| Semester | Sommersemester 2026 |
| Modulnummer | INF-ALG-27 |
| Veranstaltungsnummer | INF-ALG-015 , INF-ALG-016 |
| Studiengänge | Wirtschaftsinformatik Master, Informatik Master, Informations-Systemtechnik Master |
| IBR Gruppe | ALG (Prof. Fekete) |
| Art | Vorlesung & Übung |
| Dozent | |
| Assistent | |
| LP | 5 |
| SWS | 2+1+1 |
| Ort & Zeit | Vorlesung: Dienstags, 15:00 - 16:30 Uhr (Raum SN 19.7) |
| Beginn | TBD |
| Voraussetzungen | Prerequisites are knowledge of algorithms and data structures, basic graph problems and graph algorithms (e.g., as provided in the lecture "Netzwerkalgorithmen"); basic knowledge from theoretical computer science (NP-completeness) are helpful, but will definitely be supplemented. |
| Scheinerwerb | Homework assignments throughout the semester (Studienleistung) and an oral exam (probably online) at the end of the semester (Prüfungsleistung). |
| Inhalt | Many interesting and natural algorithmic problems (e.g., the Traveling Salesman Problem) are NP-complete - hence, we cannot expect to find a "perfect" algorithm that (i) always and (ii) fast finds (iii) an optimal solution. However, hard problems still need to be solved! In this class we consider algorithms that do not necessarily find an optimal solution, but that (i) always and (ii) fast find a (iii) provably good solution. Among the topics of this class are:
In the context of various problems, a wide spectrum of techniques and concepts will be provided. |
OrganizationIf you run into any problems, please contact Peter.
Homework SetsThe homework assignment sheets will be published below. LiteratureThe first part of the lecture will be on classic results for which the following books can be useful.
The second part of the lecture will be on recent results for which the corresponding papers will be announced in due time. | |