Course

Mathematical Methods 2 (MAT200)

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

Introduction

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

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

None

Recommended prerequisites

Mathematical Methods 1 (MAT100)

Exam

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid 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.

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 Analysis (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 Biological Chemistry (Biotechnology) - bachelor Civil Engineering - Bachelor Civil Enginering - Bachelor (Vocational Path) Computer Science - Bachelor Computer Science - Bachelor (Part-Time) Electrical Engineering - bachelor (Vocational Path) Electrical Engineering - Bachelor (Part-Time) Electrical Engineering - Bachelor Energy and Petroleum Engineering - Bachelor (Vocational Path) Energy and Petroleum Engineering - Bachelor Geosciences and Energy Resources - Bachelor Environmental Engineering - Bachelor Mechanical Engineering - Bachelor (Vocational Path) Mechanical Engineering - Bachelor Medical Technology - Bachelor Medical Technology - Bachlor (Part-Time) City and Regional Planning - Master of Science Degree Programme, Five Years Environmental Engineering - Master Industrial Economics - Master Advanced teacher education for level 8-13 in science Petroleum Engineering - Master Mathematics - One Year Programme Science and Technology - One year Programme

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Contact

Course teacher:
Sigbjørn Hervik
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