Duration:
2 Semester | Turnus of offer:
each summer semester | Credit points:
12 |
Course of studies, specific field and terms: - Master Entrepreneurship in Digital Technologies 2020 (advanced module), technology field computer science, Arbitrary semester
- Master Computer Science 2019 (optional subject), advanced module, Arbitrary semester
- Master IT-Security 2019 (advanced module), Elective Computer Science, 1st or 2nd semester
- Master Entrepreneurship in Digital Technologies 2014 (advanced module), technology field computer science, 2nd and/or 3rd semester
- Master Computer Science 2014 (advanced module), advanced curriculum, 2nd and/or 3rd semester
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Classes and lectures: - Seminar Algorithmics, Logic and Computational Complexity (seminar, 2 SWS)
- Algorithmics, Logic and Computational Complexity (exercise, 2 SWS)
- Algorithmics, Logic and Computational Complexity (lecture, 4 SWS)
| Workload: - 40 Hours work on an individual topic with written and oral presentation
- 40 Hours exam preparation
- 160 Hours private studies and exercises
- 120 Hours in-classroom work
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Contents of teaching: | - recent results in algorithmics and complexity theory
- communication and circuit complexity
- structural and descriptive complexity theory
- algorithmic game theory
- nonstandard computing models
- understanding logics as a tool
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Qualification-goals/Competencies: - the students can demonstrate a deep knowledge of concepts and methods for algorithm design and complexity analysis.
- They are able to classify algorithmic problems and to select appropriate strategies for their solution
- They are able to model complex problem settings appropriately.
- They can assess and explain the importance of lower bounds for applications.
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Grading through: |
Requires: |
Responsible for this module: Teachers: |
Literature: - R. Reischuk: Einführung in die Komplexitätstheorie - Teubner, 1990
- S. Arora, B. Barak: Computational Complexity - Cambridge UP 2009
- C. Papadimitriou: Computational Complexity - Addison-Wesley, 1994
- M. Huth, M. Ryan: Logic in Computer Science - Cambridge University. Press 2004
- D. Kozen: Theory of Computation - Springer, 2006
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Language: - German and English skills required
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Notes:Admission requirements for taking the module: - None (the competencies under |
Letzte Änderung: 14.2.2024 |
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