Courses



Five elective modules out of the Modules 1 to 20 amounting to a total of 50 ECTS-Credits have to be selected.
Elective Modules (50 ECTS-Credits)
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Elective Module 1: Automated Reasoning (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module know different first- and higher-order logics and their advantages and disadvantages. Additionally they are familiar with suitable calculi to implement an automatic theorem prover.
Elective Module 2: Computer Vision (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess in-depth knowledge and competencies of geometric aspects of image recording, of methods to characterize local image content and further selected sub areas of computer vision. They possess the skills to apply these to related, complex problems in computer vision as well as to further elaborate similar and more specialised contents in an autonomous manner. Furthermore they have accumulated a wide basic knowledge in the most important aspects of computer vision and possess the skill to apply this knowledge to practical problems.
Elective Module 3: Data Warehouse Systems (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess a wide understanding for the problems, concepts and techniques of data warehouse systems, the implementation thereof in modern database systems and their application and importance in the economy. Specifically they will possess the skills to technically solve the most important problems and to autonomously elaborate more specialised content.
Elective Module 4: Enterprise Architecture (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess skills in the area of enterprise architecture. In particular, they possess the skill to represent business processes as process models, to analyse, and implement them. They know the frameworks and standards for the implementation of IT Governance. They can identify problems in IT Governance and are able to select instruments, methods and processes to improve them. They have acquired the skill to work in teams.
Elective Module 6: Vehicular Networks (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module understand the most important concepts of intra-vehicle and inter-vehicle communication, which is characterized by high dynamics and heterogeneity of the used protocols. They are able to use measures like performance and reliability. They understand wireless communication between vehicles with a focus on its distributed nature, scalability and security (incl. privacy).
Elective Modules 8: Advanced Communication Systems (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module understand the most important concepts of advanced communication systems. Besides understanding the basics of modern circuitand packet switching networks, they also understand quality of service mechanisms which form the basis for multimedia transmission. They understand the characteristics of wireless and mobile networks.
Elective Module 10: Advanced Distributed and Parallel Systems (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module are able to describe and classify more complex distributed and parallel computer architectures (e.g. Cloud architectures). They understand techniques for resource management, scheduling and workload distribution. Performance analysis and optimisation of distributed and parallel applications can be carried out.
Elective Module 11: Information Retrieval (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module understand the concepts, techniques and algorithms of information retrieval in modern information systems. They possess detailed knowledge of the mode of operation of current web search engines and multimedia retrieval systems, especially their algorithms for retrieving, processing and evaluation of data. Furthermore they possess the skills to apply this knowledge in a practical manner and to autonomously further expand their knowledge in the area of information retrieval.
Elective Module 12: Information Security (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module understand concepts and methods of information security and can apply them. The can use the acquired techniques for protection of IT systems in regards to confidentiality, integrity and availability of data and services. They have acquired the ability to autonomously analyse problems and creatively solve problems.
Elective Module 13: Interactive Theorem Proving (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module are familiar with the verification of specifications. They know first- and higher-order logics and can carry out structured proofs in those logics and verify them in interactive theorem provers.
Elective Module 14: Machine Learning (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess in-depth knowledge and competencies regarding modern methods of machine learning and probabilistic modelling. They possess the skills to apply them to complex problems of machine learning and to further expand their knowledge to similar and more complex problems in an autonomous fashion.
Elective Module 17: Parallel Systems (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module are familiar with parallel programming in theory and practice. They have a solid understanding of the possibilities, challenges and limitations of parallel processing and can identify promising parallelisation strategies. Performance analysis can be applied as an interface between parallel computer architectures and programs.
Elective Module 18: Semantic Web (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess an in-depth knowledge of fundamental methods, tools and applications for combining and automatic retrieval of information in the semantic web or web 3.0. They have command of relevant descriptive languages (RDF, RDFS, OWL, RIF) and methodologies for knowledge representation in the form of ontologies and have an overview of the inference mechanisms and applications which build on that.
Elective Module 20: Web Engineering (10 ECTS-Credits, 5 h) (no courses)
Prerequisites for registration: none
Learning Outcome: Students who have completed this module possess an in-depth understanding of the specific requirements of web applications. They master relevant technologies and languages (XHTML, JavaScript, CSS, Java) as well as methods for the development of web applications, especially requirement analysis, test procedures and project management.

Notes:
  • There may still be changes in the courses offered as well as room allocation and course dates.
  • The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).