Advanced Programming - Winter 16
- Winter 16/17
- Lecture: Dr. rer. nat. Tobias Neckel, Dr. rer. nat. Vasco Varduhn, Tutorials: Sebastian Rettenberger, M.Sc., Roland Wittmann, M.Sc.
- Time and Place
- Lecture: CH 27402, Walter-Hieber-Hörsaal (5407.01.740B) in Chemistry Building, Thursdays, 4pm - 6pm; see also TUMOnline
- Computational Science and Engineering, first semester (module IN1503)
- BGCE Supervised Teaching
- see below and TUMOnline for announcement and registration
- Semesterwochenstunden / ECTS Credits
- 4 SWS (2V+2Ü) / 5 Credits
- TUM Online Lecture TUM Online Tutorial Moodle
Please note: There will be no tutorials on December 20th and December 23th and there will be no lecture on December 22th.
Please note: Tuesday tutorials start at 3:15pm.
Please note: Friday tutorials start at 8:30am.
Please note: there will be no tutorials on Friday, Oct. 28th and Tuesday, Nov. 1st.
There is no lecture taking place in the first week of the semester (Oct 17-21) due to introductory weeks of master programmes.
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.
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.
These links provide further information on particular topics. For literature, please consult the module description IN1503 of the course.
- Using g++
- Difference between C and C++ (at least some of them)
- The Art of Computer Programming
- What Every Computer Scientist Should Know About Floating-Point Arithmetic
- Remarks on C (German)
- Eclipse with C/C++ Development Tooling
- Node Level Performance Engineering (Wellein,Hager)
Additional Training Material
Literature for Intro to C++
In case you do not have much experience with C++ and object-oriented programming, you really need to make up for that! Here are possible options:
- Walter Savitch, Kenrick Mock: Absolute C++