Course - Mathematics 3C: Linear Algebra, Differential equations, Approximation of Functions, and Series - TMA4422
Mathematics 3C: Linear Algebra, Differential equations, Approximation of Functions, and Series
New from the academic year 2025/2026
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course is based on TMA4400 and develops topics from this course further. In addition, various forms of infinite series, methods for approximating functions and integral transforms are treated.
General vector spaces and linear transformations. Subspaces. Linear dependence and independence, and dimensional analysis in Rn and in general vector spaces. Basis. Kernel and range. Rank of matrices. Projection and orthogonalisation. Orthogonal functions. Inner product.
Linear systems of first-order differential equations. Numerical methods for ordinary differential equations.
Series and improper integrals. Tests for convergence.
Approximation of functions. Taylor polynomials and Taylor series. Interpolation methods and numerical integration.
Examples of mathematical modelling and applications in science and technology.
Learning outcome
The student understands and can apply basic concepts, results and methods from linear algebra in Euclidian spaces. The student understands and can apply basic concepts and methods concerning ordinary differential equations and series and determine whether a series converges or not. The student understands and can apply selected methods for approximation of functions and methods for numerical integration.
The student has knowledge about algorithmic thinking in order to understand and apply basic numerical methods for solving ordinary differential equations, including systems of ordinary differential equations. The student can analyse such methods with regard to applicability and precision.
The student is familiar with the use of numerical methods in a programming language and understands the possibilities and limitations of the various methods in relation to the problems they are applied to.
The student can use analytical and computational methods to formulate, model and solve simple technological problems relevant to their study programme.
The course will primarily contribute to competence area K1, show specialist knowledge and a professionally grounded perspective. It will also contribute to competence area K2, analysing engineering problems, in collaboration with the individual study programmes that the subject serves.
Learning methods and activities
Lectures and compulsory exercises. The number of exercises that must be approved will be stated at the start of the semester on the course's website. The course will be taught in Norwegian.
Compulsory assignments
- Compulsory exercises
Further on evaluation
The grade will be based on final written exam. In the event of a re-sit exam, the written exam may be changed to an oral exam. The re-sit exam will be held in August.
Recommended previous knowledge
TMA4400 - Mathematics 1: Calculus and Linear Algebra, or equivalent
Course materials
Stated at the start of the semester.
Credit reductions
Course code | Reduction | From |
---|---|---|
TMA4110 | 5.5 sp | Autumn 2025 |
TMA4100 | 2 sp | Autumn 2025 |
TMA4115 | 5.5 sp | Autumn 2025 |
TMA4125 | 1 sp | Autumn 2025 |
MA0002 | 2 sp | Autumn 2025 |
MA1102 | 3 sp | Autumn 2025 |
MA6102 | 3 sp | Autumn 2025 |
MA1201 | 5 sp | Autumn 2025 |
MA6201 | 3.5 sp | Autumn 2025 |
IMAT2022 | 2 sp | Autumn 2025 |
IMAT2150 | 3.7 sp | Autumn 2025 |
TMA4413 | 5 sp | Autumn 2025 |
TMA4401 | 2.5 sp | Autumn 2025 |
TMA4410 | 5.5 sp | Autumn 2025 |
TMA4411 | 4 sp | Autumn 2025 |
TMA4106 | 4 sp | Autumn 2025 |
MA1101 | 2.5 sp | Autumn 2025 |
IMAA1002 | 3.5 sp | Autumn 2025 |
IMAA3011 | 2.5 sp | Autumn 2025 |
IMAG1002 | 3.5 sp | Autumn 2025 |
IMAG3011 | 2.5 sp | Autumn 2025 |
IMAT1002 | 3.5 sp | Autumn 2025 |
IMAT3011 | 2.5 sp | Autumn 2025 |
MA6101 | 2.5 sp | Autumn 2025 |
Subject areas
- Mathematics
- Technological subjects