The ability to apply computer graphics, and computer-aided design to problems in the natural sciences and technology
Contents
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1001	2C+1R	4		Prof. H. Hagen	Computer Graphics
89-1152	2C+1R	4		Prof. H. Hagen	Computational Geometry
89-1551	2C+1R	4		Juniorprof. G. Umlauf	Topics in Geometric Modelling

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-1111: seminar (2S) "Computer Graphics (Ba-Seminar)"

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Module name	Computer Graphics (Ba-Seminar)
Department, Module ID	Computer Sciences (89) – 1111
Responsible person	Prof. Hans Hagen
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every semester
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Capability to prepare a special topic from computer graphics. Capability to present a special topic from computer graphics comprehensibly using electonic media Capability for sientific discussion
Contents	Selected topics in computer graphics, e.g.: Rendering Hardware Algorithmic Geometry Applications of special computer graphics techniques
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1145: project (4P) "Computer Graphics (Project)"

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Module name	Computer Graphics (Project)
Department, Module ID	Computer Sciences (89) – 1145
Responsible person	Prof. Hans Hagen
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Capability to apply the methods of computer graphics in practice: Capability to use and apply OpenGL Capability to implement the mathemtical models Team work Run through the complete development cycle of a renderer
Contents	Different tasks from computer graphics, e.g.: Implemention of a surface editor for NURBS surfaces (manipulation of geometry, triangulation) Implemention of a ray-tracer using Phong illumination model Implemention of Texture-Mapping
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Computer Graphics

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  
• "Informatik" im Lehramt an Gymnasien
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1151: course (2C+1R) "Computer Animation"

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Module name	Computer Animation
Department, Module ID	Computer Sciences (89) – 1151
Responsible person	Prof. Hans Hagen
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology.
Contents	Scene modeling Kinematics Key Frames Dynamics Character Animation Animation of natural phenomena
Examination prerequisites	Computer Graphics Algorithmic Geometry
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	R. Parent: Computer Animation - Algorithms and Techniques, Academic Press, 2002. and M. Watt: Advanced Animation and Rendering Techniques, Addison Wesley,1992 S. H. Crandall et al.: Dynamics of Mechanical and Electromechanical Systems, Krieger, 1968. P.K. Kundu: Fluid Mechanics, Academic Press, 1990. current publications

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1152: course (2C+1R) "Computational Geometry"

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Module name	Computational Geometry
Department, Module ID	Computer Sciences (89) – 1152
Responsible person	Prof. Hans Hagen
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology
Contents	Hidden Line Algorithms Convex hull Voronoi-Diagrams Dynamic Triangulations Computational Geometry
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	J. O'Rouke: Computational Geometry in C, Cambridge University Press, 1998. H. Edelsbrunner: Geometry and Topology of Mesh Generation, Cambridge University Press, 2001. M. de Berg, M. van Kreveld: Computational Geometry — Algorithms and Applications, Springer, 2000. current publications

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung
Dr. Andreas Kerren	Computer Sciences (89)	Internationales Graduiertenkolleg (IRTG)
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1171: seminar (2S) "Software Visualization (Seminar)"

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Module name	Software Visualization (Seminar)
Department, Module ID	Computer Sciences (89) – 1171
Responsible person	Prof. Hans Hagen
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Basics in software engineering and/or programming languages Knowledge in information visualization is an advantage
Educational objectives	Capability to prepare a special topic from software visualization Capability to present a special topic from software visualization comprehensibly using electonic media Capability for sientific discussion
Contents	Selected topics from software visualization, e.g.: Algorithm visualization (algorithm animation) Program visualization Visual debugging Graph drawing algorithms for software Visualization Visualization in software engineering, including software evolution Visualization of data base schemes Protocol and log visualization (security, trust) Software visualization on the internet Empirical evaluation of software visualization system effectiveness
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Dr. Andreas Kerren	Computer Sciences (89)	Internationales Graduiertenkolleg (IRTG)

89-1172: seminar (2S) "Visual Analytics (Seminar)"

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Module name	Visual Analytics (Seminar)
Department, Module ID	Computer Sciences (89) – 1172
Responsible person	Prof. Hans Hagen
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Basics in Visualization and Information Visualization Knowledge in Data Mining is an advantage
Educational objectives	Capability to prepare a special topic from visual analytics Capability to present a special topic from visual analytics comprehensibly using electonic media Capability for sientific discussion
Contents	Selected topics from Visual Analytics, e.g.: Background of visual analytics Visual representations and interaction techniques Data management and knowledge representation Analytical reasoning Collaborative visual analytics Presentation, production, and dissimilation methods Evaluation methods Application scenarios
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Dr. Andreas Kerren	Computer Sciences (89)	Internationales Graduiertenkolleg (IRTG)

89-1173: seminar (2S) "Computer Graphics (Seminar)"

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Module name	Computer Graphics (Seminar)
Department, Module ID	Computer Sciences (89) – 1173
Responsible person	Prof. Hans Hagen
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Capability to prepare a special topic from computer graphics. Capability to present a special topic from computer graphics comprehensibly using electonic media Capability for sientific discussion
Contents	Advanced topics in computer graphics, e.g.: Rendering Hardware Algorithmic Geometry Applications of special computer graphics techniques
Examination prerequisites	none
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1211: seminar (2S) "Artificial Intelligence (Ba-Seminar)"

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Module name	Artificial Intelligence (Ba-Seminar)
Department, Module ID	Computer Sciences (89) – 1211
Responsible person	Prof. Andreas Dengel
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Educational objectives	Skills to familiarize oneself with a special topic of the field Artificial Intelligence Skills to present a topic using electronic media Skills to discuss technically
Contents	Selected topics on AI, such as knowledge representation (frames, ontologies, etc.) neural nets (fuzzy) logic case-based reasoning intelligent agents
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1231: course (2C+1R) "Methods and Models of Artificial Intelligence"

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Module name	Methods and Models of Artificial Intelligence
Department, Module ID	Computer Sciences (89) – 1231
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	English
Requirement Level	Master (Entry Level)
Frequency	every year
Educational objectives	Introduction to models and methods to simulate human problem solving behaviour, to symbolic and subsymbolic knowledge representation approaches, and to processing and applying of acquired knowledge
Contents	knowledge representation (heuristic) search vague knowledge artificial neural nets
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Nilsson, N.: Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publ., 1998 Russel, S., Norvig, P.: Artificial Intelligence - A Modern Approach, Prentice Hall, 1995 Heinsohn, J. und Socher-Ambrosius, R.: Wissensverarbeitung, Spektrum Akademischer Verlag, 1999

