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786 881 Doctoral programme in Engineering Sciences Computer Sciences

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

2022W-2023S (2007U)

Without semester recommendation

TitlePrecon.HoursECTS
SE Seminar für DissertantInnen
2.03.0
186.199 SE 2023S
2.03.0
186.199 SE 2022W
2.03.0
183.614 SE 2023S
2.03.0
185.A24 SE 2023S
2.03.0
185.A24 SE 2022W
2.03.0
184.721 SE 2023S
2.03.0
184.721 SE 2022W
2.03.0
184.723 SE 2023S
2.03.0
184.723 SE 2022W
2.03.0
183.619 SE 2023S
2.03.0
183.619 SE 2022W
2.03.0
187.A50 SE 2023S
2.03.0
187.A50 SE 2022W
2.03.0
184.739 SE 2022W
2.03.0
187.A72 SE 2023S
2.03.0
187.A72 SE 2022W
2.03.0
184.794 SE 2023S
2.03.0
184.794 SE 2022W
2.03.0
192.060 SE 2023S
2.03.0
192.060 SE 2022W
2.03.0
182.070 SE 2023S
2.03.0
182.070 SE 2022W
2.03.0
183.304 SE 2023S
2.03.0
183.304 SE 2022W
2.03.0
193.083 SE 2023S
2.03.0
193.083 SE 2022W
2.03.0
194.110 SE 2023S
2.03.0
194.110 SE 2022W
2.03.0
SE Forschungsseminar für DissertantInnen
2.03.0
2.03.0
2.03.0
188.446 SE 2023S
2.03.0
188.446 SE 2022W
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
SE Literaturseminar für DissertantInnen
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
SE Seminar for PhDs
2.03.0
SE Research Seminar for Master and PhD students
2.03.0
2.03.0
2.03.0
PV Exclusive Tutorial for PhD Students
2.03.0
188.976 PV 2023S
2.03.0
2.03.0
VU Open Problems in Computer Vision
2.03.0
SE Dissertantenseminar
2.03.0
VO Introduction to Logical Methods in Computer Science
3.0
2.03.0
2.03.0
SE Research Seminar LogiCS
2.03.0
184.767 SE 2023S
2.03.0
184.767 SE 2022W
2.03.0
VU Advanced Topics in Service-Oriented Computing and Cloud Computing
2.03.0
SE Research and Career Planning for Doctoral Students
2.03.0
VU Graph Partitioning and Graph Clustering in Theory and Practice
2.03.0
VU Philosophie of Science
2.03.0
195.080 VU 2022W
2.03.0
VU Fundamental research methods for doctoral students
2.03.0
2.03.0
VU Advances and challenges in vision science
2.03.0
VU Research and Career Planning for Doctoral Students
2.03.0
2.03.0
VU Engineering Self-Adaptive Systems
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
2.03.0
VU Algorithms and Complexity of Constraint Satisfaction Problems
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 Design of Asynchronous Circuits and Systems
2.03.0
VU Software Testing: From Basic Concepts to Advanced Topics
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 Defeasible Reasoning
2.03.0
VU Design-for-Trust in VLSI Circuits
2.03.0
VU Advanced Topics in Web of Data
2.03.0
VU Domain and Requirements: Science & Engineering
2.03.0
VU Selected Topics in Information Security
3.06.0
3.06.0
VU Introduction to deontic logic: challenges, formal systems, applications
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