Algorithms of Scientific Computing II - Winter 16: Difference between revisions
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| lecturer = [[Univ.-Prof. Dr. Thomas Huckle]] | | lecturer = [[Univ.-Prof. Dr. Thomas Huckle]] | ||
| tumonline = https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950263680&pSpracheNr=1 | | tumonline = https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950263680&pSpracheNr=1 | ||
| timeplace = | | timeplace = '''Lecture''': weekly, Thursdays 12:15 - 13:45 MI 02.07.023 (starting 20.10.2016) | ||
:Tutorial | :'''Tutorial''': biweekly, Fridays 10:15 - 11:45 MI 02.07.023 (starting 28.10.2016) | ||
:biweekly, starting | |||
| credits = 3 SWS (2V + 1Ü) / 4 Credits | | credits = 3 SWS (2V + 1Ü) / 4 Credits | ||
| audience =Elective topic in Informatik Bachelor/Master/Diplom subject area ''Algorithms and Scientific Computing'' | | audience =Elective topic in Informatik Bachelor/Master/Diplom subject area ''Algorithms and Scientific Computing'' |
Revision as of 09:45, 2 September 2016
- Term
- 16
- Lecturer
- Univ.-Prof. Dr. Thomas Huckle
- Time and Place
- Lecture: weekly, Thursdays 12:15 - 13:45 MI 02.07.023 (starting 20.10.2016)
- Tutorial: biweekly, Fridays 10:15 - 11:45 MI 02.07.023 (starting 28.10.2016)
- Audience
- Elective topic in Informatik Bachelor/Master/Diplom subject area Algorithms and Scientific Computing
- Wirtschaftsinformatik Bachelor (Modul IN2002)
- Master Data Engineering and Analytics
- Master Mathematics in Data Science
- Tutorials
- Valeriy Khakhutskyy
- Exam
- tba
- Oral Repetition Exam: tba
- Semesterwochenstunden / ECTS Credits
- 3 SWS (2V + 1Ü) / 4 Credits
- TUMonline
- https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950263680&pSpracheNr=1
Moodle
All materials are provided in moodle
Content
This semester the lecture will be held by Prof. Huckle with a focus on Scientific Computing. The following themes will be covered:
- Tensor Decompositions and Quantum Computing
- Image Processing und ill-posed problems
- Wavelet und Multigrid
News
Prerequisites
Lecture IN0019 Numerical Programming or similar basic knowledge in numerical methods.