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme

89-1245: project (4P) "Artificial Intelligence (Project)"

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Module name	Artificial Intelligence (Project)
Department, Module ID	Computer Sciences (89) – 1245
Responsible person	Prof. Andreas Dengel
presence hours, CP	project (4P), 8 CP
Language	German
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence (held in parallel)
Educational objectives	Skills to practically use methods and techniques of symbolic as well as subsymbolic Artificial Intelligence: Skills in using models and methods of AI Skills in using representation and mechanisms for processing distributed knowledge Skills in implementing independently using AI methods Teamwork
Contents	During this project, methods and techniques of AI are exercised and implemented.
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	to be announced during the project

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• "Informatik" im Lehramt an Gymnasien
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

[Back to the index of modules]   [This Module in the Index of Modules]  

Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1251: course (2C+1R) "Knowledge Management"

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Module name	Knowledge Management
Department, Module ID	Computer Sciences (89) – 1251
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence
Educational objectives	Introduction to management of information and knowledge, especially structuring and representation of knowledge knowledge networks accessing of knowledge best practice approaches
Contents	concept knowledge models of knowledge management information retrieval process-oriented knowledge management document analysis and document management agent-based knowledge management success criteria and valuation methods
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Hannig, U.: Knowledge Management und Business Intelligence, Springer, 2000 Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company, New York/Oxford, Oxford University Press, 1995 Russel, S., Norvig, P.: Artificial Intelligence - A Modern Approach, Prentice Hall, 1995 Information Intelligence: Content Classification and the Enterprise Taxonomy Practice, Delphi Group, 2004

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme

89-1252: course (2C+1R) "Case-based Reasoning"

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Module name	Case-based Reasoning
Department, Module ID	Computer Sciences (89) – 1252
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence
Educational objectives	Introduction to methods for developing and maintaining Case-Based Reasoning (CBR) systems
Contents	case representation similarity measures retrieval algorithms adaptation methods learning methods methodology for developing and maintaining CBR systems explanations and explanation capabilities of CBR systems example systems
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Bergmann et al.: Developing Industrial Case-Based Reasoning Applications. LNAI 1612,2nd Edition, Springer, 2003 Bergmann, R.: Experience Management: Foundations, Development Methodology, and Internet-based Applications. LNAI 2432, Springer, 2002

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Dr. Armin Stahl	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1253: course (2C+1R) "The Semantic Web: Foundations, Methods, and Applications"

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Module name	The Semantic Web: Foundations, Methods, and Applications
Department, Module ID	Computer Sciences (89) – 1253
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence
Educational objectives	Overview and foundations of the Semantic Web as an extension of the current WWW; acquisition of knowledge and skills to judge the potential of the Semantic Web
Contents	Semantic Web languages (XML, RDF, RDF Schema, URIs) knowledge engineering / modeling, tools predicate logic, f-logic, OWL (expressiveness, inferences) web services and infrastructure of the Semantic Web (SOAP, WSDL, UDDI, DAML-S) technical and social aspects of trust and trustworthiness explanation and explanation capabilities of knowledge based systems applications and projects
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Berners-Lee, T., Hendler, J., and Lassila, O.: The Semantic Web: A New Form of Web Content that is Meaningful to Computers will Unleash a Revolution of New Possibilities. ScientificAmerican.com, May 2001. Spinning the Semantic Web, Fensel, D., Hendler, J., Lieberman, H., and Wahlster, W. (Eds.), MIT Press, 2003

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1254: course (2C+1R) "Foundations of Machine Learning"

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Module name	Foundations of Machine Learning
Department, Module ID	Computer Sciences (89) – 1254
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence
Educational objectives	Understanding of basic paradigms of machine learning Insights into the capabilities and limitations of machine learning Knowledge of important machine learning methods as well as their strength and weakness Insights into the applicability of such methods, e.g., in protein classification
Contents	Discussion of different paradigms of machine learning PAC learning Online learning Unsupervised learning Study of the productive efficiency of these approaches Discussion of important machine learning methods Induction of decision trees Learning of association rules Bayesian learning Clustering Analysis of these methods in typical application areas
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Mitchell, T., Machine Learning, McGraw-Hill, 1997. Russell, S., Norvig, P., Artificial Intelligence - A Modern Approach (Second Edition), Prentice Hall, 2003.

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Dr. Sandra Zilles	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1255: course (2C) "Dokumentenmanagement"

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Module name	Dokumentenmanagement
Department, Module ID	Computer Sciences (89) – 1255
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C), 3 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence
Educational objectives	Introduction to document management and document management systems
Contents	Document management and document management systems Document lifecycle Technology and interfaces Processing scenarios Security, standards, system operation Legal foundation Business process modelling and workflow Economic efficiency of DMS solutions Introduction of a DMS to a company
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc.
Literature	Oliver Berndt, Lothar Leger: Dokumenten Management Systeme – Nutzen Organisation Technik, 1994. Götzer, Schneiderath, Maier, Boehmelt, Komke: Dokumenten-Management Informationen im Unternehmen effizient nutzen, 2001. Gulbins, Seyfried, Strack-Zimmermann: Dokumenten-Management, Vom Imaging zum Business-Dokument, 1999. Hofmann Stefan: Content-, Dokumenten- und Knowledge-Management- Systeme, [online], 2002 Wikipedia: Dokumentenmanagement, [online], 2006,

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Dr. Reiner Kappus	External	DMS-Consulting

89-1256: course (2C+1R) "Applications of Artificial Intelligence"

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Module name	Applications of Artificial Intelligence
Department, Module ID	Computer Sciences (89) – 1256
Responsible person	Prof. Andreas Dengel
presence hours, CP	course (2C+1R), 4 CP
Language	English
Requirement Level	Master (Entry Level)
Frequency	every semester
Required knowledge	Knowledge in Artificial Intelligence. Lecture "Methods and Models of AI" is recommended.
Educational objectives	Knowledge of successful artificial intelligence (AI) applications existing in the real world. Getting experience in widely used AI environments and toolkits.
Contents	Fundamentals: Roots of AI, first applications in reality, application-oriented development of AI Review of successful real-world applications Deeper investigation of applications in reality, e.g.: Robocup, handwriting recognition, speech recognition, AI in computer games, support of knowledge workers in the office, AI in agriculture Future of AI
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme

