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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.

Basic Information

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 workloadContact hoursCredits (ECTS)
150 h 30 h 5 CP

Content, Learning Outcome and Preconditions

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, Learning and Teaching Methods and Literature

Courses and Schedule

TypeSWSTitleLecturer(s)DatesLinks
SE 2 Computational Photonics and Nanoelectronics (Advanced Seminar) Gagliardi, A. Haider, M. Jirauschek, C.
Assistants: Harth, M.Hussain, K.Popp, J.Seitner, L.
Wed, 09:45–11:00, virtuell
eLearning
SE 2 Master Seminar Course - Recent Advances in the Analysis of 3D Shapes (IN2107, IN4848) Bernard, F. Eisenberger, M. Häfner, B. Ye, Z.
Responsible/Coordination: Cremers, D.
SE 2 Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860) Faghihroohi, S. Farshad, A. Khakzar, A. Navab, N. Soberanis Mukul, R. eLearning
documents
SE 2 M.Sc. Seminar: Modern Trends in High Performance Computing (IN218305, IN2107) Narvaez Rivas, S. Samfaß, P.
Responsible/Coordination: Bader, M.
Tue, 10:00–12:00, virtuell
Fri, 12:00–14:00, virtuell
and singular or moved dates
eLearning
SE 2 Recent Advances in 3D Computer Vision (IN2107) Sommer, C.
Responsible/Coordination: Cremers, D.
Assistants: Brahimi, M.Häfner, B.
singular or moved dates
SE 2 Seminar - Deep Learning in Physics (IN2107, IN0014, IN4939) Tathawadekar, N. Weitz, S. Xie, Y.
Responsible/Coordination: Thürey, N.
Mon, 12:00–14:00, virtuell
and singular or moved dates
SE 2 Seminar - Recent Trends in 3D Computer Vision & Deep Learning (IN0014, IN2107, IN4826) Brasch, N. Jung, H. Örnek, E. Tombari, F. singular or moved dates
eLearning
SE 2 Seminar - Selected Topics in Machine Learning Research (IN2107, IN4872) Geisler, S. Günnemann, S. Kopetzki, A. Kuvshinov, A. Zügner, D. 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.

Module Exam

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.

Title
TimeLocationInfoRegistration
Seminar Computational Photonics and Nanoelectronics
till 2022-01-15 (cancelation of registration till 2022-01-28)
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