Universität Wien

Master Informatik (921 [1] - Version 2016) - Data Science - auslaufend

Grundlagen (12 ECTS)

PAP Parallel Architectures and Programming Models (6 ECTS)

ASE Advanced Software Engineering (6 ECTS)

Praktika (18 ECTS)

P1 Praktikum 1 (6 ECTS)

P2 Praktikum 2 (12 ECTS)

Wissenschaftliches Arbeiten (6 ECTS)

MSE Wissenschaftliches Arbeiten (6 ECTS)

Parallel Computing (6 ECTS)

PC Parallel Computing (6 ECTS)

CC Cloud Computing (6 ECTS)

DPA Distributed and Parallel Algorithms (6 ECTS)

DSE Distributed Systems Engineering (6 ECTS)

HPC High Performance Computing (6 ECTS)

POP Program Optimisations and Runtime Systems (6 ECTS)

SDM Scientific Data Management (6 ECTS)

AT-PC Advanced Topics in Parallel Computing (6 ECTS)

Algorithms (12 ECTS)

CNA Combinatorial and Numerical Algorithms (6 ECTS)

AAL Advanced Algorithms (6 ECTS)

DPA Distributed and Parallel Algorithms (6 ECTS)

HPA Numerical High Performance Algorithms (6 ECTS)

STL Software Tools and Libraries for Scientific Computing (6 ECTS)

AT-AL Advanced Topics in Algorithms (6 ECTS)

Data Analysis (24 ECTS)

FDA Foundations of Data Analysis (6 ECTS)

CO Computational Optimisation (6 ECTS)

DM Data Mining (6 ECTS)

NLP Natural Language Processing (6 ECTS)

VIS Visualisation and Visual Data Analysis (6 ECTS)

AT-DA Advanced Topics in Data Analysis (6 ECTS)

Anwendungsfach Data Science (12 ECTS)

DSA Anwendungsfach Data Science (12 ECTS)

Letzte Änderung: Fr 30.06.2023 00:53