Courses and Recommended Study Tracks – University of Copenhagen

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Department of Computer Science DIKU > Research > The Image Section > Courses and Recommende...

Courses on MSc Level by the Image Section

The Image Section offers courses in image analysis & processing, computer vision, computer simulation, numerical optimization, information retrieval, and machine learning.

We suggest two study tracks within the Computer Science MSc for specializing in Data Science or Image Analysis.

Currently, the following courses are offered/planned, starting with the academic year 2015/2016:

  • Signal and Image Processing (SIP)
  • Machine Learning (ML)
  • Advanced Topics in Image Analysis (ATIA)
  • Advanced Topics in Machine Learning (ATML)
  • Large Scale Data Analysis (LSDA)
  • Computer Game Development Project (DADIU)
  • Numerical Optimization (NO)
  • Computational methods in simulation (CMiS)
  • Medical Image Analysis (MIA)
  • Vision and image processing (VIP)
  • Applied Programming (APP)
  • Information Retrieval (IR)
  • Web Science (WS)
  • Numerisk løsning af differentialligninger (NumDiff)
  • Kursus i Sundhedsteknologi
  • Data Analysis Methods (DAM)
  • Projektkursus: Naturvidenskab og it (PNIT)

Recommended Study Tracks

In the follwing, we give suggestions how to combine the courses offered at the Department of Compuer Science if you want to specialize on Data Science (including Machine Learning and Information Retrieval) or Image Analysis and Computer Vision. These suggestions refer to the new Computer Science MSc curriculum, starting with the academic year 2015/2016.

Data Science

Year 1

Block 1 Block 2 Block 3 Block 4

Advanced 

Programming

Advanced

Computer Systems 

Numerical

Optimization

Large-scale Data Analysis

or

Randomized

Algorithms

Advanced Algorithms

and Data Structures

Machine

Learning

Web Science

or

Signal and Image Processing (SIP)

Information

Retrieval

Year 2

Block 1 Block 2 Block 3 Block 4

Programming Massively

Parallel Hardware

or

Visualization

MSc

Data Science Project

MSc Thesis

Advanced Topics in

Machine Learning

Advanced Topics in

Image Analysis

(requires SIP)

or

Interactive Data Exploration

Image Analysis, Computer Vision, and Computational Simulation

Year 1

Block 1 Block 2 Block 3 Block 4

Advanced 

Programming

Advanved

Computer Systems 

Numerical

Optimization

MSc Project

or

Randomized Algorithms

Advanced Algorithms

and Data Structures

Machine

Learning

Signal & Image

Processing

MSc Project

or

Computational methods

in simulation

Year 2

Block 1 Block 2 Block 3 Block 4

Medical Image

Analysis

Advanced Topics in 

Image Analysis

MSc Thesis

Advanced Topics in

Machine Learning

Vision and Image

Processing

or

MSc Project