Students
Tuition Fee
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Start Date
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Medium of studying
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Duration
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Details
Program Details
Degree
Masters
Course Language
English
About Program

Program Overview


Program Overview

The University of Copenhagen offers a Master's program in Computer Science and Physics, with a course on Computational Methods in Simulation (CMIS).


Course Description

Computational methods in simulation are an essential tool in various disciplines, including bioinformatics, scientific computing, and computational physics, chemistry, biology, computer animation, and more. This course aims to create a toolbox of simulation methods for students to use in their future studies. It covers topics such as finite difference approximations (FDM), finite volume method (FVM), and finite element method (FEM).


Learning Outcome

The course provides students with:


  • Knowledge of computer simulation and theory of discretization methods (FEM, FVM, FDM, etc.)
  • Skills to apply the finite element method (FEM), finite volume method (FVM), and finite difference method (FDM) on a partial differential equation (PDE)
  • Competences to apply a discretization method to a given PDE to derive a computer simulation model and implement a computer simulator using a high-level programming language

Literature

The course literature is available on Absalon.


Recommended Academic Qualifications

Students are expected to have knowledge of Python or Matlab, matrices, and vectors, as well as experience with setting up experiments and writing reports. Academic qualifications equivalent to a BSc degree are recommended.


Teaching and Learning Methods

The course consists of a mixture of lectures, study groups, and project group work with individual hand-ins.


Workload

The workload is distributed as follows:


  • Lectures: 21 hours
  • Preparation: 36 hours
  • Exercises: 49 hours
  • Project work: 100 hours
  • Total: 206 hours

Exam

The exam is an oral examination, 30 minutes (no preparation), and requires students to complete 3 out of 4 short reports. The use of GitHub Copilot or similar AI-based programming tools is permitted.


Course Information

  • Language: English
  • Course code: NDAK12006U
  • Credit: 7.5 ECTS
  • Level: Full Degree Master
  • Duration: 1 block
  • Placement: Block 4
  • Schedule: C
  • Course capacity: 40

Study Board

The study board is the Study Board of Mathematics and Computer Science.


Contracting Department

The contracting department is the Department of Computer Science.


Contracting Faculty

The contracting faculty is the Faculty of Science.


Course Coordinators

The course coordinators are Melanie Ganz-Benjaminsen.


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