89-1271: seminar (2S) "Knowledge Management (Seminar)"

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Module name	Knowledge Management (Seminar)
Department, Module ID	Computer Sciences (89) – 1271
Responsible person	Prof. Andreas Dengel
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence Knowledge Management (held in parallel)
Educational objectives	Skills to familiarize oneself with a special topic of the field Knowledge Management Skills to present a topic using electronic media Skills to discuss technically
Contents	This seminar addresses selected topics of Knowledge Management.
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1273: seminar (2S) "Semantic Web (Seminar)"

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Module name	Semantic Web (Seminar)
Department, Module ID	Computer Sciences (89) – 1273
Responsible person	Prof. Andreas Dengel
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	Methods and Models of Artificial Intelligence The Semantic Web: Foundations, Methods, and Applications (held in parallel)
Educational objectives	Skills to familiarize oneself with a special topic of the field Semantic Web Skills to present a topic using electronic media Skills to discuss technically
Contents	This seminar addresses selected topics of the Semantic Web.
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

[Back to the index of modules]   [This Module in the Index of Modules]  

Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme
Dr. Thomas Roth-Berghofer	Computer Sciences (89)	Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

89-1281: project (4P) "Knowledge Management (Project)"

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Module name	Knowledge Management (Project)
Department, Module ID	Computer Sciences (89) – 1281
Responsible person	Prof. Andreas Dengel
presence hours, CP	project (4P), 8 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Methods and Models of Artificial Intelligence Knowledge Management (held in parallel)
Educational objectives	Methods on how to set up projects, to set objectives, and to valuated collective knowledge Fields of application of computer-based information retrieval methods Skills in design and implementation of process-oriented knowledge management tools Teamwork
Contents	During this project, methods and techniques of Knowledge Management are exercised and implemented.
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	to be announced during the project

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Andreas Dengel	Computer Sciences (89)	AG Wissensbasierte Systeme

89-1301: Meta-Module (6C+3R) "Schwerpunkt Intelligente Systeme"

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Module name	Schwerpunkt Intelligente Systeme
Department, Module ID	Computer Sciences (89) – 1301
Responsible person	Prof. Thomas Breuel
presence hours, CP	Meta-Module (6C+3R), 12 CP
Language	German (English on request)
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives
Contents
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1002	2C+1R	4		Prof. T. Breuel	Intelligent Human Computer Interaction
89-1231	2C+1R	4		Prof. A. Dengel	Methods and Models of Artificial Intelligence
89-1331	2C+1R	4		Prof. T. Breuel	Introduction to Pattern Recognition

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-1311: seminar (2S) "Grundlagen der Mustererkennung (Ba-Seminar)"

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Module name	Grundlagen der Mustererkennung (Ba-Seminar)
Department, Module ID	Computer Sciences (89) – 1311
Responsible person	Prof. Thomas Breuel
presence hours, CP	seminar (2S), 4 CP
Language	German
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives
Contents
Examination prerequisites
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1331: course (2C+1R) "Introduction to Pattern Recognition"

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Module name	Introduction to Pattern Recognition
Department, Module ID	Computer Sciences (89) – 1331
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Educational objectives	Discuss the differences between approaches of inductive learning, machine learning, pattern recognition, Bayesian decision theory Discuss the differences between unsupervised learning, reinforcement learning, and supervised learning Be able to choose the appropriate statistical model and learning method for particular practical problems Be able to implement the different approaches covererd in class. Be able to use standard numerical and statistial software tools like R and/or Matlab. Be able to explain the nearest neighbor algorithm, its performance, and its shortcomings. Explain the problem of overfitting and techniques for detecting and avoiding overfitting.
Contents	Introduction to Pattern Recognition Bayesian Decision Theory Nearest Neighbor Models Linear Discriminants Mixture Densities Non-Parametric Statistical Models Bayesian Networks Decision Trees Neural Networks Overfitting Unsupervised Learning Reinforcement Learning Cross-Validation
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Duda, Hart, and Stork: "Pattern Classification"

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1353: course (2C+1R) "Introduction to Image Processing and Image Understanding"

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Module name	Introduction to Image Processing and Image Understanding
Department, Module ID	Computer Sciences (89) – 1353
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	English
Requirement Level	Master (Advanced Level)
Frequency	irregular
Educational objectives	After the course, students should have an understanding of basic techniques for linear and nonlinear image processing, object detection and localization, and document imaging.
Contents	The course covers imaging devices, color theory, linear filters, non-linear filters, frequency domain methods, mathematical morphology, template matching, Hough transform, RANSAC, and image topology. Applications include digital photography, web imaging, object recognition, handwriting recognition, document imaging, and optical character recognition (OCR).
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	E.g. Gonzales and Woods: "Digital Image Processing"

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1354: course (2C+1R) "Document and Content Analysis"

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Module name	Document and Content Analysis
Department, Module ID	Computer Sciences (89) – 1354
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	English
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	Human Computer Interaction (or equivalent) Pattern Recognition and Statistical Learning (or equivalent)
Educational objectives	An in-depth understanding of document storage, processing, analysis, and retrieval techniques and their applications.
Contents	Most of the data we interact with day-to-day does not come in the form of data structures or databases, but instead in the form of documents and document images. This course introduces students to the formats, techniques, and algorithms used for representing, compressing, analyzing, processing, and displaying documents. Topics covered include: document formats and standards (TIFF, JPEG, PDF, PostScript, SVG) document image compression (G4, MRC, token based compression, JPEG2000) logical markup (HTML, XML, word processing formats, DocBook) writings systems of the world character sets and character encodings (ASCII, Unicode, special coding systems) text rendering, layout, ligatures, and hyphenation (Pango) typesetting and page layout systems (text flow, Word, LaTeX, etc.) OCR (character recognition, page segmentation) spelling and orthographic variation, statistical language modeling document capture, page image dewarping and handheld document capture named entity recognition, information extraction, table recognition document search and retrieval, text mining, document databases reading, psychophysics, and human-document interaction document security and forensics
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Will be announced in the lecture.

