Modulcode: | infODS-01a |
Englische Bezeichnung: | Optimization and Data Science |
Modulverantwortliche(r): | Prof. Dr. Thomas Slawig |
Turnus: | unregelmäßig (SS19 SS20 SS21) |
Präsenzzeiten: | 4V 2Ü |
ECTS: | 8 |
Workload: | 60 h lectures, 30 h group excercise, 150 h self-study and home exercise |
Dauer: | ein Semester |
Modulkategorien: | BSc-Inf-WP (BSc Inf (21)) WI (BSc Inf (15)) MSc-Inf-WP (MSc Inf (21)) 2F-MEd-Inf-WP (MEd-Hdl Inf (21)) 2F-MA-Inf-WP (2F-MA Inf (21)) MSc-WInf-WP-WInf (MSc WInf (21)) WI (MSc Inf (15)) WI (MSc WInf (15)) WiWi (MSc WInf) |
Lehrsprache: | Englisch |
Voraussetzungen: | Inf-Math-A Inf-Math-B Inf-Math-C Inf-ProgOO |
Theory and algorithms for optimization problems used in data science and in general.
The students are able to
Oral exam
Flipped classroom method:
According to the subject examination regulations for the Master's degree programme in Business Information Technology starting with WS 2021/22, the module is credited in the elective area of Business Information Technology for this Master's degree program. For students according to the subject examination regulations valid before, the credit will be awarded in the area of computer science.