Algorithm Engineering
(in German: Algorithm Engineering - )
Module-ID: FIN-INF-120259 |
| Link: | LSF |
| Responsibility: | Prof. Dr. Stefan Schirra |
| Lecturer: | Prof. Dr. Stefan Schirra |
| Classes: |
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| Applicability in curriculum: |
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Abbreviation AlgEng |
Credit Points 6 |
Semester Summer |
Term ab 1. |
Duration 1 Semester |
Language english |
Level Master |
Intended learning outcomes:
Students learn how to conduct experimental work in algorithmic computer science. They understand how to bridge the gap between theoretical research and practice by methods of Algorithm Engineering which combine design, analysis, implementation and experiments.
Content:
- Realistic computer models
- C++ software libraries
- algorithm design paradigms
- certifying algorithms
- literate programming
- designing and conducting experiments
- case studies in algorithm engineering
- implementation project
Workload:
- 56 h lecture
- 124 h independent work
| Type of examination: | Teaching method / lecture hours per week (SWS): |
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Oral examination |
Lecture 4 SWS |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
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none |
Basic knowledge of algorithms and data structures |
| Media: | Literature: |
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Comments:
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