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1355: course (2C+1R) "Privacy, Identity and Computational Forensics"

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Module name	Privacy, Identity and Computational Forensics
Department, Module ID	Computer Sciences (89) – 1355
Responsible person	Prof. Thomas Breuel
presence hours, CP	course (2C+1R), 4 CP
Language	English
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	Human Computer Interaction (or equivalent) Pattern Recognition and Statistical Learning (or equivalent)
Educational objectives	An in-depth understanding of on-line privacy and identity, how they can be protected, and how they can be recovered. An understanding of how computation can be used to perform both on-line and physical forensics.
Contents	The course covers methods for computational analysis of digital data and physical evidence. We will be examining how personal information and identity can be leaked and what techniques there are for protecting personal information. Possible topics include: interests groups: businesses, police, intelligence agencies, criminals kinds of privacy and identity data writer identification from text handwriting identification from writing samples printer identification from printouts digital camera identification from images social network analysis pornography identification forensic applications of image data CAPTCHAs and reverse Turing tests keystroke analysis for identity biometric identification cryptography, privacy, and identity psychology and technology of phishing multi-factor authentication hard disk forensics chain of custody and standards of evidence in forensics
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Will be announced in the lecture.

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1371: seminar (2S) "Topics in Pattern Recognition (Seminar)"

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Module name	Topics in Pattern Recognition (Seminar)
Department, Module ID	Computer Sciences (89) – 1371
Responsible person	Prof. Thomas Breuel
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Basic Pattern Recognition and Artificial Intelligence
Educational objectives	ability to work with the original literature understanding of cutting-edge problems in pattern recognition and its applications
Contents	Selected topics from pattern recognition and its applications: speech and handwriting recognition document analysis visual object recognition applications of pattern recognition to industrial problems bioinformatics learning in games adaptive optimization statistical approachs to fault tolerance in software systems Bayesian methods intelligent user interfaces intrusion detection
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	original readings

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1381: project (4P) "Intelligent Data Mining and Pattern Recognition Competition (Project)"

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Module name	Intelligent Data Mining and Pattern Recognition Competition (Project)
Department, Module ID	Computer Sciences (89) – 1381
Responsible person	Prof. Thomas Breuel
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Pattern Recognition and Artificial Intelligence Basic Numerical Methods
Educational objectives	Ability to design, implement, test, and validate pattern recognition and image understanding systems
Contents	Changes annually; generally covers: introduction to libraries and tools for the development of pattern recognition and image understanding systems graphing and visualization tools data collection and devices implementation of learning algorithms testing and validation methods deployment
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	T.B.D.
Remarks	Former Title: Development of Pattern Recognition and Image Understanding Systems (Projekt)
Last modification	2009-03-20 19:02:31 (Version 12)

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Thomas Breuel	Computer Sciences (89)	AG Bildverstehen und Mustererkennung

89-1432: course (2C+1R) "Multimedia Systems"

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Module name	Multimedia Systems
Department, Module ID	Computer Sciences (89) – 1432
Responsible person	Prof. Paul Müller
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Human Computer Interaction Computer Graphics Communication Systems
Educational objectives	In-depth understanding of goals and tasks of multimedia systems, as well as the components and boundary conditions for the development of modern multimedia systems: Human-machine communication in multimedia systems Facets of perception and their technical description End-to-end based requirements of media streams Coding and compression of multimedia data System architectures for multimedia systems and suitable techniques for the management of system resources.
Contents	Introduction to the topic "Multimedia" (from ASCII to graphical user interfaces) Foundations of perception (visual, aural, tactile, ...) Aspects of distribution in multimedia systems (end-to-end QoS, ...) Compression techniques (Introduction to information theory; entropy coding, source coding, and hybrid coding; audio/video coding) System requirements (synchronisation, scheduling, ...) Applications (CSCW, teleconferencing, teleimmersion,...)
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	R. Steinmetz, "Multimedia-Technologie, Grundlagen, Komponenten und Systeme", 3. Auflage, Springer Verlag 2000 Holzinger, "Basiswissen Multimedia, Band 1: Technik", Vogel Verlag 2001 Y. Q. Shi, H. Sun, "Image and Video Compression for Multimedia Engineering. Fundamentals, Algorithms and Standards", Rds Associates Inc, 2003 D. Salomon, "Data Compression, The Complete Reference", Springer Verlag 2000 K. Sayood, "Introduction to Data Compression", Morgan Kaufmann, 2000

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Paul Müller	Computer Sciences (89)	AG Integrierte Kommunikationssysteme

89-1445: project (4P) "Multimedia Systems (Project)"

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Module name	Multimedia Systems (Project)
Department, Module ID	Computer Sciences (89) – 1445
Responsible person	Prof. Paul Müller
presence hours, CP	project (4P), 8 CP
Language	German
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Human Computer Interaction Computer Graphics Communication Systems
Educational objectives	Ability to utilise methods and techniques within the scope of multimedia systems: Facets of perception of multimedia data Network requirements of multimedia data (quality-of-service) Ability to algorithmically implement task definitions of limited scope in the field of compression techniques Critical consideration of multimedia techniques on the basis of sample applications Teamwork
Contents	In this project methods and techniques of multimedia systems are to be prepared, learnt and/or implemented.
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	R. Steinmetz, "Multimedia-Technologie, Grundlagen, Komponenten und Systeme", 3. Auflage, Springer Verlag 2000 Y. Q. Shi, H. Sun, "Image and Video Compression for Multimedia Engineering. Fundamentals, Algorithms and Standards", Rds Associates Inc, 2003 D. Salomon, "Data Compression, The Complete Reference", Springer Verlag, 2000 K. Sayood, "Introduction to Data Compression", Morgan Kaufmann, 2000

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• "Informatik" im Lehramt an Gymnasien
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  

Lecturers

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Name	Department	Work group [de]
Prof. Paul Müller	Computer Sciences (89)	AG Integrierte Kommunikationssysteme

89-1451: course (2C+1R) "Grid Computing"

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Module name	Grid Computing
Department, Module ID	Computer Sciences (89) – 1451
Responsible person	Prof. Paul Müller
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Communication Systems Web Services
Educational objectives	Knowledge of grid computing.
Contents	By the term "Grid Computing" one denotes the distributed access to heterogeneous resources of all kinds over a network on the basis of open standards. Whereas architectures have been in focus of past research in the field of Grid Computing and almost exclusively functional facets were regarded, the development of Grid systems of the next generation will also cover non-functional aspects, e.g. quality of service guarantees. A substantially tight integration of the Grid middleware with local resource management systems is required in order to make Grid functionality transparently available at workstations. Introduction to the topic "Grid" Foundations of service-oriented architectures From Web Services to Grid Services OGSA/OGSI and WSRF (resource description) QoS considerations Virtual organisations, SLAs Monitoring / accounting / billing Access systems (access, AAI (certificates, policies,infrastructure)) Management (technical / economic)
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Foster, C. Kesselman, "The Grid 2", Morgan Kaufmann 2003 J. G. Hey, G. Fox, F. Berman, "Grid Computing", John Wiley & Sons 2003 J. Joseph, C. Fellenstein, "Grid Computing", Prentice Hall 2003 J. Taylor, "From P2P to Web Services and Grids", Springer-Verlag, 2004 A. S. Tanenbaum, "Verteilte Systeme", Pearson Studium, 2003

