786 881 Doctoral programme in Engineering Sciences Computer Sciences

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

2019W-2020S (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 2020S
Seminar for PhD candidates
2.03.0
186.199 SE 2019W
Seminar for PhD candidates
2.03.0
183.614 SE 2020S
Seminar for PhD candidates
2.03.0
185.A24 SE 2020S
Seminar for PhD Students
2.03.0
185.A24 SE 2019W
Seminar for PhD Students
2.03.0
184.721 SE 2020S
Seminar for PhD Students
2.03.0
184.721 SE 2019W
Seminar for PhD Students
2.03.0
184.723 SE 2020S
Seminar for PhD Students
2.03.0
184.723 SE 2019W
Seminar for PhD Students
2.03.0
183.619 SE 2020S
Doctoral Seminar
2.03.0
183.619 SE 2019W
Doctoral Seminar
2.03.0
187.A50 SE 2020S
Seminar for PhD Students
2.03.0
187.A50 SE 2019W
Seminar for PhD Students
2.03.0
184.739 SE 2020S
Seminar for PhD Students
2.03.0
184.739 SE 2019W
Seminar for PhD Students
2.03.0
187.A72 SE 2020S
Seminar for PhD Students
2.03.0
187.A72 SE 2019W
Seminar for PhD Students
2.03.0
184.794 SE 2020S
Seminar for PhD Students
2.03.0
184.794 SE 2019W
Seminar for PhD Students
2.03.0
192.060 SE 2020S
Seminar for PhD Students
2.03.0
192.069 SE 2019W
Seminar for PhD Students
2.03.0
193.053 SE 2020S
Seminar for female PhD students
2.03.0
193.053 SE 2019W
Seminar for female PhD students
2.03.0
182.070 SE 2020S
Doctorand's seminar
2.03.0
182.070 SE 2019W
Doctorand's seminar
2.03.0
183.304 SE 2020S
Doctoral Seminar
2.03.0
183.304 SE 2019W
Doctoral Seminar
2.03.0
SE Forschungsseminar für DissertantInnen
2.03.0
188.081 SE 2020S
Research seminar for PhD students
2.03.0
188.081 SE 2019W
Research seminar for PhD students
2.03.0
188.446 SE 2020S
Research Seminar
2.03.0
188.446 SE 2019W
Research Seminar
2.03.0
183.615 SE 2020S
Research seminar for PhD students
2.03.0
186.842 SE 2020S
Researchseminar for PhD candidates
2.03.0
186.842 SE 2019W
Researchseminar for PhD candidates
2.03.0
188.423 SE 2020S
Research Seminar for Ph.D. Students
2.03.0
188.423 SE 2019W
Research Seminar for Ph.D. Students
2.03.0
188.970 SE 2020S
Scientific Seminar for PhD Students
2.03.0
188.970 SE 2019W
Scientific Seminar for PhD Students
2.03.0
183.109 SE 2020S
Research seminar for PhDs
2.03.0
183.109 SE 2019W
Research seminar for PhDs
2.03.0
SE Literaturseminar für DissertantInnen
2.03.0
188.512 SE 2020S
Literature Seminar for PhD Students
2.03.0
188.512 SE 2019W
Literature Seminar for PhD Students
2.03.0
183.616 SE 2020S
Literature Seminar for PhD Students
2.03.0
SE Seminar for PhDs
2.03.0
SE Research Seminar for Master and PhD students
2.03.0
185.A39 SE 2020S
Research Seminar for Master and PhD students
2.03.0
185.A39 SE 2019W
Research Seminar for Master and PhD students
2.03.0
PV Exclusive Tutorial for PhD Students
2.03.0
188.976 PV 2020S
Exclusive Tutorial for PhD Students
2.03.0
188.976 PV 2019W
Exclusive Tutorial for PhD Students
2.03.0
VU Open Problems in Computer Vision
2.03.0
183.292 VU 2019W
open Problems in Computer Vision
2.03.0
SE Dissertantenseminar
2.03.0
VO Introduction to Logical Methods in Computer Science
3.0
184.766 VO 2020S
Introduction to Logical Methods in Computer Science
2.03.0
184.766 VO 2019W
Introduction to Logical Methods in Computer Science
2.03.0
SE Research Seminar LogiCS
2.03.0
184.767 SE 2020S
Research Seminar LogiCS
2.03.0
184.767 SE 2019W
Research Seminar LogiCS
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 2019W
Philosophy of Science
2.03.0
VU Fundamental research methods for doctoral students
2.03.0
195.079 VU 2020S
Fundamental research methods for doctoral students
2.03.0
VU Advances and challenges in vision science
2.03.0
VU Research and Career Planning for Doctoral Students
2.03.0
195.098 VU 2019W
Research and Career Planning for Doctoral Students
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
199.091 VU 2020S
Algorithms and Complexity of Constraint Satisfaction Problems
2.03.0
VU Reachability Analysis Techniques for Hybrid Systems
2.03.0
199.088 VU 2020S
Reachability Analysis Techniques for Hybrid Systems
2.03.0
VU Resilient Computing Systems
2.03.0
199.089 VU 2020S
Resilient Computing Systems
2.03.0
VU Dynamic Epistemic Logic
2.03.0
199.090 VU 2020S
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
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.

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