Search result: Courses in Spring Semester 2021
Computer Science Bachelor | |||||||||||||||||||||
Electives Students may also choose courses from the Master's program in Computer Science. It is their responsibility to make sure that they meet the requirements and conditions for these courses. | |||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||
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252-0055-00L | Information Theory | W | 4 credits | 2V + 1U | |||||||||||||||||
252-0055-00 V | Informationstheorie | 2 hrs |
| J. M. Buhmann | |||||||||||||||||
252-0055-00 U | Informationstheorie | 1 hrs |
| J. M. Buhmann | |||||||||||||||||
252-0341-01L | Information Retrieval | W | 4 credits | 2V + 1U | |||||||||||||||||
252-0341-01 V | Information Retrieval The lecturer will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| G. Fourny | |||||||||||||||||
252-0341-01 U | Information Retrieval Groups are selected in myStudies. | 1 hrs |
| G. Fourny | |||||||||||||||||
252-0820-00L | Information Technology in Practice Previously called Case Studies from Practice | W | 5 credits | 2V + 1U + 1A | |||||||||||||||||
252-0820-00 V | Information Technology in Practice | 2 hrs |
| M. Brandis | |||||||||||||||||
252-0820-00 U | Information Technology in Practice | 1 hrs |
| M. Brandis | |||||||||||||||||
252-0820-00 A | Information Technology in Practice | 1 hrs | M. Brandis | ||||||||||||||||||
151-0116-10L | High Performance Computing for Science and Engineering (HPCSE) for Engineers II | W | 4 credits | 4G | |||||||||||||||||
151-0116-00 G | High Performance Computing for Science and Engineering (HPCSE) II Lecture: 14-16h Exercises: 10-12h. The exercises begin in the second week of the semester. | 4 hrs |
| P. Koumoutsakos, S. M. Martin | |||||||||||||||||
151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 credits | 4G | |||||||||||||||||
151-0306-00 G | Visualization, Simulation and Interaction - Virtual Reality I Start in the second week of the Semester. | 4 hrs |
| A. Kunz | |||||||||||||||||
401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | W | 10 credits | 2G + 2U + 2P + 4A | |||||||||||||||||
401-0674-00 G | Numerical Methods for Partial Differential Equations This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended. | 2 hrs |
| R. Hiptmair | |||||||||||||||||
401-0674-00 U | Numerical Methods for Partial Differential Equations Groups are selected in myStudies. | 2 hrs |
| R. Hiptmair | |||||||||||||||||
401-0674-00 P | Numerical Methods for Partial Differential Equations Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations" | 2 hrs | R. Hiptmair | ||||||||||||||||||
401-0674-00 A | Numerical Methods for Partial Differential Equations Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations" | 4 hrs | R. Hiptmair |
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