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Paul Müller	Computer Sciences (89)	AG Integrierte Kommunikationssysteme

89-1452: course (2C+1R) "Service Oriented Architectures (SOA)"

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Module name	Service Oriented Architectures (SOA)
Department, Module ID	Computer Sciences (89) – 1452
Responsible person	Prof. Paul Müller
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Communication Systems Algorithms in Distributed Systems
Educational objectives	Systematical Understanding of service oriented architectures Understanding the theoretical background Overview of current technologies and standards Ability to systematically design SOA based applications Approaches for the evolution of SOA based applications
Contents	Service oriented Architectures (SOA) are architectural concepts that describe dependable and adaptive systems composed of autonomous services. These autonomous services are described using a standardized language, identified by reference and can be accessed at runtime by standard Internet protocols. Introduction Theoretical background Communication Coordination State Security Architecture Common principles Life-cycle of a SOA Service oriented analysis Service oriented design History of service orientation Technologies and standards Web services (WSDL, SOAP, UDDI …) Workflow and orchestration (BPEL ...) Implementation with Java and .NET
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	E. Newcomer, G. Lomow, "Understanding SOA with Web Services", Addison-Wesley 2004 T. Erl, "Service-Oriented Architecture", Prentice Hall PTR 2004 G. Alonso, F. Casati, H. Kuno, " Web Services", Springer, Berlin, 2003 ZapThink, "XML, Web Services and Service Orientation", http://www.zaptihnk.com A. S. Tanenbaum, "Verteilte Systeme", Pearson Studium, 2003 Andreas Eberhart, Stefan Fischer, „Web Services – Grundlagen und praktische Umsetzung mit J2EE und .NET“, Hanser 2003

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Paul Müller	Computer Sciences (89)	AG Integrierte Kommunikationssysteme

89-1471: seminar (2S) "Service-oriented Computing (Seminar)"

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Module name	Service-oriented Computing (Seminar)
Department, Module ID	Computer Sciences (89) – 1471
Responsible person	Prof. Paul Müller
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Basics in Communication Systems
Educational objectives	capability to work into a specialized topic in the area of service-oriented architecture (SOA) or Grid Computing capability to present a restricted scientific topic in an intelligible way, using electronic media capability for technical discussions
Contents	Selected topics from the area SOA or Grid computing supplemental to the lectures “Service-oriented architectures (SOA)” and “Grid computing”, e.g.: SOA reference architectures service-oriented design Workflow basics: orchestration, choreography, coordination SOA – implementation approaches
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	Topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-1481: project (4P) "Service-oriented Computing (project)"

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Module name	Service-oriented Computing (project)
Department, Module ID	Computer Sciences (89) – 1481
Responsible person	Prof. Paul Müller
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every semester
Required knowledge	Grid Computing (89-1451) Service-oriented Architectures (89-1452)
Educational objectives	The projects aims at analysing and designing a service-oriented application or Grid application. A concrete example has to be developed from the idea to the implementation.
Contents	Service-oriented analysis and design Programming with Java and other tools Deployment Tests and evaluation
Examination prerequisites	One of the following lectures Grid Computing (89-1451) Service-oriented Architectures(89-1452)
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see literature of the corresponding lectures

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Paul Müller	Computer Sciences (89)	AG Integrierte Kommunikationssysteme

89-1531: Meta-Module (4C+2R) "Computer Aided Geometric Design"

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Module name	Computer Aided Geometric Design
Department, Module ID	Computer Sciences (89) – 1531
Responsible person	Juniorprof. Georg Umlauf
presence hours, CP	Meta-Module (4C+2R), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology
Contents	Bezier- and B-Spline-curves G-Splines Subdivision curves Triangular Bezier surfaces Tensor product surfaces G-Spline surfaces Subdivision surfaces Box-Splines
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc.
Literature	J. Hoschek, G. Lasser: Grundlagen der Geometrischen Datenverarbeitung, Teubner. G. Farin: Curves and Surfaces for CAGD, Academic Press, 2002. H. Prautzsch, W. Boehm, M. Paluszny: Bézier and B-Spline Techniques, Springer, 2003. current publications

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-1152	2C+1R	4		Prof. H. Hagen	Computational Geometry
89-1551	2C+1R	4		Juniorprof. G. Umlauf	Topics in Geometric Modelling

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1551: course (2C+1R) "Topics in Geometric Modelling"

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Module name	Topics in Geometric Modelling
Department, Module ID	Computer Sciences (89) – 1551
Responsible person	Juniorprof. Georg Umlauf
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	CAGD
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology
Contents	Discrete differential geometry Surface reconstruction Net simplification, net optimization Multivariate Splines Wavelets in CAGD
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc.
Literature	Will be announced in the lecture.

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1571: seminar (2S) "Geometric Modelling (Seminar)"

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Module name	Geometric Modelling (Seminar)
Department, Module ID	Computer Sciences (89) – 1571
Responsible person	Juniorprof. Georg Umlauf
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Computer Aided Geometric Design
Educational objectives	Capability to prepare a special topic from computer graphics. Capability to present a special topic from computer graphics comprehensibly using electonic media Capability for sientific discussion
Contents	Selected topics from geometric modeling, e.g.: Spline curves and surfaces (B-Splines, G-Splines, Bézier, etc.) Subdivision net-based modeling Solid Modeling Variational Modeling
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1581: project (4P) "Geometric Modelling (Project)"

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Module name	Geometric Modelling (Project)
Department, Module ID	Computer Sciences (89) – 1581
Responsible person	Juniorprof. Georg Umlauf
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Computer Aided Geometric Design
Educational objectives	Capability to apply the methods of geometric modeling in practice: Capability to use and apply advanced techniques of OpenGL. Capability to implement the mathematical models Team work Run through the complete development cycle of complex application in surface modelling Critical discussion of modeling results for application data
Contents	Different tasks from geometric modeling, e.g.: Implemention of an editor for G-spline curves and surfaces Implemention of an editor for subdivision surfaces Implemention of the visualization tools for the differential geometrical properties of subdivision surfaces
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Computer Aided Geometric Design

