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Master's in Grid Computing

Full-time - Day-time class

Educational institute
Master School of Informatics
Credits
120
Duration
Two years
Instruction language
English
Information
W. Remijn MSc
Postbus 94214
+31205256028
The programme
Schedule
MSc Grid Computing - Academic calender and enrollment for courses - Curriculum Grid Computing - Admission to the MSc Grid Computing - Goals and objectives of the MSc Grid Computing

The programme

Curriculum Grid Computing

Track Computational Science

The track Computational Science takes two academic years (120 EC), which awards a Master of Science degree in Grid Computing. Students can start in semester 1 (September) or semester 2 (February).
Computational Science focuses on systems for quantitative modelling and simulation of complex dynamic systems. These are found in, e.g., physics, chemistry, biology, medicine and engineering.

Key words: modeling and simulation, scientific computing, cellular automata, mesoscopic modelling, parallel algorithms, scientific visualisation and virtual reality.

The track Computational Science consists of the following elements:

  • Obligatory courses: 48 EC
  • Constrained Choice: 12 EC
  • Free Choice:12 EC
    Free choice enables the student to attend master courses not already mentioned as constraint choice. The free choice can also be used to work on deficiencies. In this case the free choice is not completely free. The track coordinator may decide to limit the free choice and suggest a constraint choice or obligatory courses.
  • Graduation Research: 48 EC            

Obligatory courses Computational Science
Semester 1 
    Year 1:
    semester 1a:
    Introduction to Computational Science (6 EC)
    Numerical Algorithms (6 EC)
    semester 1b:
    Stochastic Simulation (6 EC)
    semester 1c:
    Concurrent Programming (6 EC)
    Year 2
    semester 1a:
    Scientific Visualization and Virtual Reality (6 EC)
    semester 1 and 2:
    Graduation Research -Computational Science (48 EC)
Semester 2
    semester 2a:
    Scientific Computing (6 EC)
    semester 2b:
    Seminars Computational Science (6 EC)
    semester 2c:
    Complex System Simulation (6 EC)

Constrained choice Computational Science; 12 EC out of:
Semester 1 
    Advanced course on Bioinformatics ( EC)
    BioInformatics I (6 EC)
    Forensic Information Systems (6 EC)
    From Genome to Physiome (6 EC)
    Introduction to eScience Infrastructure (6 EC)
    Molecular Simulation (6 EC)
    Physics of Organs 1: Cardio-Pulmonary Physics (6 EC)
Semester 2
    BioInformatics II (6 EC)
    Computational Biology (6 EC)
    Computational Finance (6 EC)
    GIS/RS Science in Ecosystem Dynamics (6 EC)
    Medical Imaging (6 EC)
    Modelling Geo-ecological Systems (6 EC)
    Quantum Computing (6 EC)
    Finite Element Methods (6 EC)

Note that this list of disciplinary courses is dynamic and can change in time. You can also propose disciplinary courses yourself from yet other fields.

Mapping the old track (2009-2010) to the new track (2010 – 2011)
As compared to the previous 2009-2010 track, the new curriculum for Computational Science for 2010-2011 contains no changes.

You can also take a variant in BioInformatics. The structuring of the curriculum is comparable to Computational Science, and there is substantial overlap. However, the obligatory courses in BioInformatics are:

Obligatory courses Computational Science-Bioinformatics
Semester 1 
    Year 1
    semester 1a:
    BioInformatics I (6 EC)
    Introduction to Computational Science (6 EC)
    semester 1b:
    Stochastic Simulation (6 EC)
    semester 1c:
    Advanced course on Bioinformatics ( EC)
    Year 2:
    semester 1 and 2
    Graduation Research -Computational Science (48 EC)
Semester 2
    semester 2a:
    Computational Biology (6 EC)
    Scientific Computing (6 EC)
    semester 2b:
    BioInformatics II (6 EC)
    semester 2c:
    Lab Visits BioInformatics (6 EC)

Then there is a free choice of 24 EC.

Track Computer Science

The track Computer Science takes two academic years (120 EC), which awards a Master of Science degree in Grid Computing. Students can start in semester 1 (September) or semester 2 (February)
Computer Science covers theory, software engineering, architecture, networks, systems and programming languages but with a clear focus on concurrency.

Key words: Concurrency engineering, grid systems, resource management, high-speed networks, next-generation computer architectures, systems on a chip, complex systems, multi-core, many-core, self-organisation, sensor networks, process algebra, concurrency theory, program algebra, thread algebra, multi-threading, programming methods and techniques, theoretical issues in software engineering.

Track coordinator Computer Science   
dr. A. Ponse     A.Ponse@uva.nl 

The track Computer Science consists of the following elements:     

  • Obligatory courses: 36 EC 
  • Constrained Choice: 18 EC
  • Free Choice:18 EC 
    Free choice enables the student to attend master courses not already mentioned as constrained choices. The free choice can also be used to work on deficiencies. In this case the free choice is not completely free. The track coordinator may decide to limit the free choice and suggest a constrained choice or obligatory courses.
  • Graduation Research: 48 EC  

Obligatory courses Computer Science 
Semester 1 
    semester 1a:
    Concurrency Theory (6 EC)
    Introduction to eScience Infrastructure (6 EC)
    semester 1b:
    Advances in Computer Architecture (6 EC)
    semester 1c:
    Concurrent Programming (6 EC)
    Year 2:
    semester 1 and 2:
    Graduation Research -Computer Science (48 EC)
Semester 2
    semester 2a:
    Compilers and Operating Systems (6 EC)
    semester 2c:
    Research Lectures (6 EC)

Constrained choice Computer Science; 18 EC out of:
Semester 1 
    semester 1b:
    Software Evolution (6 EC)
Semester 2
    semester 2a:
    Advanced Networking (6 EC)
    semester 2ab:
    Quantum Computing (6 EC)
    semester 2b:
    Theory and Application of Multi-Threading (6 EC)
    Concurrent Systems (6 EC)
    semester 2c:
    Complex System Simulation (6 EC)

Variants in the two year masters programmes

Students may choose from three variants:

  • Research Variant (R-variant - 120 EC)
  • Social Variant (S-Variant or M-Track - 60 EC masters programme and 60 EC variant), see:
    Entrepreneurship; M-track for master's students FNWI
  • Communication and Education variant (CE-Variant - 60EC masters program and 60 EC variant), see:
    Communicatieve / Educatieve variant tweejarige masteropleidingen FNWI

Students have to contact the Programme Director in order to set up a study programme.The S-Variant and the CE-Variant have a study load of 60 EC (preceding the programme of the Variant). Students will have to go through a separate intake procedure for admission to the S-Variant. In the case of the CE-variant, students are obliged to first follow the study programme of the first disciplinary year of the disciplinary Master’s programme.