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Masterstudium Data Science

↑ Informatik

Links	Ehemalige LVAs, Studienplan
VoWi-Stats	14 Pflicht-LVAs 35 Wahl-LVAs

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LVAs nach Pflichtmodulen

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• Applied Deep Learning VU (Eidenberger)
• Graph Drawing Algorithms VU (Nöllenburg)
• Strahlenphysik und gesellschaftliche Aspekte des Strahlenschutzes VO (Maringer)

BDHPC/FD - Big Data and High Performance Computing - Foundations

• Data-intensive Computing VU (Knees)
• Datenbanksysteme Vertiefung VU (Pichler)

DSA - Domain-Specific Aspects of Data Science

• Interdisciplinary Lecture Series for on Data Science VU (Hanbury)

FDS/CO - Fundamentals of Data Science - Core

• Data Acquisition and Survey Methods VU (Klaus Nordhausen)
• Data Stewardship VO (Rauber)

FDS/FD - Fundamentals of Data Science - Foundations

• AKSTA Statistical Computing VU (Filzmoser)
• Datenorientierte Programmierparadigmen VU (Hanbury)
• Experiment Design for Data Science VU (Knees)

MLS/CO - Machine Learning and Statistics - Core

• Statistische Simulation und computerintensive Methoden VU (Nordhausen)

MLS/FD - Machine Learning and Statistics - Foundations

• Advanced Methods for Regression and Classification VU (Filzmoser)
• Machine Learning VU (Mayer, Musliu)

LVAs nach Wahlmodulen

BDHPC/EX - Big Data and High Performance Computing - Extension

• Datenbanktheorie VU (Pichler)
• Effiziente Programme VU (Ertl)
• GPU Architectures and Programming VU (Bartocci)
• Heuristic Optimization Techniques VU (Raidl)
• High Performance Computing VU (Träff)

FDS/EX - Fundamentals of Data Science - Extension

• Data Stewardship UE (Rauber)
• Digital Humanism VU (Werthner)
• Organizational Aspects of IT-Security VU (Weippl)
• Software Security VU (Weippl)
• User Research Methoden PR (Fitzpatrick)
• User Research Methoden VU (Fitzpatrick)
• User Research Methods VU (Frauenberger)

Freie Wahlfächer

• Capture The Flag SE (Maffei)

Freie Wahlfächer - Informatik

• TechTalks - Industrielle digitale Technologien Stand 2020 PV (Grechenig)

MLS/EX - Machine Learning and Statistics - Extension

• Business Intelligence VU (Tjoa)
• Intelligent Audio and Music Analysis VU (Knees)
• Modeling and Simulation VU (Bicher)
• Multivariate Statistik VO (Filzmoser)
• Problem Solving and Search in AI VU (Musliu)
• Selbstorganisierende Systeme VU (Rauber)
• Social Network Analysis VU (Neidhardt)

VAST/CO - Visual Analytics and Semantic Technologies - Core

• Advanced Information Retrieval VU (Rauber)
• Design and Evaluation of Visualisations UE (Pohl)

VAST/EX - Visual Analytics and Semantic Technologies - Extension

• Deductive Databases VO (Simkus)
• Description Logics and Ontologies VU (Ortiz de la Fuente)
• Echtzeit-Visualisierung VU (Purgathofer)
• Knowledge-based Systems VU (Egly, Eiter, Tompits)
• Semi-Automatic Information and Knowledge Systems VU (Sabou, Lanzenberger)
• Verarbeitung deklarativen Wissens VO (Egly)
• Visual Data Science VU (Schmidt)
• Visualisierung 2 VU (Gröller)

VAST/FD - Visual Analytics and Semantic Technologies - Foundations

• Cognitive Foundations of Visualization VO (Pohl)
• Einführung in Semantic Systems VU (Tjoa)
• Informationsvisualisierung VO (Miksch)
• Psychologische Grundlagen der Visualisierung VO (Pohl)