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Georg Umlauf	Computer Sciences (89)	AG Geometrische Algorithmen

89-1632: course (2C+1R) "Scientific Visualization"

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Module name	Scientific Visualization
Department, Module ID	Computer Sciences (89) – 1632
Responsible person	Juniorprof. Achim Ebert
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Computer Graphics Algorithmic Geometry
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology.
Contents	fundamentals and definitions of visualization and virtual reality Data representations Basic techniques (nets, etc.) Feature Based Visualization Volume Visualization Vector- and tensor fields Photorealistic Rendering Visualization systems
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral or written examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	C. Hanson, C. Johnson: The Visualization Handbook, Elsevier, 2005. R. Fernando: GPU Gems, NVidia Corp., 2004. LaMothe: Tricks of the 3D Game Programming Gurus — Advanced 3D Graphics and Rasterization, Sams Publications, 2003. current publications.

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-1651: course (2C+1R) "Information Visualization"

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Module name	Information Visualization
Department, Module ID	Computer Sciences (89) – 1651
Responsible person	Juniorprof. Achim Ebert
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Basics in Computer Graphics
Educational objectives	Understanding of contents and capability to apply the methods in natural sciences and technology
Contents	Perception and Gestalt laws Interaktion Techniques Multivariate Data and visual representations Visualization techniques (e.g. level of detail, navigation, focus and context, 2D/2.5D/3D, ...) Visualization of hierarchical data Visualization of graphs and networks Visualization of time-dependent data Software Visualization Evaluation Visualizations in application areas (e.g. biochemical or geographical information)
Examination prerequisites	Programming exercise presentation
Forms of final examination	oral examination
Media types	blackboard/flipchart/etc. transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	C. Ware. Information Visualization: Perception for Design. 2nd Edition, Morgan Kaufman, San Francisco, ISBN 1-55860-819-2, 2004. R. Spence. Information Visualization. ACM Press/Addison Wesley, New York, ISBN 0-201-59626-1, 2001. S. K. Card, J. Mackinlay, and B. Shneiderman. Readings in Information Visualization: Using Vision to Think. Academic Press, ISBN 1-55860-533-9, 1999. C. Chen. Information Visualization. Springer, London, Berlin, Heidelberg, 2nd Edition, ISBN 1-85233-789-3, 2004. Current publications.

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung
Prof. Hans Hagen	Computer Sciences (89)	AG Graphische Datenverarbeitung

89-1671: seminar (2S) "Visualisation and HCI (Seminar)"

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Module name	Visualisation and HCI (Seminar)
Department, Module ID	Computer Sciences (89) – 1671
Responsible person	Juniorprof. Achim Ebert
presence hours, CP	seminar (2S), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Visualization and Virtual Reality
Educational objectives	Capability to prepare a special topic from computer graphics. Capability to present a special topic from computer graphics comprehensibly using electonic media Capability for sientific discussion
Contents	Selected topics from visualization, e.g.: VR/AR Information Visualization Scientific Visualization Adaptive/mobile Visualization Visualization of medical and biological data
Forms of final examination	presentation and final paper
Media types	transparencies/beamer/etc.
Literature	topic specific literature

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung

89-1681: project (4P) "Visualisation (Project)"

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Module name	Visualisation (Project)
Department, Module ID	Computer Sciences (89) – 1681
Responsible person	Juniorprof. Achim Ebert
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	every year
Required knowledge	Visualisation and Virtual Reality
Educational objectives	Capability to apply the methods of visualization in practice: Detailed knowledge in current visualization techniques in theory and practice Team work Run through the complete development cycle of complex visualization tasks Critical discussion of visualization results for application data
Contents	Different tasks from visualiuzation, e.g.: Visualization of scalar fields: Implemention of algortithms like marching cubes, volume rendering, etc. Visualization of vector fields: Implemention of algortithms like stream lines and surfaces, turbulence detection, detection of topology, etc. Construction of visualization framework for the implemented algorithms with interactive graphical output based on
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Visualisation and Virtual Reality

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Juniorprof. Achim Ebert	Computer Sciences (89)	AG Visualisierung

89-1751: course (2C+1R) "3D Computer Vision"

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Module name	3D Computer Vision
Department, Module ID	Computer Sciences (89) – 1751
Responsible person	Prof. Didier Stricker
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Advanced Level)
Frequency	irregular
Educational objectives	Goal of the lecture is to build an active knowledge in the area of Computer Vision, in particular in the topic of reconstruction of 3D scenes out of 2D images. The students will learn about essential technologies and fundamental mathematic rules of 3D Vision. More over, they will collect practical experience through programming of computer vision tasks in the context of the exercices.
Contents	Background in projective geometry Camera models Camera calibration Epipolar geometry Structure and motion from two views Structure and motion from multiple views 3D reconstruction Shape from Shading Robust statistics for parameter estimation
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc.
Literature

sub-modules

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No submodules assigned.

Study programmes

No study promgrammes assigned (yet).

Lecturers

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Name	Department	Work group [de]
Prof. Didier Stricker	Computer Sciences (89)	AG Augmented Vision

89-2001: course (4C+2R) "Data Base Application"

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Module name	Data Base Application
Department, Module ID	Computer Sciences (89) – 2001
Responsible person	Prof. Theo Härder
presence hours, CP	course (4C+2R), 8 CP
Language	German
Requirement Level	Bachelor (Core)
Frequency	every year
Required knowledge	Information Systems
Educational objectives	Knowlwdge of basic principles and methods for the application of DB systems . Acquisition of abilities and skills for database administrator and DB-application developer for the design, installation, and maintenance of databases as well as programming and compilation of DB programs, in particular based on the relational model and SQL, object-oriented and object-relational data models related to the standards ODMG and SQL:1999/2003
Contents	Requirements for and description models of DBMS Logical DB design Tables and views Application programming interfaces Tasks of transaction management Theory of serializability Synchronization methods Logging and recovery Integrity control and active behavior Data security and access control Object orientation and databases Storing and processing of large objects
Forms of final examination	oral or written examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	R. Elmasri, S. B. Navathe: Grundlagen von Datenbanksystemen, 3. Auflage, Pearson Studium, 2002 T. Härder, E. Rahm: Datenbanksysteme - Konzepte und Techniken der Implementierung (2. Auflage), Springer, Berlin, 2001 Kemper, A. Eickler: Datenbanksysteme - Eine Einführung (5. Auflage), Oldenbourg, München, 2004 Folienkopien des Vorlesungsstoffes further literature: to be announced in the lecture

