Revision as of 12:17, 7 November 2016

Term: 16
Lecturer: Univ.-Prof. Dr. Thomas Huckle
Time and Place: Lecture: weekly, Thursdays 12:10 - 13:40 MI 02.07.023 (starting 20.10.2016); Tutorial: biweekly, Fridays 14:30 - 16:00 MI 02.07.034 (starting 11.11.2016) , 10:15 - 11:45 MI 02.07.023 (only on 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

This semester the lecture will be held by Prof. Huckle with a focus on Scientific Computing. The following themes will be covered:

Lecture IN0019 Numerical Programming or similar basic knowledge in numerical methods.

@@ Line 4: / Line 4: @@
 | tumonline = https://campus.tum.de/tumonline/wblv.wbShowLvDetail?pStpSpNr=950263680&pSpracheNr=1
 | timeplace = '''Lecture''': weekly, Thursdays 12:10 - 13:40 MI 02.07.023 (starting 20.10.2016)
-:'''Tutorial''': biweekly, Fridays 10:15 - 11:45 MI 02.07.023 (starting 28.10.2016)
+:'''Tutorial''': biweekly, Fridays 14:30 - 16:00 MI 02.07.034 (starting 11.11.2016) , 10:15 - 11:45 MI 02.07.023 (only on 28.10.2016)
 | credits = 3 SWS (2V + 1Ü) / 4 Credits
 | audience =Elective topic in Informatik Bachelor/Master/Diplom subject area ''Algorithms and Scientific Computing''