Master Data Science (645 [1])
CORE Module (30 ECTS)
Modul IML Introduction to Machine Learning (6 ECTS)
-
Tschiatschek, Fr 13:15-14:45 (16×), Mo 15:00-16:30 (14×)
Modul SDS Statistics for Data Science (6 ECTS)
-
Steinberger, Fr 15:00-18:15 (16×)
Modul MDS Mathematics of Data Science (4 ECTS)
-
Ehler, Di 09:45-12:00 (12×)
Modul OMD Optimisation Methods for Data Science (4 ECTS)
-
Böhm, Mo 09:45-11:15 (14×), Do 11:30-12:15 (14×)
Modul MMD Mining Massive Data (6 ECTS)
Modul VED Visual and Exploratory Data Analysis (4 ECTS)
Doing Data Science, Ethical and Legal Issues (28 ECTS)
Modul DEL Doing Data Science, Ethical and Legal Issues (12 ECTS)
-
Ehmke, Di 15:00-16:30 (12×), Mi 13:15-14:45 (12×), Mi 15:00-16:30 (12×)
Modul DAP Data Analysis Project and Seminar (16 ECTS)
Data Analysis Project
-
Dimmery
Research Seminar
-
Dörner, Di 09:45-11:15 (11×), Di 11:30-13:00 (12×), Di 12.10. 09:50-11:15
-
Reisenhofer, Mo 09:45-11:15 (14×)
-
Andrews, Mo 09:45-12:00 (14×)
Specialisation in Areas of Data Science (34 ECTS)
Modul SAD Specialisation in Areas of Data Science (34 ECTS)
Foundations
-
Krivobokova, Do 15:00-16:30 (14×)
-
Klein, Di 11:30-13:00 (12×), Mo 31.01. 13:15-14:45
-
Wassermann, Mi 16:45-18:15 (13×), Mi 18:30-20:00 (3×)
-
Krivobokova, Di 13:15-14:45 (12×)
-
Hanauer, Mo 09:45-11:15 (13×), Mo 31.01. 11:30-13:00, Do 10.02. 11:30-13:00
-
Gansterer, Do 09:45-11:15 (14×)
-
Kale, Mo 11:30-13:00 (14×), Di 15:00-16:30 (12×)
-
Gansterer, Di 13:15-14:45 (12×), Do 13:15-14:45 (14×)
-
Kriege, Di 15:00-16:30 (12×), Do 08:00-09:30 (14×)
-
Schikuta, Di 16:45-18:15 (9×)
-
Grosse-Wentrup, Di 11:30-13:00 (12×), Mi 15:00-16:30 (13×)
-
Möller, Di 09:45-11:15 (12×), Do 09:45-11:15 (14×)
-
Bajrovic, Di 15:00-16:30 (12×), Mi 16:45-18:15 (13×)
-
Neumaier, Di 16:30-18:00 (12×), Mi 13:15-14:45 (13×)
-
Berestycki, Fr 12:30-13:15 (16×), Do 09:45-11:15 (13×)
-
Schuch, Mi 13:15-14:45 (13×), Do 13:15-14:45 (14×)
-
Kazeev, Mo 13:15-14:45 (14×), Do 11:30-13:00 (14×)
-
Petersen, Mo 16:45-18:15 (14×)
-
Schertzer, Mi 17:15-18:00 (13×), Do 16:45-18:15 (13×)
-
Müller, Mi 13:15-14:45 (13×)
-
Menche, Mi 09:45-11:15 (12×)
-
Menche, Do 15:00-15:45 (14×)
-
400028 SE 5 ECTS [ en ] ( VOR-ORT ) A critical appropriation of big data: Political economy at the crossroads of new methods - Seminar für DissertantInnen: MethodenGrigera, Mo 25.10. 09:45-16:00, Mi 27.10. 09:45-16:00, Do 28.10. 09:45-16:00, Fr 29.10. 09:45-16:00
Applications
-
Hautsch, Di 09:45-11:15 (12×), Di 13:15-14:45 (12×), Do 13:15-14:45 (13×), Do 11.11. 12:30-14:00
-
Dörner, Mo 09:45-11:15 (12×), Mo 11:30-13:00 (13×), Mo 13.12. 15:00-16:30, Mo 13.12. 16:45-18:15
-
Vogl, Fr 08:00-09:30 (16×)
-
Winiwarter
-
von Haeseler, Di 10:00-12:00 (12×), Do 12:00-14:00 (13×)
-
Wallnig, Fr 12:30-14:00 (15×)
-
Peschl
-
Zimmermann
-
Peschl, Di 18:30-20:30 (12×)
-
180160 SE 6 ECTS [ en ] ( GEMISCHT ) New Trends in Cognitive Science - The predictive coding approach to mind/cognitionSladky, Fr 11:30-13:00 (9×)
-
180161 SE 4 ECTS [ en ] ( DIGITAL ) MEi:CogSci Journal Club - Causal inference in cognitive neuroscience (neuroimaging and stimulation)Vasileiadi, Mi 18:00-20:30 (11×)
-
von Lilienfeld-Toal, Do 08:00-10:30 (13×)
-
Rattei, Mi 16:45-18:15 (10×)
-
Gerner, Mo 18.10. 10:00-12:00, Mi 20.10. 10:45-12:45
-
270080 VO+UE 4 ECTS [ en ] ( GEMISCHT ) Machine learning for molecules and materials - with an introduction to pythonMarquetand
-
Gonzalez Herrero
-
301060 UE 5 ECTS [ en ] ( VOR-ORT ) Praktische Übungen zur Bioinformatik mikrobieller Genome und MetagenomeRattei, Di 13:15-14:45 (12×)
-
Badelt, Mo 24.01. 09:00-12:00, Mo 24.01. 13:00-17:00, Di 25.01. 09:00-12:00, Di 25.01. 13:00-17:00, Mi 26.01. 09:00-12:00, Mi 26.01. 13:00-17:00, Do 27.01. 09:00-12:00, Do 27.01. 13:00-17:00, Fr 28.01. 09:00-12:00, Fr 28.01. 13:00-17:00
-
400028 SE 5 ECTS [ en ] ( VOR-ORT ) A critical appropriation of big data: Political economy at the crossroads of new methods - Seminar für DissertantInnen: MethodenGrigera, Mo 25.10. 09:45-16:00, Mi 27.10. 09:45-16:00, Do 28.10. 09:45-16:00, Fr 29.10. 09:45-16:00
Masterseminar (2 ECTS)
Modul MAS Masterseminar (2 ECTS)
Letzte Änderung: Fr 14.01.2022 01:03
> Informationen für Studienanfänger*innen
> Curriculum und Informationen zum Studium
> Informationen zur Lehrveranstaltungs- und Prüfungsanmeldung
> Ansicht nach Semesterplan
> Vorbereitungskurs Data Science