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  
• Bachelor´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme
Prof. Andreas Reuter	Computer Sciences (89)	AG Verlssliche Systeme

89-2002: Meta-Module (8C+4R) "Schwerpunkt Datenbanken - Realisierung und Middleware"

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Module name	Schwerpunkt Datenbanken - Realisierung und Middleware
Department, Module ID	Computer Sciences (89) – 2002
Responsible person	Prof. Stefan Deßloch
presence hours, CP	Meta-Module (8C+4R), 16 CP
Language	German
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives
Contents
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral examination
Media types	transparencies/beamer/etc.
Literature
Remarks
Last modification	2009-05-20 15:00:16 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-2001	4C+2R	8		Prof. T. Härder	Data Base Application
89-2133	4C+2R	8		Prof. T. Härder	Realisation of Data Base Systems
89-2202	4C+2R	8		Prof. S. Deßloch	Middleware for Heterogeneous and Distributed Information Systems

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-2003: Meta-Module (6C+3R) "Schwerpunkt Datenbanken - Datenmodelle und Middleware"

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Module name	Schwerpunkt Datenbanken - Datenmodelle und Middleware
Department, Module ID	Computer Sciences (89) – 2003
Responsible person	Prof. Stefan Deßloch
presence hours, CP	Meta-Module (6C+3R), 12 CP
Language	German
Requirement Level	Bachelor (Advanced Level)
Frequency	every year
Required knowledge
Educational objectives
Contents
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	oral examination
Media types	transparencies/beamer/etc.
Literature
Remarks
Last modification	2009-05-20 15:04:03 (Version 12)

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-2001	4C+2R	8		Prof. T. Härder	Data Base Application
89-2203	2C+1R	4		Prof. S. Deßloch	Middleware for Information Systems
89-2233	2C+1R	4		Prof. S. Deßloch	Recent Developments for Data Models

Study programmes

No study promgrammes assigned (yet).

Lecturers

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No lucturers assigned (yet).

89-2132: course (2C) "Transaction Systems"

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Module name	Transaction Systems
Department, Module ID	Computer Sciences (89) – 2132
Responsible person	Prof. Theo Härder
presence hours, CP	course (2C), 3 CP
Language	German
Requirement Level	Master (Entry Level)
Frequency	every two years
Required knowledge	Data Base Application
Educational objectives	Intermediation of basics and methods in the area of transaction systems: Architecture of transaction and client/server systems Understanding of transaction models and their variants Survey of cooperation and workflow models Heterogeneous transaction systems and their problems related to federated DBS, Multi-DBS, and transactional processes in the Web Evaluation of the corresponding realization concepts
Contents	Archtecture of TA systems Client/server systems Transaction models Transaction models for heterogeneous systems, workflows, and Web TP monitors System examples
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Gray, J., Reuter, A.: Transaction Processing: Concepts und Techniques , Morgan Kaufmann, San Mateo, Kalifornien, 1993 Bernstein, P.A., Newcomer, E.: Principles of Transaction Processing , Morgan Kaufmann, San Mateo, 1997 Meyer-Wegener, K.: Transaktionssysteme, B. G. Teubner, Stuttgart, 1988 Rahm, E.: Hochleistungs-Transaktionssysteme, Vieweg-Verlag, 1993 Weikum, G, Vossen, G.: Transactional Information Systems, Morgan Kaufmann, 2001 Orfali, R., Harkey, D., Edwards, J.: Client/Server Survival Guide, Third Edition, Wiley Computer Publishing Group (John Wiley & Sons, Inc.), New York, 1999

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2133: course (4C+2R) "Realisation of Data Base Systems"

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Module name	Realisation of Data Base Systems
Department, Module ID	Computer Sciences (89) – 2133
Responsible person	Prof. Theo Härder
presence hours, CP	course (4C+2R), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every two years
Required knowledge	Data Base Application
Educational objectives	Intermediation of in-depth knowledge related to design, architecture, implementation, and maintenance of DBMS, in particular architectures of centralized and distributed DBMS (layer models), storage system, access system and data system; implementation techniques for concepts and methods which are used to realize the individual layers of a DBMS. Acquisition of a deeper understanding concerning the interplay of the DBMS layers and components to enable the explanation of the DBMS performance behavior, the design, architecture, and maintenance of databases as well as the programming of DB-based applications.
Contents	Architectures of DB systems Management of external storage DB-buffer management and DB caching Storage structures One-dimensional access paths Multi-dimensional access paths Record-oriented interface Implementation of table operations Set-oriented interface
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. script for downloading (as PDF)
Literature

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2145: project (4P) "Data Base Aspects of E-Commerce (Project)"

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Module name	Data Base Aspects of E-Commerce (Project)
Department, Module ID	Computer Sciences (89) – 2145
Responsible person	Prof. Theo Härder
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Data Base Application Middleware for Heterogeneous and Distributed Information Systems (desirable)
Educational objectives	Participants gain knowledge of and practical experience with important techniques for building DB-based web sites and utilizing data bases in the application area of e-commerce. The students work in teams to conduct all phases of the development cycle of a fully-functional on-line auctioning system. The project involves the use of IBM's DB2 Universal Database with the query language SQL, and utilizes the J2EE framework as an implementation platform.
Contents	The project consists of a foundation part and an application development part. Foundations: Fundamental J2EE technologies (Servlets, Java Server Pages, JavaBeans, JDBC and Enterprise JavaBeans), Applying J2EE technologies in a client/server environment, using the login and customer registration modules as an example, DB access through JDBC and Enterprise JavaBeans, including a detailed comparison of the two approaches. Application Development: Development of an auctioning server based on a partially supplied DB schema and the solutions developed in the first part, E-Commerce concepts such as sessions, shopping carts, and user tracking, Realization of the auctioning process logic combined with integration of external providers based on Web services.
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Data Base Application, Middleware for Heterogeneous and Distributed Information Systems further material related to the applied technologies and products will be provided

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• "Informatik" im Lehramt an Gymnasien
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2146: project (4P) "DB Scheme Design and Programming (Project)"

