Syllabus for Applied Scientific Computing

Tillämpad beräkningsvetenskap

  • 5 credits
  • Course code: 1TD248
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1F, Computational Science A1F, Technology A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle
    G1N: has only upper-secondary level entry requirements
    G1F: has less than 60 credits in first-cycle course/s as entry requirements
    G1E: contains specially designed degree project for Higher Education Diploma
    G2F: has at least 60 credits in first-cycle course/s as entry requirements
    G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    GXX: in-depth level of the course cannot be classified.

    Second cycle
    A1N: has only first-cycle course/s as entry requirements
    A1F: has second-cycle course/s as entry requirements
    A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    AXX: in-depth level of the course cannot be classified.

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2010-03-18
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2014-06-03
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2014
  • Entry requirements: 120 credits of which vector analysis, linear algebra, Computer programming II and Scientific Computing III or the equivalent is included.
  • Responsible department: Department of Information Technology

Learning outcomes

After the course, the student should be able to

  • describe how 3D geometry is represented and how computational meshes are generated in a computer,
  • describe, propose and argue for suitable mathematical models in fluid mechanics,
  • describe, propose and argue for suitable numerical methods to compute the solutions to these mathematical models,
  • choose suitable software tools to solve these problems,
  • generate computational meshes and handle advanced software, pre and post processing,
  • evaluate simulation results based on the mathematical and numerical theory and identify possible shortcomings in the results,
  • interpret computed solutions.

Content

The contents are related to the area of computational fluid dynamics. The contents include mesh generation and interfaces to computer aided design (CAD), practical aspects of finite element methods (FEM) and finite volume methods (FVM) in the computational fluid dynamics area, choice of mathematical models, such as turbulence models. Solution to systems of nonlinear equations, visualisation and post-processing.

Instruction

Lectures, laboratory work and assignments.

Assessment

Written exam (2 credits) and assignments (3 credits).

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.