Module SAD Specialisation in Areas of Data Science (34 ECTS)

Students will be introduced to the state of the art in the field of the informatics and/or mathematical and/or statistical fundamentals of Data Science and will gain in-depth competence in specific fields of application, e.g. human sciences, language processing, finance, medicine, physics or computational science.

Students choose courses totalling 34 ECTS in the fields of Foundations and Applications. At least 12 ECTS must be completed in each of these areas.

If courses other than those listed below are chosen, they must be approved in advance (!) by the Studienprogrammleitung.

Please note:
(1) Participation in courses from other studies is subject to availability.
(2) Possible participation requirements (prerequisites) from other curricula apply.
(3) Not all courses are offered in English. Please note the information on the language of instruction in the course description (Details).

Foundations

040721 UK 3 ECTS [ en ] Selected Topics in Statistics

Krivobokova, Th 15:00-16:30 (14×)
040723 UK 3 ECTS Financial and Insurance Mathematics

Klein
040771 UK 4 ECTS Case Studies in Statistics

Wassermann, Fr 16:45-18:15 (16×)
040772 UK 4 ECTS [ en ] Complex Statistical Methods

Krivobokova, We 15:00-16:30 (13×), Tu 26.01. 18:30-20:00
052100 VU 3 ECTS [ en ] Algorithms and Data Structures 2

Kale, Mo 09:45-11:15 (12×)
052101 VU 3 ECTS [ en ] Numerical Algorithms

Gansterer, Th 09:45-11:15 (16×)
052111 VU 6 ECTS [ en ] Advanced Algorithms

Henzinger, Mo 11:30-13:00 (12×), We 11:15-12:45 (14×)
052112 VU 6 ECTS [ en ] Numerical High Performance Algorithms

Gansterer, Th 13:15-14:45 (16×), Tu 13:15-14:45 (13×)
052113 VU 6 ECTS [ en ] Software Tools and Libraries for Scientific Computing

Schabauer, Mo 18:30-20:00 (12×), We 18:30-20:00 (14×)
052311 VU 6 ECTS [ en ] Data Mining

Schindlerova, Th 08:00-09:30 (16×), Tu 15:00-16:30 (13×)
052600 VU 6 ECTS [ en ] Signal and Image Processing

Grosse-Wentrup, Tu 11:30-13:00 (13×), We 15:00-16:30 (13×)
052617 VU 6 ECTS [ en ] Image Processing and Image Analysis

Möller, Th 09:45-11:15 (16×), Tu 09:45-11:15 (13×)
052800 VU 6 ECTS [ en ] Parallel Computing

Dokulil, Tu 15:00-16:30 (13×), We 16:45-18:15 (14×)
136041 SE 6 ECTS [ en ] Topics in Deep Learning and Natural Language Processing

Roth, Th 09:45-11:15 (16×)
250063 VO 6 ECTS [ en ] Nonlinear optimization

Neumaier, Th 15:00-16:30 (16×), We 13:15-14:45 (14×)
250068 VO 5 ECTS [ en ] Stochastic processes

Berestycki, Tu 13:15-14:45 (13×), We 13:15-14:00 (14×)

Applications

040775 UK 3 ECTS Biometrics 2

Vogl, Fr 08:00-09:30 (16×)
052315 VU 6 ECTS [ en ] Natural Language Processing

Winiwarter
053530 VU 6 ECTS [ de en ] Statistical methods in bioinformatics

von Haeseler
070263 UE 5 ECTS [ en ] Reading course - Theory and Concepts in the Digital Humanities

Andrews, Mo 09:45-11:15 (12×)
180118 VO 3 ECTS [ en ] Cognitive Science - Introduction and Basic Concepts

Peschl
180147 SE 2 ECTS [ en ] Introduction to Cognitive Science I

Zimmermann
180150 VO 1 ECTS [ en ] MEi:CogSci Cognitive Science Lecture Series

Peschl, Tu 18:30-20:30 (12×)
180160 SE 6 ECTS [ en ] New Trends in Cognitive Science - The predictive coding approach to mind/cognition

Sladky, Tu 16:45-18:15 (13×)
180161 SE 4 ECTS [ en ] MEi:CogSci Journal Club - Causal inference in cognitive neuroscience (neuroimaging and stimulation)

Tik, We 18:00-20:30 (11×)
270008 PR 3 ECTS Laboratory Course: Analysis of Large Datasets of "omics"-type Experiments

Gerner
270070 VO+UE 4 ECTS [ en ] Machine learning for molecules and materials - with an introduction to python

Marquetand
270089 UE 4 ECTS [ de en ] Research Examples from Theoretical Chemistry

Gonzalez Herrero

Last modified: Fr 08.01.2021 00:46