zum Inhalt springen

Elective Area

Picture Credits: © Universität zu Köln

The Elective Area (formerly Elective Subject Master I and Master II) continues to aquaint students with another (non)physical field of research and to corroborate interdisciplinary knowledge.

The module Elective Area covers advanced courses with 12 credit points in total. In general, the courses are from topics in Natural Sciences. Lectures with exercises (4+2 hpw / 9 cp) and/or courses with a different structure (e.g. seminars or practical courses) are creditable. Please note that one of the courses in the module Elective Area has to have at least 6 cp.

It is possible to choose courses from the lists below (mostly courses outside of physics) or from the list of Secondary Subjects, including the modules offered by the University of Bonn.

Courses taken in the Elective Area have to be different from the Primary and Secondary Subject.

List of Courses

see also list of Secondary Subjects

Chemistry (see the respective module handbook of the Department of Chemistry):
  • Organic Chemistry with Practical Course (MN-C-WP-OC)
  • Nuclear Chemistry with Practical Course (MN-C-WP-NC)
  • Physical Chemistry with Practical Course (MN-C-WP-PC)
Mathematics (see the respective module handbooks BSc and MSc of the Department of Mathematics):
  • Algebra and Number Theory: Algebra (BSc-M-Alg), Zahlentheorie (BSc-M-ZT), Algebraische Geometrie und kommutative Algebra (BSc-M-AGKA), Darstellungstheorie (BSc-M-DT)
  • Geometry and Toplogy: Elementare Differentialgeometrie (BSc-M-EDG), Differentialgeometrie (BSc-M-DG), Topologie (BSc-M-Top)
  • (Applied) Analysis: Funktionentheorie (BSc-M-FT), Gewöhnliche Differentialgleichungen (BSc-M-Dgl), Einführung in Partielle Differentialgleichungen(BSc-M-EPDG), Dynamische Systeme (BSc-M-DS)
  • Numerical Mathematics: Numerische Mathematik (BSc-M-Num), Einführung in die Numerische Lösung partieller Differentialgleichungen (BSc-M-END)
  • Discrete Mathematics/Optimization: Einführung in die Mathematik des Operations Research (BSc-M-OR), Einführung in die konvexe Optimierung (BSc-M-EkO)
  • Stochastics: Einführung in die Stochastik (BSc-M-St), Wahrscheinlichkeitstheorie I (BSc-M-WT1), Versicherungsmathematik (BSc-M-VM)
  • Advanced Algebra and Number Theory: Algebraische Lie-Theorie (MSc-M-ALT), Geometrische Darstellungstheorie (MSc-M-GDT), Strukturen und Darstellungen von Algebren (MSc-M-SDA), Elliptische Funktionen (MSc-M-EF)
  • Advanced Geometry and Toplogy: Differentialgeometrie II (MSc-M-DG2), Komplexe Geometrie (MSc-M-KG), Riemannsche Flächen (MSc-M-RF), Algebraische Topologie (MSc-M-AT), Differentialtopologie (MSc-M-DfT), Geometrische Topologie (MSc-M-GT)
  • Advanced Analysis: Funktionalanalysis (MSc-M-FA), Analysis auf Mannigfaltigkeiten (MSc-M-AaM)
 Informatics (see the respective module handbook of the Department of Mathematics):
  • Informatik I (BSc-M-Info1)
  • Informatik II (BSc-M-Info2)
  • Programmierpraktikum (BScM-ProgP)

A consultation regarding the needed previous knowledge is recommended. Please note that the number of participants might be limited in specific courses offered by other departments.
Courses not listed here can be approved by the examining board.

Module Description

 For further information please see the module handbook.