Skip to main content

Course Catalog

Study Program SoSe 2021

Mathematik B.Sc./M.Sc.

Master: Wahlpflichtveranstaltungen

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-ME-602.99a (03-IMAT-APX)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Kurs online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Kurs online

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, AI, VMC
Studiengänge: M-M-Ana-Num

Prof. Dr. Nicole Megow
Dr. Franziska Eberle

Vertiefungsrichtung Analysis

Course numberTitle of eventLecturer
03-M-WP-52Introduction to the theory of partial differential equations (in English)
Einführung in die Theorie partieller Differentialgleichungen

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Thu. 12:00 - 14:00 Übung online
Bingying Lu

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-ME-602.99a (03-IMAT-APX)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Kurs online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Kurs online

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, AI, VMC
Studiengänge: M-M-Ana-Num

Prof. Dr. Nicole Megow
Dr. Franziska Eberle

Master: Seminare

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-M-SEM-24Combinatorial Optimization and Machine Learning (in English)

Seminar (Teaching)
ECTS: 6

Informatik Master Profil: SQ, KIKR
Erster Termin 13.April 2021 um 12:15h.
Angebot aus dem Mathe-SG, auch in Informatik als IMVT wählbar.

Prof. Dr. Nicole Megow

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-M-SEM-24Combinatorial Optimization and Machine Learning (in English)

Seminar (Teaching)
ECTS: 6

Informatik Master Profil: SQ, KIKR
Erster Termin 13.April 2021 um 12:15h.
Angebot aus dem Mathe-SG, auch in Informatik als IMVT wählbar.

Prof. Dr. Nicole Megow

Oberseminare

Course numberTitle of eventLecturer
03-M-OS-7Oberseminar Mathematical Parameter Identification (RTG-Seminar) (in English)
Research Seminar - Mathematical Parameter Identification

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 virtuell


Tobias Kluth
Daniel Otero Baguer

General Studies

Course numberTitle of eventLecturer
03-M-GS-7Einführung in R (in English)
Introduction in R

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 09:00 - 11:00 Vorlesung online
Prof. Dr. Werner Brannath
Charlie Hillner
03-M-GS-8Methods of Advanced Data Science in R (in English)
a course on data science methods with practicals and projects

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 Vorlesung

Additional dates:
Wed. 16.06.21 17:15 - 19:00 Zoom

We organize the course online via Zoom.
The course provides an introductory level of programming skills in R.
In continuation to last semesters data science case studies, methods for clustering and classification will be in main focus, including Machine Learning. 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
SZHB 0636ONLINE: English for Mathematicians and Industrial Mathematicians (B2.1) (in English)
Eingangsniveau: B1.2

Kurs (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 16:15 - 17:45 (2 Credit hours)


Valerie Scholes