Search result: Catalogue data in Autumn Semester 2019
Computer Science Master  | ||||||
 Interfocus Courses | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 263-0006-00L | Algorithms Lab  Only for master students, otherwise a special permission by the student administration of D-INFK is required. | O | 8 credits | 4P + 3A | A. Steger | |
| Abstract | Students learn how to solve algorithmic problems given by a textual description (understanding problem setting, finding appropriate modeling, choosing suitable algorithms, and implementing them). Knowledge of basic algorithms and data structures is assumed; more advanced material and usage of standard libraries for combinatorial algorithms are introduced in tutorials. | |||||
| Learning objective | The objective of this course is to learn how to solve algorithmic problems given by a textual description. This includes appropriate problem modeling, choice of suitable (combinatorial) algorithms, and implementing them (using C/C++, STL, CGAL, and BGL). | |||||
| Literature | T. Cormen, C. Leiserson, R. Rivest: Introduction to Algorithms, MIT Press, 1990. J. Hromkovic, Teubner: Theoretische Informatik, Springer, 2004 (English: Theoretical Computer Science, Springer 2003). J. Kleinberg, É. Tardos: Algorithm Design, Addison Wesley, 2006. H. R. Lewis, C. H. Papadimitriou: Elements of the Theory of Computation, Prentice Hall, 1998. T. Ottmann, P. Widmayer: Algorithmen und Datenstrukturen, Spektrum, 2012. R. Sedgewick: Algorithms in C++: Graph Algorithms, Addison-Wesley, 2001. | |||||
| 263-0007-00L | Advanced Systems Lab Limited number of participants. Takes place the last time in this form. Students who repeat the lab have priority. All others have to take the course in the spring semester 20! | O | 8 credits | 4P + 3A | G. Alonso | |
| Abstract | The goal of this course is to teach students how to evaluate the performance of complex computer and software systems. Accordingly, the methodology to carry out experiments and measurements is studied. Furthermore, the modelling of systems with the help of queueing network systems is explained. | |||||
| Learning objective | The goal of this course is to teach students how to evaluate the performance of complex computer and software systems. | |||||
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