Course List
Various courses are offered accross the Faculty of Mathematics and Natural Sciences that are available for the Elective Area in Mathematics/Computer Science and the Areas of Specialization within the Computational Sciences program. The course offers for each module may vary from year to year. Find below a list of courses with annotations that shall help you choosing suitable courses for your studies.
Note: Many, but not all, course titles as listed in KLIPS have the same name as the corresponding modules they belong to. Some modules offer multiple courses, in which case usually only one course needs to be passed in order to complete the module.
Elective Mathematics and Computer Science Area
Applied Analytics
Module Name
Credit Points
Course Title
Offered
Comment
Functional Analysis
9
Functional analysis
SS
Selected Topics of Applied Analysis
9
Introduction to partial differential equations
SS
Geometry in Physics
9
Geometry in Physics
variable
very theoretical
Elementary Differential Geometry
variable
more computational, in German only
Mathematics in Theoretical Physics
6
-
-
Numerical Mathematics and Scientific Computing
Module Name
Credit Points
Course Title
Offered
Comment
Einführung in die Numerische Mathematik
9
Introduction to Numerical Methods for Partial Differential Equations
WS
in German only
Numerische Mathematik
SS
in German only
Numerical Mathematics Seminar
6
Seminar on methods of mathematical modeling in life sciences
variable
Selected Topics of Numerical Mathematics
9
Performance-Engineering
variable
language of instruction: German
course material: English
Scientific Computing: Introduction to Atmospheric Flow Simulation
SS
Numerische Strömungsmechanik
WS
Introduction in Climate Modeling
variable
High Performance Computing
6
Introduction to High-Performance Computing
WS
Advanced High-Performance Computing
SS
Compute Continuum
SS
Heterogeneous and parallel computing
WS
Discrete Mathematics and mathematical Optimization
Module Name
Credit Points
Course Title
Offered
Comment
Convex Optimization
9
Convex Optimization
variable
Methods and problems in discrete mathematics
9
Methods and problems in discrete mathematics
variable
Stochastics
Module Name
Credit Points
Course Title
Offered
Comment
Probability Theory 2
9
Probability Theory II
variable
Selected Topics of Stochastics
9
Random graphs
variable
planned in SS 25, highly specialised
Probability Theory I
SS
Gaussian random fields
variable
Statistics
6
Statistics
every 3 years
planned in SS 26
Probability Theory, Stochastic Processes and Network Science
9
Probability Theory and Stochastic Pocesses for Physicists
variable
Introduction to Network Science
variable
Complex Networks and Energy Grids
variable
Information Theory and Statistical Physics
6
-
-
Algorithms
Module Name
Credit Points
Course Title
Offered
Comment
Efficient Algorithms
9
Efficient Algorithms
WS
Quantum Computing
6
Quantum Information Theory
WS
Engineering of Software intensive Systems
Module Name
Credit Points
Course Title
Offered
Comment
Empirical Software Engineering
6
-
-
Requirements Engineering
9
Requirements Engineering
SS
Artificial Intelligence and Visual Analytics
Module Name
Credit Points
Course Title
Offered
Comment
Visual Analytics
9
Visual Analytics
SS
Data and Information Science
9
Machine Learning
SS
Advanced Machine Learning
WS
Deep Learning
variable
Data Analysis and Modeling
Module Name
Credit Points
Course Title
Offered
Comment
Data Analysis and Fourier Transform
9
-
-
Inverse Modelling
6
Inverse Modelling (IM) - Lecture
SS
Further Methods
Module Name
Credit Points
Course Title
Offered
Comment
Programming in a Scientific Environment with C++
9
-
SS
block course (6 weeks), sign up with lecturer M. Hanrath, offered when enough participants
Qualitative Methods in Theoretical Physics
9
-
-
Seminars
Module Name
Credit Points
Course Title
Offered
Comment
Mathematics Seminar
6
various
variable
Computer Science Seminar
6
various
variable
Other
Module Name
Credit Points
Course Title
Offered
Comment
Other
Introduction to Statistical Learning
Objektorientierte Programmierung in German only
Areas of Specialization
Computational Astro- and Space Physics
Module Name
Credit Points
Course Title
Offered
Comment
Advanced Astrophysics
9
Advanced Astrophysics
WS
compulsory!
Space Physics
6
Space Physics (GEOSPACE) - Lecture
SS
compulsory!
Geophysics of the Solar System
6
Geophysics of the Solar System (GEOSOSYS) - Lecture
WS
Computational Astrophysics
6
Computational Astrophysics
SS
Computational Many-Body Physics
6
Computational Many-Body Physics
WS
also offered in SS 24
Hydrodynamics - from water droplets to Supernovae
6
Hydrodynamics
WS
Interstellar Medium and Star Formation
9
Physics of the Interstellar Medium
variable
Star Formation
variable
Advanced Seminar on Current Topics of Molecular and Astrophysics
3
various
variable
Computational Biology
Module Name
Credit Points
Course Title
Offered
Comment
Computational Biology
6
Lecture Computational Biology (MN-B-C 1)
WS
compulsory!
Practical in Computational Biology
6
Seminar Computational Biology (MN-B-C 2)
WS
compulsory!
