Efficient Algorithms and Data Structures
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2003 is a semester module in English language at Bachelor’s level and Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|240 h||90 h||8 CP|
Content, Learning Outcome and Preconditions
As for the basics of algorithm analysis, various machine models, complexity measures and the solving of recurrence relations are studied.
Regarding fundamental data structures, various search trees, hashing schemes, priority queues and union-find data structures are investigated.
As for basic algorithms, the focus is on the development of numerous max-flow and min-cut algorithms as well as algorithms for matching problems.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||4||Efficient Algorithms and Data Structures (IN2003)||Räcke, H.||
Mon, 10:00–12:00, Interims I 102
Fri, 10:00–12:00, Interims I 102
Learning and Teaching Methods
Thomas H. Cormen, Charles E. Leiserson, Ron L. Rivest, Clifford Stein: Introduction to Algorithms. McGraw-Hill, 1990.
Michael T. Goodrich, Roberto Tamassia: Algorithm Design: Foundations, Analysis, and Internet Examples, John Wiley & Sons, 2002.
Volker Heun: Grundlegende Algorithmen: Einführung in den Entwurf und die Analyse effizienter Algorithmen, 2. Auflage, Vieweg, 2003.
Jon Kleinberg, Eva Tardos: Algorithm Design. Addison-Wesley, 2005.
Donald E. Knuth: The Art of Computer Programming. Vol. 1: Fundamental Algorithms. 3. Auflage, Addison-Wesley, 1997.
Donald E. Knuth: The Art of Computer Programming. Vol. 3: Sorting and Searching. 3. Auflage, Addison-Wesley, 1997.
Christos H. Papadimitriou, Kenneth Steiglitz: Combinatorial Optimization: Algorithms and Complexity. Prentice Hall, 1982.
Uwe Schöning: Algorithmik. Spektrum Akademischer Verlag, 2001.
Steven S. Skiena: The Algorithm Design Manual. Springer, 1998.
Description of exams and course work
The exam may be repeated at the end of the semester.