Search result: Courses in Spring Semester 2016
Computer Science Bachelor | |||||||||||||||||||||||||||
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Compulsory Major Courses | |||||||||||||||||||||||||||
Major in Computational Science | |||||||||||||||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
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252-0220-00L | Learning and Intelligent Systems | O | 8 credits | 4V + 2U + 1A | |||||||||||||||||||||||
252-0220-00 V | Learning and Intelligent Systems | 4 hrs |
| A. Krause | |||||||||||||||||||||||
252-0220-00 U | Learning and Intelligent Systems | 2 hrs |
| A. Krause | |||||||||||||||||||||||
252-0220-00 A | Learning and Intelligent Systems No presence required. | 1 hrs | A. Krause | ||||||||||||||||||||||||
401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | O | 8 credits | 4V + 2U + 1A | |||||||||||||||||||||||
401-0674-00 V | Numerical Methods for Partial Differential Equations The course will adopt a flipped classroom model that is, the students are requested to prepare a new topic, which will then be discussed in class and practiced during plenary tutorial sessions. | 4 hrs |
| R. Hiptmair | |||||||||||||||||||||||
401-0674-00 U | Numerical Methods for Partial Differential Equations | 2 hrs |
| R. Hiptmair | |||||||||||||||||||||||
401-0674-00 A | Numerical Methods for Partial Differential Equations Attendance of lectures and tutorials for 401-0674-00 V Numerical Methods for Partial Differential Equations required. All regulations and requirements for that course apply. | 1 hrs | R. Hiptmair | ||||||||||||||||||||||||
401-0686-10L | High Performance Computing for Science and Engineering (HPCSE) for Engineers II | W | 4 credits | 4G | |||||||||||||||||||||||
401-0686-00 G | High Performance Computing for Science and Engineering (HPCSE) II NOTICE: As of April 4, the course will take place on Monday morning in HG F 1. | 4 hrs |
| P. Koumoutsakos, D. Rossinelli |
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