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Catalog Elective Courses - Computer Science

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

2018W-2019S (2010U)

TitlePrecon.HoursECTS
Catalog Elective Courses - Computer Science
Freie Wahlfächer
VU Pilots in Mobile Interaction: User-centered Interaction Research and Evaluation
2.03.0
2.03.0
VU Robotik für RoboCup
6.0
KO Reflections on ICTs and Society
2.02.0
VU Science of Information 1: Transdisciplinary Foundations of Informatics
2.03.0
PR Practical course in IT-Security
4.06.0
SE Formal Semantics of natural languages
2.03.0
VO Selected Topics of Computer Engineering
2.03.0
2.03.0
SE Seminar for Master Students
2.02.0
184.795 SE 2019S
2.02.0
184.795 SE 2018W
2.02.0
SE Computer Vision Seminar for Master students
2.02.0
2.02.0
VU Engineering Software, Systems and IT-Infrastructure using ID for Objects and Devices: RFID, Smartcards, NFC and Mobile Phones
2.03.0
VU Advanced Services Engineering
2.03.0
SE Research Seminar for Master Students
2.03.0
SE Research Seminar for Master Students
2.03.0
2.03.0
2.03.0
VO Finanzmärkte, Finanzintermediation und Kapitalanlage
2.53.5
2.53.5
VU Methodical, industrial Software-Engineering using the Haskell functional language
2.03.0
2.03.0
VU IT Governance
2.03.0
188.978 VU 2018W
IT Governance canceled
2.03.0
VU Current Trends in Computer Science
1.01.5
1.01.5
1.01.5
VU Strategy Game Programming
2.03.0
188.981 VU 2018W
2.03.0
VU Medienanalyse und Medienreflexion
2.03.0
EX Exkursion
2.03.0
VU Theoretical Computer Science and Logic for CI
4.06.0
SE Theory and Praxis for Evaluating Innovative User Interfaces
2.03.0
2.03.0
VU Brückenkurs Programmierung für Studienanfängerinnen
2.0
VU Mobile (App) Software Engineering
2.03.0
2.03.0
VU Runtime Verification
3.0
VU Runtime Verification
2.03.0
VU 2D and 3D Image Registration
2.03.0
SE Critical Algorithm Studies
2.03.0
184.773 SE 2019S
2.03.0
VU Programming for first-year students
2.00.0
2.00.0
VU Python!
3.0
VU VU Metaheuristics and Hybrid Methods for Combinatorial Optimization
4.0
VU Metaheuristics and Hybrid Methods for Combinatorial Optimization
4.0
VU Applied Machine Learning in Cyber-Physical Systems
3.0
VU Humanities, Cultural Objects and Natural Sciences: Introduction to Methods in Computer Vison and Material Analysis for Paleography
2.03.0
VU Humanities, Cultural Assets, and Technical Sciences: Introduction to Computer Science and Material Analysis in Paleography
3.05.0
VU Introduction to Computer Algebra
2.03.0
2.03.0
PR Mobile (App) Prototyping and Evaluation
4.06.0
4.06.0
VU Introduction into Connected Car IT
2.03.0
VU Introduction into Connected Car IT
2.03.0
2.03.0
VU Advanded Aspects of Connected Car IT
2.03.0
2.03.0
PR Cases in Engineering Connected Car IT Systems
4.06.0
4.06.0
4.06.0
VU P2
4.0
VU Experiment Design for Data Science
2.03.0
2.03.0
VU Advanced Programming Paradigms
2.03.0
VU Data-oriented Programming Paradigm
2.03.0
VU Data-oriented Programming Paradigm
2.03.0
VO Data-oriented Programming Paradigms
2.03.0
2.03.0
VO Interdisciplinary Lecture Series on Data Science
1.01.5
IP Interdisciplinary Project in Data Science
4.06.0
UE Formal Methods in Computer Science
2.03.0
2.03.0
VU Cryptocurrencies
3.0
VU Datenmodellierung 2
2.03.0
184.790 VU 2018W
2.03.0
UE Einführung in Grundlagen des Programmierens für Studierende gemeinsam mit Geflüchteten
6.06.0
UE Introduction to the Fundamentals of Programming for Students and Refugees
6.06.0
6.06.0
6.06.0
VU Current Research in Augmented and Virtual Reality
2.03.0
UE Ruby on Rails Business Programming
2.03.0
2.03.0
PR Virtual Reality Maker Lab
6.06.0
188.520 PR 2019S
6.06.0
VU Visual Data Science
2.03.0
186.868 VU 2018W
2.03.0
VU Smart Contracts
2.03.0
UE IT-Projects for Youth associated LVA 187.A97
2.01.5
VU Formal Methods for Security and Privacy
4.06.0
VU Formal Methods for Security and Privacy
4.06.0
4.06.0
VO Bachelor with Honors - Courses
7.010.0
VU Tutorial on Introduction to Modern Cryptography
2.03.0
2.03.0
VU Deep Learning
4.0
VU Design, Creativity, Learning, and Human-Centered Computing - Exploring Foundations and Themes for the Future of the Digital Age
2.03.0
2.03.0
VU Machine Learning Security
2.03.0
199.082 VU 2018W
2.03.0
VU Privacy Enhancing Technologies
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Courses require the completion of the introductory and orientation phase
2.03.0
2.03.0
PR Bachelor with Honors Internship Project
4.06.0
4.06.0
4.06.0
VU Summer/Winter School for Bachelor with Honors
2.03.0
2.03.0
2.03.0
VU State-of-the-art Engineering Project Management via Adjusted Pragmatic Tool-Sets
2.03.0
VU State-of-the-Art Engineering Project Management via Adjusted Pragmatic Tool-Sets
2.03.0
2.03.0
2.03.0
VU Crypto Asset Analytics
2.03.0
193.045 VU 2019S
2.03.0
VU Crypto Asset Analytics
2.03.0
192.080 VU 2019S
2.03.0
VU Privacy Enhancing Cryptography
4.06.0
4.06.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
2.03.0
VU Epistemic Logic and Communication
2.03.0
VU Selected Topics of Digital Forensics I
2.03.0
2.03.0
VU Optimizing large IT Legacy - Learning from (still) operative Old IT-Systems and their (non-)replacement
2.03.0
2.03.0
VU Technical and Organizational Mechanisms of Payments
2.03.0
2.03.0
UE Introduction to Security
2.03.0
192.082 UE 2019S
2.03.0
VU Domain-Specific Lectures in Data Science
2.03.0
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