Numerical Modeling 1 (MAF310)

The course is an introduction to numerical mathematics, with basic theory and methods for solving numerical computational problems with and without the use of computers.


Course description for study year 2024-2025. Please note that changes may occur.

Facts

Course code

MAF310

Version

1

Credits (ECTS)

5

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

Content

The course provides theoretical background for typical algorithms used for numerical problem solving and their practical implementation using the Python programming language.

The problems discussed include systems of linear equations, interpolation and curve fitting, roots of nonlinear equations, numerical differentiation and integration, ordinary differential equations, and partial differential equations.

Learning outcome

After completion of the course the student

  • Should have knowledge about fundamental algorithms and terminology within numerical mathematics
  • Should be able to apply these algorithms to analyse propagation of errors and solve equations and differential equations

Required prerequisite knowledge

None

Recommended prerequisites

FYS100 Mechanics, FYS102 Physics for data/electro, MAT200 Mathematical Methods 2, MAT210 Real and Complex Calculus

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades Approved, basic calculator

Written final exam with pen and paper.

Coursework requirements

Compulsory exercises

Two mandatory assignments; approved/not approved.

Both must be passed in order to gain admission to the written final exam

Course teacher(s)

Course coordinator:

Eero Aleksi Kurkela

Head of Department:

Bjørn Henrik Auestad

Method of work

Lectures and exercises (4 hours/week)

Overlapping courses

Course Reduction (SP)
Numerical Modeling (MAF300_1) 5

Open for

Bachelor level at Faculty og Science and Technology

Master level at Faculty of Science and Technology.

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

The syllabus can be found in Leganto