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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 2021-2022. Please note that changes may occur.

Facts
Course code

MAT200

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

Offered by

Faculty of Science and Technology, Department of Mathematics and Physics

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.
Content
Linear Algebra, power series, Taylor series, Fourier series, functions of multiple variables. Mathematical software (Python).
Required prerequisite knowledge
None
Recommended prerequisites
MAT100 Mathematical methods 1
Exam
Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours A - F Compilation of mathematical formulae (Rottmann), No printed or written materials are allowed. Approved basic calculator allowed.

Coursework requirements
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 coordinator: David Ploog
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.
Open for
Biological Chemistry - Biotechnology - Bachelor's Degree Programme Civil Engineering - Bachelor's Degree Programme Computer Science- Bachelor's degree programme in computer science Control Engineering and Circuit Design - Bachelor's Degree Programme Chemistry and Environmental Engineering - Bachelor's Degree Programme Mechanical Engineering - Bachelor's Degree Programme Geosciences Engineering - Bachelor's Degree Programme Petroleum Technology - Bachelor's Degree Programme City and Regional Planning - Master's Degree Programme Environmental Engineering - Master of Science Degree Programme Industrial economics - Master's Degree Programme Industrial economics - Master's Degree Programme - 5 year Industrial Automation and Signal Processing - Master's Degree Programme - 5 year Robot Technology and Signal Processing - Master's Degree Programme Mechanical and Structural Engineering and Materials Science- Master's Degree Programme - 5 years Mathematics and Physics, 5-year integrated Master's Programme Marine- and Subsea Technology - Five-Year Master's Programme Petroleum Engineering - Master of Science Degree Programme Petroleum Engineering - Master`s Degree programme in Petroleum Engineering, 5 years Technical Societal Safety - Master's Degree Programme
Course assessment
Form and/or discussion
Overlapping courses
Course Reduction (SP)
Mathematical Methods 2b (MAT220) 5
Real and Complex Calculus (MAT210) 5
Mathematical methods 2b (ÅMA270) 5
Mathematical Methods 2 (ÅMA260) 10
Mathematical methods 2B (TE0550) 5
Mathematics 6 - Linear Algebra (ÅMA140) 5
Mathematics 6 - Linear algebra (TE0334) 5
Mathematical methods 2B (TE0550) 5
Mathematical methods 2 (TE0561) 9
Mathematical methods 2 (TE0561) 9
Mathematical methods 2c (ÅMA330) 5
Elementary mathematical methods (TE0301) 6
Mathematics 6 - Linear algebra (TE0334) 5
Mathematics 6 - Linear algebra (TE0334) 5
Linear Algebra (MAT110) 5
Literature
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