Course

Mathematical Methods 2 (MAT200)

Basics of calculus of several variables, elementary linear algebra, Taylor and Fourier series. Mathematical software (Python).


Course description for study year 2025-2026. Please note that changes may occur.

Facts

Course code

MAT200

Credits (ECTS)

10

Semester tution start

Spring

Language of instruction

English

Number of semesters

1

Exam semester

Spring

Time table

View course schedule

Literature

Search for literature in Leganto

Content

Linear Algebra, power series, Taylor series, Fourier series, functions of multiple variables. Mathematical software (Python).

Learning outcome

The student should:

  • know basic concepts of elementary linear algebra; be able to handle systems of linear equations and solve eigenvalue problems;
  • be able to analyse convergence/divergence of series; find the Taylor and Fourier series of a given simple function;
  • have basic knowledge of multi-variable calculus.
  • know how to use the computer software program Python to solve elementary problems in one- and multi-variable calculus.

Required prerequisite knowledge

Mathematical Methods 1 (MAT100)

Recommended prerequisites

Mathematical Methods 1 (MAT100)

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades Basic calculator, Compilation of mathematical formulae (Rottmann)


Written exam is with pen and paper.

Coursework requirements

75% compulsory attendance at math exercises, 3 Compulsory assignment exercises
There are three compulsory assignment during the course, one of which is in Python. Students may take the final exam only if all compulsory assignments are approved. Participation in tutorial sessions compulsory if the circumstances allow it.

Course teacher(s)

Head of Department:

Bjørn Henrik Auestad

Head of Department:

Bjørn Henrik Auestad

Course teacher:

Helge Paul Ruddat

Course coordinator:

Helge Paul Ruddat

Method of work

6 hours of lectures and 2 hours of exercise classes, compulsory hand-in assignments. Compulsory assigments must be approved by the lecturer at least three weeks ahead of the examination date.

Overlapping courses

Course Reduction (SP)
Mathematical Methods 2 (MAT200_1) , Mathematical Methods 2b (MAT220_1) 5
Mathematical Methods 2 (MAT200_1) , Real and Complex Calculus (MAT210_1) 5
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2b (ÅMA270_1) 5
Mathematical Methods 2 (MAT200_1) , Mathematical Methods 2 (ÅMA260_1) 10
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2B (TE0550_1) 5
Mathematical Methods 2 (MAT200_1) , Mathematics 6 - Linear Algebra (ÅMA140_1) 5
Mathematical Methods 2 (MAT200_1) , Mathematics 6 - Linear algebra (TE0334_A) 5
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2B (TE0550_A) 5
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2 (TE0561_A) 9
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2 (TE0561_1) 9
Mathematical Methods 2 (MAT200_1) , Mathematical methods 2c (ÅMA330_1) 5
Mathematical Methods 2 (MAT200_1) , Elementary mathematical methods (TE0301_1) 6
Mathematical Methods 2 (MAT200_1) , Mathematics 6 - Linear algebra (TE0334_2) 5
Mathematical Methods 2 (MAT200_1) , Mathematics 6 - Linear algebra (TE0334_1) 5
Linear Algebra (MAT110_1) , Mathematical Methods 2 (MAT200_1) 5

Open for

Battery and Energy Engineering - Bachelor in Engineering Biological Chemistry - Biotechnology - Bachelor's Degree Programme Civil Engineering - Bachelor in Engineering Computer Science - Bachelor in Engineering Computer Science - Bachelor in Engineering, Part-Time Electrical Engineering - Bachelor's Degree Programme, part-time Electrical Engineering - Bachelor's Degree Programme Energy and Petroleum Engineering, Vocational Path - Bachelor in Engineering Energy and Petroleum Engineering - Bachelor in Engineering Geosciences and Energy Resources - Bachelor in Engineering Environmental Engineering - Bachelor in Engineering Mechanical Engineering - Bachelor in Engineering Mathematics and Physics - Bachelor's Degree Programme Medical technology - Bachelor in Engineering Medical Technology - Bachelor in Engineering - part time Geosciences Engineering - Bachelor in Engineering Petroleum Technology - Bachelor in Engineering
Admission to Single Courses at the Faculty of Science and Technology
City and Regional Planning - Master of Science Degree Programme, Five Years Environmental Engineering - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme, Five Year Industrial Automation and Signal Processing - Master's Degree Programme - 5 year Robot Technology and Signal Processing - Master's Degree Programme Structural and Mechanical Engineering - Master of Science Degree Programme. Five Years Advanced teacher education for level 8-13 in science Mathematics and Physics - Five Year Integrated Master's Degree Programme Marine and Subsea Technology, Master of Science Degree Programme, Five Years Petroleum Engineering - Master of Science Degree Programme Petroleum Engineering - Master of Science Degree Programme, Five Years Master's Degree Programme in Societal Safety, Specialisation in Technical Social Safety Mathematics - One-Year Programme Science and Technology - one-year programme

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 course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Contact

Head of Department:

Bjørn Henrik Auestad

Head of Department:

Bjørn Henrik Auestad

Course teacher:

Helge Paul Ruddat

Course coordinator:

Helge Paul Ruddat

Offered by

Faculty of Science and Technology

Department of Mathematics and Physics

The course description is retrieved from FS (Felles studentsystem). Version 1