Difference between revisions of "Advanced Programming - Winter 16"
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{{Lecture | {{Lecture | ||
| term = Winter 16/167 | | term = Winter 16/167 | ||
| − | | lecturer = Lecture: [[Christoph Kowitz, M.Sc. (hons) | Dr. rer. nat. Christoph Kowitz ]], Tutorials: [[Sebastian Rettenberger, M.Sc.]], [[Roland Wittmann, M.Sc.]] | + | | lecturer = Lecture: [[Christoph Kowitz, M.Sc. (hons) | Dr. rer. nat. Christoph Kowitz]], Tutorials: [[Sebastian Rettenberger, M.Sc.]], [[Roland Wittmann, M.Sc.]] |
| timeplace = Lecture: TBD; see also TUMOnline | | timeplace = Lecture: TBD; see also TUMOnline | ||
| tutorials = BGCE Supervised Teaching | | tutorials = BGCE Supervised Teaching | ||
Revision as of 07:50, 7 June 2016
- Term
- Winter 16/167
- Lecturer
- Lecture: Dr. rer. nat. Christoph Kowitz, Tutorials: Sebastian Rettenberger, M.Sc., Roland Wittmann, M.Sc.
- Time and Place
- Lecture: TBD; see also TUMOnline
- Audience
- Computational Science and Engineering, first semester (module IN1503)
- Tutorials
- BGCE Supervised Teaching
- Exam
- see below and TUMOnline for announcement and registration
- Semesterwochenstunden / ECTS Credits
- 4 SWS (2V+2Ü) / 5 Credits
- TUMonline
- TBD
News
There is no lecture taking place in the first week of the semester (Oct 12-18) due to introductory weeks of master programmes.
Concept
The weekly lecture discusses selected programming topics, C++ concepts, and programming language techniques. Although we will have a short start-up phase on C/C++ prgoramming, this course relies on many fundamental C++ aspects and programming skills. If the participants are not familiar with those concepts, they have to aquire them themselves prior to the lecture (self-study).
In the weekly tutorials, tutors participating in the Supervised Teaching programme first give a brief presentation on selected topics. These talks comprise outlooks and studies on topics not covered by the lecture and the exam that are however mandatory to program successfully today. Examples for topics are systematic testing and debugging, runtime measurements, build environments and so forth. Afterwards, the tutors present and discuss solutions on selected worksheet problems. The worksheets are published online roughly a week before the corresponding tutorials. This way, all participants have the opportunity to study the problems at home before they are presented solutions and additional information on the challenges. There is no mandatory homework however.
Our tutors are mentored by a senior Ph.D. student due to the Supervised Teaching programme and get didactic feedback and evaluation permanently.
Lecture Slides & Tutorial
Slides, information on lecture rooms, schedules, exam registrations, and so forth are available at Moodle. You can register via TUMOnline.
Tutorials
All organisational details on the tutorials as well as the rooms and dates can be found in TUMOnline. See the corresponding link on the top of this page. All lecture material for the tutorials is published in Moodle. See the link above as well.
Exam
Recommended Reading
These links provide further information on particular topics. For literature, please consult the module description IN1503 of the course.
