Numerical Modeling 2 (MAF320)

The course is a data laboratory course, which gives an introduction to the practical use of computers for scientific and technical computations. An introduction to Python is given.


Course description for study year 2025-2026

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

MAF320

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

Admission requirements

Science and mathematics qualification (REALFA) / Higher engineering education (HING)

Content

Many mathematical problems in science and engineering do not permit simple analytic solutions, necessitating the use of numerical methods. This course is a computer lab that introduces the practical use of computers for scientific and technical numerical calculations. Throughout the course, students will tackle various practical problems from science and engineering. They will use numerical algorithms to solve systems of linear equations, perform interpolation and curve fitting, find solutions to nonlinear equations, carry out numerical differentiation and integration, and solve ordinary and partial differential equations.

This course runs parallel with MAF310 Numerical Modeling 1, which focuses on the more theoretical aspects of the numerical algorithms used in MAF320.

Learning outcome

After completing this course, students are expected to:

K1: Have a basic understanding of scientific programming using the Python programming language and the NumPy and SciPy packages.

K2: Know basic terms such as variables, data types, control structures, lists, functions, classes, and objects.

F1: Be able to formulate physical problems in a form suitable for numerical calculations.

F2: Be able to choose appropriate numerical methods for specific problems, utilize pre-existing implementations of algorithms in NumPy and SciPy, and implement their own solutions when needed.

G1: Master the presentation and communication of computational results using the interactive computing platform Jupyter Notebook.

Required prerequisite knowledge

None

Recommended prerequisites

FYS100 Mechanics, FYS102 Physics for data/electro, MAT200 Mathematical Methods 2, MAT210 Real Analysis

The students taking MAF320 should be taking MAF310 in parallel. 

Exam

Folderevaluation

Form of assessment Weight Duration Marks Aid
First assignment 1/2 Letter grades All
Second assignment 1/2 Letter grades All

The folder evaluation consists of 2 assignments that are performed individualy at home with computer. The assignments each count for 50% of the grade. All assignments has to be passed to get a grade in the course. Candidates with non passing on assignments may re-take the assignment(s) next time the course has regular teaching.

Course teacher(s)

Course coordinator:

Tore Selland Kleppe

Head of Department:

Bjørn Henrik Auestad

Method of work

Practial computer lab excercises (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

The faculty decides whether early dialogue should be conducted in all or selected groups of courses offered by the faculty. The purpose is to gather feedback from students for making changes and adjustments to the course during the current semester. In addition, a digital evaluation, students’ course evaluation, must be conducted at least once every three years. Its purpose is to collect students` experiences with the course.

Literature

The syllabus can be found in Leganto