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 2024-2025. Please note that changes may occur.

Facts

Course code

MAT200

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

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

MAT100 Mathematical Methods 1

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades 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)

Course teacher:

Helge Paul Ruddat

Course coordinator:

Helge Paul Ruddat

Head of Department:

Bjørn Henrik Auestad

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

Open for

Biological Chemistry - Biotechnology - Bachelor's Degree Programme Civil Engineering - Bachelor in Engineering Computer Science - Bachelor in Engineering Control Engineering and Circuit Design - Bachelor in Engineering Energy and Petroleum Engineering, Vocational Path - Bachelor in Engineering Environmental Engineering - Bachelor in Engineering Mechanical Engineering - Bachelor in Engineering 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 Structural and Mechanical Engineering - Master of Science Degree Programme. Five Years 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

Course assessment

There must be an early dialogue between the course coordinator, the student 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.

Literature

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