Scientific Computing
Study plans 2016-2017 - IMT3881 - 10 ECTS

Prerequisite(s)

• TØL1001 Introduction to Engineering
• IMT1031 Fundamental Programming
• REA1141 Mathematics 1
• REA2091 Mathematics 2 for Computer Science or REA2081 Mathematics 2 for Electical Engineering

On the basis of

• IMT1082 Object-Oriented Programming
• IMT2021 Algorithmic Methods
• REA2101 Physics and Chemistry

Expected learning outcomes

After completing the course, the candidate will be able to

Knowledge:

• describe, explain and derive methods for numerical solution of selected problems
• assess which methods to use for solving a given problem, and analyse the accuracy of the methods

Skills:

• implement numerical algorithms in suitable high-level languages
• apply high-level languages for scientific computing
• apply numerical methods for solving practical problems

General competence:

• document methods and results from scientific computations in the form of technical reports, with suitable use of figures, tables, equations, cross references, and bibliography

Topic(s)

• Numerical solution of
  • definite integrals
  • ordinary differential equations and systems of such
  • the diffusion equation
  • non-linear algebraic equations
  • the method of least squares
• High-level scientific computing for
  • visualisation of multi-dimensional data
  • linear algebra
  • optimisation
  • statistics, combinatorics, and random numbers
  • interpolation
  • signal and image processing
  • machine learning

Teaching Methods

Lectures
Mandatory assignments

Form(s) of Assessment

Written exam, 4 hours

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Internal and external examiner.

Re-sit examination

Re-sit examination in August.

Tillatte hjelpemidler

Code D: No printed or hand-written support material is allowed. A specific basic calculator is allowed.
Read more about permitted examination aids.

Coursework Requirements

2 compulsory assignments

Teaching Materials

A. Tveito, H. P. Langtangen, B. F. Nielsen, X, Cai: Elements of Scientific Computing. Springer, 2010

EuroScipy tutorial team: Python Scientific lecture notes. http://scipy-lectures.github.com.