786 881 Doctoral programme in Engineering Sciences Computer Sciences

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

2020W-2021S (2007U)

TitlePrecon.HoursECTS
Doctoral programme in Engineering Sciences Computer Sciences
180.0
Scientific Emphasis
18.0
Wissenschaftliche Vertiefung
SE Seminar für DissertantInnen
2.03.0
186.199 SE 2021S
2.03.0
186.199 SE 2020W
2.03.0
183.614 SE 2021S
2.03.0
185.A24 SE 2021S
2.03.0
185.A24 SE 2020W
2.03.0
184.721 SE 2021S
2.03.0
184.721 SE 2020W
2.03.0
184.723 SE 2021S
2.03.0
184.723 SE 2020W
2.03.0
183.619 SE 2021S
2.03.0
183.619 SE 2020W
2.03.0
187.A50 SE 2021S
2.03.0
187.A50 SE 2020W
2.03.0
184.739 SE 2021S
2.03.0
184.739 SE 2020W
2.03.0
187.A72 SE 2021S
2.03.0
187.A72 SE 2020W
2.03.0
184.794 SE 2021S
2.03.0
184.794 SE 2020W
2.03.0
192.060 SE 2021S
2.03.0
192.069 SE 2020W
2.03.0
2.03.0
182.070 SE 2021S
2.03.0
182.070 SE 2020W
2.03.0
183.304 SE 2021S
2.03.0
183.304 SE 2020W
2.03.0
193.083 SE 2020W
2.03.0
194.110 SE 2021S
2.03.0
SE Forschungsseminar für DissertantInnen
2.03.0
2.03.0
2.03.0
188.446 SE 2021S
2.03.0
188.446 SE 2020W
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
183.109 SE 2021S
2.03.0
183.109 SE 2020W
2.03.0
SE Literaturseminar für DissertantInnen
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
2.03.0
2.03.0
VU Open Problems in Computer Vision
2.03.0
183.292 VU 2020W
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 2021S
2.03.0
184.767 SE 2020W
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 2020W
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 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
2.03.0
Thesis Dissertation
162.0
Final exam Viva Voce Examination
Responsible dean of academic affairs
For questions regarding the curriculum please contact the responsible dean of academic affairs.

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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