CSE Seminar Course Scientific Computing
Module IN2183
This Module is offered by TUM Department of Informatics.
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective
sections.
IN2183 is a semester module
in English language
at Master’s level
which is offered every semester.
This Module is included in the following catalogues within the study programs in physics.
- Further Modules from Other Disciplines
Total workload | Contact hours | Credits (ECTS) |
150 h |
30 h |
5 CP |
Content
The lecturers choose appropriate topics related to Computational Science and Engineering and support the participants in acquiring the topical and scientific skills.
Example topics (not necessarily offered every year):
- Dynamical Systems & Scientific Computing
- Fluid-Structure Interaction
- Medical Image Processing
- Numerical Methods for Computational Finance
- Numerical Methods for Earthquake & Tsunami Simulation
- Programming Models and Code Generation
- Software Engineering in Computational Intensive Applications
- Tracking and Navigation for Computer Aided Surgery
Learning Outcome
At the end of the module students are able to independently study scientific literature in a CSE related topic. They can apply the principles of scientific work and are able to take part in a scientific discussion. The participants are able to analyze their topic and understand its broader context. The participants can structure their topic for a presentation and prepare a presentation of it. In the presentation they are able to explain their topic in an understandable way using the available media. The participants can also summarize their topic in a written way.
Preconditions
no info
Courses and Schedule
Type | SWS | Title | Lecturer(s) | Dates | Links |
SE |
2 |
Computational Photonics and Nanoelectronics (Advanced Seminar)
|
Gagliardi, A.
Jirauschek, C.
Assistants: Asirim, Ö.Gößwein, M.Haider, M.Schreiber, M.Seitner, L. … (insgesamt 7)
|
Wed, 09:45–11:00, virtuell
|
eLearning
|
SE |
2 |
Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860)
|
Faghihroohi, S.
Farshad, A.
Mohammadi Yeganeh, Y.
Navab, N.
|
Thu, 12:00–14:00, MI 03.13.010
|
eLearning
documents
|
SE |
2 |
M.Sc. Seminar: Modern Trends in High Performance Computing (IN218305, IN2107)
|
Bader, M.
Dorozhinskii, R.
Gratl, F.
Mühlhäußer, M.
|
Tue, 10:00–12:00, MI 02.07.023
Fri, 12:00–14:00, MI 02.07.023
|
eLearning
|
SE |
2 |
Recent Advances in 3D Computer Vision (IN2107, IN4780))
|
Eisenberger, M.
Häfner, B.
Responsible/Coordination: Cremers, D.
|
|
|
SE |
2 |
Seminar - Recent Trends in 3D Computer Vision & Deep Learning (IN0014, IN2107, IN4826)
|
Brasch, N.
Di, Y.
Gasperini, S.
Jung, H.
Lehner, A. … (insgesamt 9)
|
singular or moved dates
|
eLearning
|
SE |
2 |
Seminar - Selected Topics in Machine Learning Research (IN2107, IN4872)
|
Gosch, L.
Günnemann, S.
Kopetzki, A.
|
singular or moved dates
|
eLearning
documents
|
Learning and Teaching Methods
After an introduction to the overall topic the students start to study literature of a challenging scientific topic. The participants get familiar with their topic and prepare a presentation of it. If needed, they can get advice by the supervisors. Through the presentations of the other students they get a broader view of the topic. Students have also to write a short term paper to summarize their topic.
Media
Slides, whiteboard
Literature
Will be announced by supervisor before the course starts.
Description of exams and course work
Type of Assessment: Presentation of 30 to 45 minutes with an additional discussion with the audience of up to 15 minutes.
The presentation examines the student´s ability in presenting, structuring and explaining the given topic. Questions from the supervisors and the audience examine the student´s ability to analyze his or her topic in detail and to understand the overall context. The discussion also examines the ability to participate in a scientific discussion. The submitted short term paper examines on the one hand the skills in analyzing the topic itself, on the other hand the ability to recapitulate the topic.
Exam Repetition
There is a possibility to take the exam in the following semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.