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 2019W
2.03.0
183.614 SE 2020S
2.03.0
185.A24 SE 2019W
2.03.0
184.721 SE 2019W
2.03.0
184.723 SE 2019W
2.03.0
183.619 SE 2019W
2.03.0
187.A50 SE 2019W
2.03.0
184.739 SE 2019W
2.03.0
187.A72 SE 2019W
2.03.0
184.794 SE 2020S
2.03.0
184.794 SE 2019W
2.03.0
192.069 SE 2019W
2.03.0
2.03.0
2.03.0
182.070 SE 2019W
2.03.0
183.304 SE 2020S
2.03.0
183.304 SE 2019W
2.03.0
SE Forschungsseminar für DissertantInnen
2.03.0
2.03.0
188.446 SE 2019W
2.03.0
2.03.0
2.03.0
2.03.0
2.03.0
183.109 SE 2019W
2.03.0
SE Literaturseminar für DissertantInnen
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
VU Open Problems in Computer Vision
2.03.0
2.03.0
SE Dissertantenseminar
2.03.0
VO Introduction to Logical Methods in Computer Science
3.0
2.03.0
SE Research Seminar LogiCS
2.03.0
184.767 SE 2019W
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
2.03.0
VU 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
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 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