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Supplementary Form for the M.Sc. Computer Science

Personal Data 1



If your university is located in India, Pakistan or Bangladesh please fill in the following data:

Personal Data 2

Grading Scale
Select one of the following:

Block 1: Mathematical and theoretical skills

For more information about the possible contents in each block, please check the table below.
Please enter the modul numbers as well, if they exist.
Please check that the modules you enter here are reported as well in your transcript of records.

Modul Number Modul Name Credits Grade
Subject Topics
Mathematics
  • Linear algebra
  • Analysis
  • Differential equations
  • Vector analysis
  • Complex analysis
  • Fourier series
  • Integral calculus for functions
Statistical and stochastic fundamentals
  • Probability spaces
  • Limit theorems
  • Inductive statistics
  • Stochastic processes
Theoretical computer science
  • Predictability and complexity
  • Formal languages and automata theory
  • Algorithmics and discrete structures
  • Combinatorics
  • Design strategies
Numerical foundations
  • Floating point numbers and floating point arithmetic
  • Linear systems of equations
  • Non-linear equations
  • Interpolation and approximation
  • Ordinary differential equations

Block 2: Practical computer science, applied computer science

For more information about the possible contents in each block, please check the table below.
Please enter the modul numbers as well, if they exist.
Please check that the modules you enter here are reported as well in your transcript of records.

Modul Number Modul Name Credits Grade
Subject Topics
Programming and Software Development
  • Programming in the small
  • Object orientation
  • Use of data structures
  • Algorithms
  • Variables
  • Control and data-flow
  • Testing
  • Modeling
  • Library usage
  • Projects
Data Structures and Algorithms
  • Complexity and efficiency of algorithms
  • Lists and sorting methods
  • Trees (traversal, heap, search trees...)
  • Graphs
  • Hashing
  • Distributed algorithms; algorithm design
Technical Foundations of Computer Science
  • Circuit algebra
  • Electrical engineering
  • Components of computing systems
  • Computer organization
  • Logic multiplexer
  • Memory
  • Adder
  • Multiplier
  • ALU (Arithmetic Logic Unit)
  • Computer architecture
  • Assembler programming
  • Memory organization
  • Numerical systems; integer type, float type, floating point numbers

Block 3: Major skills

For more information about the possible contents in each block, please check the table below.
Please enter the modul numbers as well, if they exist.
Please check that the modules you enter here are reported as well in your transcript of records.

Modul Number Modul Name Credits Grade

"Autonomous Systems" combines courses in machine learning, artificial intelligence, decision making and robotics with sensors and actuators, hardware and software systems as well as parallel and distributed computing resources.

"Service Technology and Engineering" aims to provide the scientific and technological foundations of services, to train people in the design and maintenance of service-oriented platforms and solutions. This major targets application domains such as mobility, communication, as well as product and production design.

"Visual Computing" covers the entire visual computing pipeline by offering various lectures in the field of video processing, computer graphics, visualization, human machine interaction, and optimization.

Step 4