Ecology, Evolution and Environment - Theory and Methods
6
Lecture Ecology, Evolution and Environment (MN-B-E 1)
WS
Molecular Plant and Microbial Sciences - Lecture
6
Lecture Molecular Plant and Microbial Sciences (MN-B-P 1)
WS
Essentials in Neuroscience - Lectures
6
Lecture Neuroscience (MN-B-N 1)
WS
Principles of Molecular Genetics, Development and Aging
6
Lecture Principles of Molecular Genetics, Development and Aging (MN-B-GA 1)
WS
Statistical Genetics and Epidemiology
12
Statistical Genetics, Epidemiology and Forensics
SS
block course, 2. half of the term
Population Genetics and Molecular Evolution
12
Population Genetics and Molecular Evolution
SS
block course, 1. half of the term
Computational Neuroscience
12
Computational Neuroscience
SS
block course, 2. half of the term
Advanced Bioinformatics
12
-
-
Other variable Physics of Biological Systems
WS
6 CP Data Analysis in the life sciences
variable 6 CP,
block course, to register contact lecturer G. Ansmann
Earth System Sciences
Module Name
Credit Points
Course Title
Offered
Comment
Experimentelle und numerische Mineralogie
9
Spektroskopische Methoden
variable
Aktuelle Themen der experimentellen und numerischen Mineralogie
variable
Direct Current and Electromagnetic Exploration Methods
6
Direct Current and Electromagnetic Exploration Methods (GEOEEM) - Lecture
WS
Advanced Geophysical Field Course
6
Advanced Geophysical Field Course (GEOAFC)
variable
Seismology
6
Seismology (GEOSEIS) - Lecture
WS
Geophysics of the Solar System
6
Geophysics of the Solar System (GEOSOSYS) - Lecture
WS
Atmospheric Boundary Layer
6
Atmospheric Boundary Layer (METABL) - Lecture
SS
Clouds and Participation
6
Clouds and Precipitation (METCLOUD) - Lecture
WS
Physical Climatology
6
Physical Climatology (METCLIMATE) - Lecture
SS
Atmospheric Dynamics and Modelling
6
Atmospheric Dynamics and Modelling (METADM) - Lecture
SS
Atmospheric Radiation
6
Atmospheric Radiation (METRAD) - Lecture
SS
Physics of the Atmosphere
6
Physics of the Atmosphere (METPHA) - Lecture
SS
Atmospheric Chemistry
6
Atmospheric Chemistry (METCHEM) - Lecture
SS
Advanced Remote Sensing
6
Advanced Remote Sensing (METRS) - Lecture
WS
Other Fundamentals of Earth System data processing
variable
6 CP
Advanced Earth System data processing variable 6 CP
Theoretical Chemistry
Module Name
Credit Points
Course Title
Offered
Comment
Advanced Theoretical Chemistry 1
6
Advanced Theoretical Chemistry (MN-C-A-TC)
WS
compulsory!
Advanced Theoretical Chemistry 2
6
Advanced Theoretical Chemistry (MN-C-A-TC)
SS
compulsory!
Advanced Inorganic Chemistry
6
Advanced Inorganic and Materials Chemistry (MN-C-A-AC)
variable
Advanced Organic Chemistry
6
Advanced Organic Chemistry (MN-C-A-OC)
variable
Advanced Physical Chemistry
6
Advanced Physical Chemistry (MN-C-A-PC)
variable
Advanced Biochemistry
6
Advanced Biochemistry (MN-C-A-BC)
variable
Theoretical Condensed Matter Physics
Module Name
Credit Points
Course Title
Offered
Comment
Advanced Quantum Mechanics
9
Advanced Quantum Mechanics
SS
compulsory!
Computational Many-Body Physics
6
Computational Many-Body Physics
WS
compulsory!
Advanced Statistical Physics
9
Advanced Statistical Physics
WS
Hydrodynamics - from water droplets to Supernovae
6
Hydrodynamics
variable
Quantum Field Theory I
9
Quantum Field Theory I
WS
Quantum Field Theory II
9
Quantum Field Theory II
SS
Solid State Physics
6
Solid State Theory
variable
Supplementary Module
Eligible Courses
For this module you are allowed to choose courses freely from any of the Specialisation Areas and the Mathematics and Computer Science area, or choose from a wide range of courses in other fields such as Digital Humanities, Entrepreneurship and others that suit your personal curriculum.
Which courses are eligible for the Supplementary Module?
Find below a non-exhaustive list of courses outside the Computational Sciences curriculum that have been accepted as supplementary, or contact the study program coordinator if in doubt. Please note that some courses may be less than 6 CP, in which case you will need to complete more than one course.
Module Name
Credit Points
Course Title
Offered
Comment
Supplementary Module
6
Accelerate your career! Entrepreneurship, Strategy and Leadership for MINT students
WS
3 CP,
offered by Excellence Startup Centre Gateway at UoC
Develop your own idea into a business model! Agile management techniques for MINT students
SS
3 CP,
offered by Excellence Startup Centre Gateway at UoC
Seminar on insurance mathematics variable
General Relativity
WS
Introduction to Geographic Information Systems (GIS)
variable
3 CP
Research practical
contact the study program coordinator
Long-Term Planning
Please note that these courses are offered and coordinated at different departments accross the Faculty of Mathematics and Natural Science. Therefore, the course offers as stated in the module handbook are not always up-to-date with the current course availabilities. In order to plan your curriculum as Computational Sciences students, please refer to the course offer lists for each area, that are updated regularly:
Please note: the course availabilities on these lists are not binding and only meant as a guide for your long-term planning. Always double-check the course catalogue in KLIPS2.0!
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For Students
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