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Module name	DB Scheme Design and Programming (Project)
Department, Module ID	Computer Sciences (89) – 2146
Responsible person	Prof. Theo Härder
presence hours, CP	project (4P), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Data Base Application
Educational objectives	As a major goal of the project, the participants are made familiar with the most important techniques for the design of a relational database (information requirements analysis, DB-schema design, DB programming), for DB optimization as well as for design and realization of Web-based DB applications.
Contents	Survey of the relevant functionality of DB2; practise of the needed components (SQL, eSQL/SQLJ and XQuery) Carrying out a complete database design: Analysis and documentation of a given mini-world using UML Transformation of the developed schema into an relational schema Creation and loading of the related database with data , Development of a Web-based DB application, Analysis of the query optimization: Functioning of the query optimizer, Influence of storage structures and access paths on the response time
Forms of examination (prerequisites for final ex.)	recitations
Forms of final examination	presentation
Media types	transparencies/beamer/etc. special software to be used in computer lab.
Literature	see Data Base Application further material related to the applied technologies and products will be provided
Remarks	Das Modul wurde früher unter der Bezeichnung ORDB-Schemaentwurf und -Programmierung angeboten.
Last modification	2007-12-21 08:55:12 (Version 12)

sub-modules

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No submodules assigned.

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• "Informatik" im Lehramt an Gymnasien
  
• "Technische Informatik" im Lehramt an berufsbildenden Schulen
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Bachelor´s Course of Studies "Applied Computer Science"
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2151: course (2C) "Current Trends in DBMSs"

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Module name	Current Trends in DBMSs
Department, Module ID	Computer Sciences (89) – 2151
Responsible person	Prof. Theo Härder
presence hours, CP	course (2C), 3 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	Database Application
Educational objectives	Detailed understanding of design, composition, and realization of DBMS architectures, which can be derived from the layer model of centralized relational DBMSs. These systems manage either new data types or are tailored to special environments and must frequently cope with requirements such as distribution, heterogeneity, and autonomy.
Contents	Architectural extensions Multi-computer DBMSs Information integration Federated DBMSs Native XML DBMSs Database caching P2P DBMSs Data Warehousing, Data Mining
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	To be announced in the course

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2152: course (2C) "Distributed and Parallel Data Base Systems"

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Module name	Distributed and Parallel Data Base Systems
Department, Module ID	Computer Sciences (89) – 2152
Responsible person	Prof. Theo Härder
presence hours, CP	course (2C), 3 CP
Language	German
Requirement Level	Master (Advanced Level)
Frequency	irregular
Required knowledge	Data Base Application
Educational objectives	Intermediation of basics and methods in the area of distributed, federated, and parallel DBMSs: Architecture of multi-computer DBMSs Understanding of the essential aspects of distributed and parallel DB processing Use of algorithms for the distributed DB processing and transaction control Use of replication Evaluation of the corresponding realization concepts
Contents	Classification of multi-computer DBMS Distributed DBMS (Shared Nothing vs. Shared Disk) Data allocation in distributed and parallel DBMS Distributed and parallel query processing Distributed transaction management Use of replicated data Shared-Disk DBMS
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	Rahm, E.: Mehrrechner-Datenbanksysteme: Grundlagen der verteilten und parallelen Datenbankverarbeitung, Addison-Wesley Publ. Comp., 1994 Dadam, P.: Verteilte Datenbanken und Client/Server-Systeme, Springer-Verlag, 1996 Özsu, M.T.; Valduriez, P.: Principles of Distributed Database Systems, 2nd Edition, Prentice Hall, 1999 Gray, J., Reuter, A.: Transaction Processing - Concepts and Techniques, Morgan Kaufmann Publishers Inc., San Mateo, CA., 1993 Bell, D., Grimson, J.: Distributed Database Systems, Addison-Wesley, 1992 Rahm, E.: Hochleistungs-Transaktionssysteme, Vieweg-Verlag, 1993

sub-modules

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No submodules assigned.

Study programmes

• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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Name	Department	Work group [de]
Prof. Theo Härder	Computer Sciences (89)	AG Datenbanken und Informationssysteme

89-2202: Meta-Module (4C+2R) "Middleware for Heterogeneous and Distributed Information Systems"

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Module name	Middleware for Heterogeneous and Distributed Information Systems
Department, Module ID	Computer Sciences (89) – 2202
Responsible person	Prof. Stefan Deßloch
presence hours, CP	Meta-Module (4C+2R), 8 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	see submodules
Educational objectives	see submodules
Contents	see submodules
Forms of final examination	oral examination
Media types	transparencies/beamer/etc. transparencies for downloading (as PDF)
Literature	see submodules

sub-modules

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Module ID	SWS	CP	Level	Responsible person	Module name [en]
89-2203	2C+1R	4		Prof. S. Deßloch	Middleware for Information Systems
89-2204	2C+1R	4		Prof. S. Deßloch	Enterprise Information Systems

Study programmes

• Bachelor´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Computer Science"
  
• Master´s Course of Studies "Applied Computer Science" (non-consecutive)
  
• Master´s Course of Studies "Applied Computer Science"
  

Lecturers

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No lucturers assigned (yet).

89-2203: course (2C+1R) "Middleware for Information Systems"

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Module name	Middleware for Information Systems
Department, Module ID	Computer Sciences (89) – 2203
Responsible person	Prof. Stefan Deßloch
presence hours, CP	course (2C+1R), 4 CP
Language	German (English on request)
Requirement Level	Master (Entry Level)
Frequency	every year
Required knowledge	Bachelor module „Information Systems“ Selected content from „Data Base Application“ (DBS architecture, transaction management, application programming interfaces)
Educational objectives	In addition to the design and implementation of databases, the realization of data access, application functionality, as well as presentation and interaction logic are key tasks during the development of modern, web-based information systems (IS). Within the scope of the resulting multi-layered IS architecture, different forms of middleware are employed between the data management layer and the end user. Middleware provides powerful programming abstractions and infrastructure to simplify the development of IS at various architectural levels by taking over or supporting important tasks in a number of areas: Standardization and simplification of data access and manipulation Management, activation, and reuse of application and presentation logic components Interaction and interoperability of IS-components in distributed environments Transactional properties and guarantees for distributed IS-components Providing IS-functionality in web, internet, and intranet environments Robustness, scalability, and availability of IS The course provides a solid foundation in concepts, methods, and technologies for developing modern information systems using middleware.