Recent Topics in Data Science for Fundamental Physics for M.Sc. Students
Module NAT5012m
Basic Information
NAT5012m is a semester module in language at which is offered irregularly.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of student seminars for condensed matter physics
- Catalogue of student seminars for nuclear, particle, and astrophysics
If not stated otherwise for export to a non-physics program the student workload is given in the following table.
Total workload | Contact hours | Credits (ECTS) |
---|---|---|
120 h | 60 h | 4 CP |
Responsible coordinator of the module NAT5012m is Lukas Heinrich.
Content, Learning Outcome and Preconditions
Content
Learning Outcome
After successful participation in the module the student can use the basic methods of literature retrieval, condense their knowlegde from scientific papers into a presentation and obtain presentation skills.
They have learned about recent topics in the field of research.
The students will have acquired the following skills- Critical reading and paper reviewing skills
- Skills on presentation of cutting-edge research
- Learn about practical issues in reproducibility of scientific results
Preconditions
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
Type | SWS | Title | Lecturer(s) | Dates | Links |
---|---|---|---|---|---|
PS | 2 | Recent Topics in Data Science for Fundamental Physics |
Heinrich, L.
Assistants: Eller, P. |
Thu, 16:00–18:00, PH-Cont. C.3201 |
|
RE | 2 | Revision Course to Recent Topics in Data Science for Fundamental Physics |
Responsible/Coordination: Heinrich, L. |
singular or moved dates |
Learning and Teaching Methods
Media
Literature
Module Exam
Description of exams and course work
In the course of the seminar each student individually prepares a talk of about 60 minutes on a topic of current research and actively participates in the discussion about all the talks in the seminar. Hence participation in essentially all dates of the seminar is expected. Based on the individual talk the learning outcome is tested.
Aspects of evaluation are especially:
- Illustrative and clear presentation of a topical research field within a scientific talk
- Answering questions on the scientific content of the talk