Recent Topics in Data Science for Fundamental Physics for M.Sc. Students

Module NAT5012m

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

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

This seminar is intende for students interesting in catching up to the current state of the art of data science application in fundamental physics, including the application of modern machine learning techniques, simulation-based inference, as well as large-scale and distributed data processing and statistical analysis techniques. The seminar is organized as a Journal Club in which we will review and discuss recent literature as well as have the occasional guest lecture. Participants are expected to actively engage with the reading material and give presentations on papers of their choice. If time permits we will also spend time reimplementing some techniques as a common activity.

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

no info

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

SS 2023 WS 2022/3

Type	SWS	Title	Lecturer(s)	Dates	Links
HS	2	Recent Topics in Data Science for Fundamental Physics	Heinrich, L.	Wed, 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.

Learning and Teaching Methods

The course will be primarily driven by students who will select interesting papers to discuss. Where applicable we will have intermittent lectures on specific topics / or techniques in order to understand the content of the literature.

Media

The course is primarily driven by student presentations, who may choose a presentation format of their liking.

Literature

no info

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

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
Time	Location	Info	Registration
Seminar Talk in Recent Topics in Data Science for Fundamental Physics for M.Sc. Students
Mon, 2023-02-06 till 23:59		Dummy-Termin, Leistung wird im Rahmen der Veranstaltung erbracht. // Dummy date. Course work during the semester.	till 2023-02-05