Civil and Structural Engineering, Bachelor's Programme
Computer Engineering, Bachelor's Programmme
Electronics and Electrical Engineering, Bachelor's Programme
Renewable Energy, Bachelor's Programme
Mechatronics, Bachelor's Programme
Language of instruction
Norwegian
Recommended prerequisites
MA-178 Mathematics 1 or equivalent.
Learning outcomes
On successful completion of this course, the student should
know matrix algebra
be able to apply matrix methods to solve systems of linear equations
be able to apply matrix methods to for instance polynomial regression and linear transformations
be able to explain and make use of eigenvalues and eigenvectors
be able to calculate and make use of determinants
know and be able to make use of the Laplace transformation
understand and be able to solve differential equations
be able to calculate and make use of partial derivatives
Course contents
Linear algebra
Gauss-Jordan elimination and matrix algebra
Applications, including polynomial regression
Determinants and Cramer’s Rule
Linear transformations
Eigen-values and -vectors
Difference and differential equations
Higher order linear difference and differential equations
The Laplace transform
Applications
Multivariate calculus
Partial derivatives
Teaching methods
Lectures, tutorial groups for exercises, mandatory assignments. Information onexercises will be provided in Canvas.
Assessment methods and criteria
Portfolio consisting of tests and a written assigment. Graded assessment. More information about the portfolio will be given in Canvas. There will not be arranged a postponed exam for the portfolio.