Course Catalog

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Study Program WiSe 2024/2025

Mathematik, B.Sc.

Bachelor 4. Semester und höher

Module: Fortgeschrittene Themen (A, B und C mit je 9 CP)

Pflichtmodule, welche im 4. und 5. Semester belegt werden sollten. Für jedes der DREI Module (Fortgeschrittene Themen A / B / C) muss jeweils EINE der zugehörigen Veranstaltungen belegt werden, wobei dieses Semester aus folgenden Veranstaltungen gewählt werden kann:
Course numberTitle of eventLecturer
03-M-FTH-9Algebraic Topology (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 External location: MZH 7200 Vorlesung
weekly (starts in week: 1) Wed. 08:00 - 10:00 External location: MZH 7200 Vorlesung
weekly (starts in week: 1) Fri. 12:00 - 14:00 External location: MZH 7200 Übung

Die Veranstaltung finden zusammen statt mit 03-M-SP-26 !

Prof. Dr. Dmitry Feichtner-Kozlov
03-M-FTH-10Basics of mathematical Statistics (Statistics I) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 LINZ4 40010 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 LINZ4 40010 Lecture
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1100 Übung

Die Veranstaltung findet zusammen mit der 03-M-SP-2 statt

Prof. Dr. Werner Brannath

General Studies - Fachergänzende Studien

Fachergänzendes Studienangebot aus der Mathematik bzw. Industriemathematik
Course numberTitle of eventLecturer
03-M-GS-14Starting Data Science in R (in English)
a course on R programming and data science methods with practicals and projects

Practical training (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2490 (Seminarraum) Lecture plus Exercise

The course provides an introductory level of programming skills in R.
Students are welcome to present own ideas, data and projects. I expect a project report or a method talk with demo on own data. Practicals in "R" will work also on synthetic data to illustrate methods features, limitations and differences.

Prof. Dr. Stephan Frickenhaus