TU Wien Informatics Doctoral School

  • Show all courses of the academic year of which the selected semester is part of.

2023W-2024S (2011U)

TitlePrecon.HoursECTS
TU Wien Informatics Doctoral School
Fundamental Courses
20.0
VU Philosophy of Science
3.0
195.080 VU 2023W
Philosophy of Science
2.03.0
VU Innovation
3.0
VU Research Methods in Computer Science
3.0
VU Fundamental research methods for doctoral students
2.03.0
195.079 VU 2024S
Fundamental research methods for doctoral students
2.03.0
SE Research and Career Planning for Doctoral Students
2.03.0
VU Research and Career Planning for Doctoral Students
2.03.0
195.098 VU 2023W
Research and Career Planning for Doctoral Students
2.03.0
VU Being a Researcher
2.03.0
VU From surviving to thriving: crafting your good professional life
2.03.0
199.096 VU 2023W
From surviving to thriving: crafting your good professional life
2.03.0
Area Courses
21.0
VU PhD Primary Area Computer Engineering Introduction
3.0
VU Foundations of Data and Knowledge Systems
3.0
VU Introduction to Media Informatics and Visual Computing at VUT
3.0
VO Foundations of Business Informatics
3.0
VU Advanced Topics in Service-oriented and Cloud Computing
2.03.0
VU Model Checking
2.03.0
VU Discrete Mathematics and Probability
3.0
VU Formal Methods
3.0
VU Linear Algebra
3.0
VU Algorithms
3.0
VU Shape from function methods
3.0
VU Differential Equations
3.0
VU Computational Geometry and Topology
3.0
VU Computational Complexity
3.0
VU Essence of Cloud Computing
VU Hybrid Systems
2.03.0
VU Hybrid Systems (Supplement)
2.03.0
VU Media Understanding
2.03.0
VU Advanced Concepts in Distributed Systems Research
2.03.0
VU Abstract Interpretation: from theory to applications
2.03.0
VU Generative Software Development
3.0
VU Computational photography and computational imaging
2.03.0
VU Future trends in imaging: mobile, augmented, pervasive and social
2.03.0
VU Machine Learning
3.0
VU Recommender Systems
2.03.0
VU Description Logics, Ontology-based Data Access, and Reasoning
2.03.0
VU Design and Analysis of Quasi-Experiments for Causal Inference
2.03.0
VU Advanced Topics in Web of Data
2.03.0
VU Model Predictive Control
VU Computational Complexity
VU Geometry & Topology
VU Automated Scheduling and Timetabling
2.03.0
VU Data Warehousing and Business Intelligence
2.03.0
VU Introduction to Data Mining: Clustering and Outlier Detection
3.0
VU Fundamental Underpinnings of the Cloud
2.03.0
VU Gröbner Bases: A General Methodology for Many-Variable Non-linear Systems
3.0
VU Automata-theoretic methods for infinite-state verification
2.03.0
VU Social Network Analysis
2.03.0
VU Graph Partitioning and Graph Clustering in Theory and Practice
2.03.0
VU Domain and Requirements: Science & Engineering
2.03.0
VU Model Theoretic Methods in Computer Science: Selected Topics
2.03.0
VU Outlier Detection
2.03.0
VU Bayesian Machine Learning
2.03.0
VU Constructive Reasoning
2.03.0
VU Advances and challenges in vision science
2.03.0
VU Algorithm Design in Different Models of Computation
2.03.0
VU Metamodeling
2.03.0
VU From Web Data to Network Analysis
2.03.0
VU Concurrency Theory
2.03.0
VU Healthcare in domestic settings, a CSCW perspective
2.03.0
VU Quantitative evaluation of concurrent systems with stochastic temporal parameters
2.03.0
VU Engineering Self-Adaptive Systems
2.03.0
VU ProWriting - Effective Research Project Proposal Writing for Public Funding: Write up your research ideas
2.03.0
195.109 VU 2024S
ProWriting -- Effective Research Project Proposal Writing for Public Funding
2.03.0
VU DataFlow SuperComputing for BigData Analytics
2.03.0
VU Real Virtuality: Authentic virtual experiences
2.03.0
VU Design, Creativity, Learning, and Human-Centered Computing - Exploring Foundations and Themes for the Future of the Digital Age
2.03.0
VU Machine Learning Security
2.03.0
VU Talent Engineering - From Purpose to Impact
2.03.0
VU Memory Systems and Memory-Centric Computing Systems: Fundamentals and Recent Research
2.03.0
VU Recommender Systems Team Project
2.03.0
VU Deontic Logic for Normative Reasoning
2.03.0
VU Reachability Analysis Techniques for Hybrid Systems
2.03.0
VU Resilient Computing Systems
2.03.0
VU Dynamic Epistemic Logic
2.03.0
VU Algorithms and Complexity of Constraint Satisfaction Problems
2.03.0
VU Computer vision and image analysis of art
2.03.0
VU Introduction to deontic logic: challenges, formal systems, applications
2.03.0
VU Defeasible Reasoning
2.03.0
VU Strategic policy and technology challenges in the digital world, with a focus on the European Union
2.03.0
VU Design of Asynchronous Circuits and Systems
2.03.0
VU Design-for-Trust in VLSI Circuits
2.03.0
VU Software Design for Cyber-Physical Systems
2.03.0
VU Verification of Probabilistic Programs
2.03.0
VU AI Policies: The Evolving Legal Domain
2.03.0
VU AI Policies: The Evolving Legal Domain
2.03.0
VU Software Testing: From Basic Concepts to Advanced Topics
2.03.0
VU Domain Science and Engineering
2.03.0
VU Geometric Spanner Networks
2.03.0
VU AI Ethics and Governance
2.03.0
VU Non-monotonic Extension of Temporal Logic
2.03.0
VU Digital Ethics and the Connected World
2.03.0
199.108 VU 2024S
Digital Ethics and the Connected World
2.03.0
VU Eight Lessons on Ethical AI
2.03.0
VU Introduction to Responsible AI
2.03.0
VU Designing Differently, Imagining Collaboratively: The Need for Socio-Technical Alternatives
2.03.0
VU On and Off the Blockchain
2.03.0
199.013 VU 2023W
On and Off the Blockchain canceled
2.03.0
VU Program Analysis
2.03.0
199.014 VU 2023W
Program Analysis
2.03.0
VU Democracy in the Digital Era
2.03.0
199.015 VU 2023W
Democracy in the Digital Era
2.03.0
VU Algorithms for Graph Analysis
2.03.0
199.016 VU 2023W
Algorithms for Graph Analysis canceled
2.03.0
VU Artificial Intelligence in Computer Security
2.03.0
199.017 VU 2024S
Artificial Intelligence in Computer Security
2.03.0
VU Experimentation in the digital world
2.03.0
199.018 VU 2024S
Experimentation in the digital world
2.03.0
VU System Modeling in Informatics and Business Informatics: Motivation, Principles, Case Studies
2.03.0
199.019 VU 2024S
System Modeling in Informatics and Business Informatics: Motivation, Principles, Case Studies
2.03.0
External courses
2.03.0
VU Summer/Winter School for PhDs
2.03.0

Legend

Courses belong to the introductory and orientation phase ("Studieneingangs- und Orientierungsphase")
Courses belong to the introductory interview ("Studieneingangsgespräch")
Courses require the completion of the introductory and orientation phase
Courses require the completion of the introductory interview STEG