Master Data Science (645 [1])

CORE Modules (30 ECTS)

Module IML Introduction to Machine Learning (6 ECTS)

• 053613 VU 6 ECTS [ en ] Introduction to Machine Learning
  Tschiatschek, Fr 13:15-14:45 (16×), Mo 15:00-16:30 (12×)

Module SDS Statistics for Data Science (6 ECTS)

• 053614 VU 6 ECTS [ en ] Statistics for Data Science
  Steinberger, Th 13:15-16:30 (8×), We 09:45-11:15 (14×)

Module MDS Mathematics of Data Science (4 ECTS)

• 053611 VU 4 ECTS [ en ] Mathematics of Data Science
  Petersen, Tu 09:45-12:00 (13×)

Module OMD Optimisation Methods for Data Science (4 ECTS)

• 053612 VU 4 ECTS [ en ] Optimisation Methods for Data Science
  Bomze, Th 11:30-14:45 (8×), Th 11:30-13:00 (7×)

Module MMD Mining Massive Data (6 ECTS)

Module VED Visual and Exploratory Data Analysis (4 ECTS)

Doing Data Science, Ethical and Legal Issues (28 ECTS)

Module DEL Doing Data Science, Ethical and Legal Issues (12 ECTS)

• 040172 VU 6 ECTS [ en ] Doing Data Science (MA)
  Ehmke, Tu 15:00-16:30 (12×), We 13:15-14:45 (11×), We 15:00-16:30 (13×), Tu 13:15-14:45 (12×)

Module DAP Data Analysis Project and Seminar (16 ECTS)

Specialisation in Areas of Data Science (34 ECTS)

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

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

Master's Seminar (2 ECTS)

Module MAS Masterseminar (2 ECTS)