Linear Algebra (MAT110)
The course gives an introduction to linear equations, matrices, determinants, vector spaces, eigenvalues, diagonalization problem.
Course description for study year 2024-2025. Please note that changes may occur.
Facts
Course code
MAT110
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Time table
Content
The course gives an introduction to linear equations, matrices, determinants, vector spaces, eigenvalues, diagonalization problems, and elementary solution methods through programming.
Learning outcome
By the end of this course a successful student should be able to:
- Be familiar with some of the techniques and ideas in linear algebra.
- Be able to deal with systems of linear equations. Understand the connection both between the set of solutions and vector spaces, and between linear systems and linear transformations.
- Understand the use of orthogonality and manage to construct orthogonal basis for certain vector spaces.
- Be able to deal with the diagonalizationproblem.
- Be able to solve elementary linear problems using a programming language such as Python.
Required prerequisite knowledge
None
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 1/1 | 4 Hours | Letter grades | No printed or written materials are allowed. Approved basic calculator allowed |
Written exam is with pen and paper
Course teacher(s)
Course coordinator:
Eirik Eik SvanesHead of Department:
Bjørn Henrik AuestadMethod of work
6 hours lectures and problem solving per week.
Overlapping courses
Course | Reduction (SP) |
---|---|
Mathematics 6 - Linear Algebra (ÅMA140_1) | 10 |
Mathematical methods 2B (TE0550_1) | 5 |
Linear algebra with applications (MPT100_1) | 3 |
Mathematical methods 2b (ÅMA270_1) | 5 |
Mathematical Methods 2 (ÅMA260_1) | 5 |
Mathematical methods 2 (TE0561_A) | 5 |
Mathematical methods 2B (TE0550_A) | 5 |
Mathematical Methods 2 (MAT200_1) | 5 |
Open for
Admission to Single Courses at the Faculty of Science and Technology
Environmental Engineering - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme, Five Year
Mathematics and Physics - Five Year Integrated Master's Degree Programme
Marine and Subsea Technology, Master of Science Degree Programme, Five Years
Marine and Offshore Technology - Master of Science Degree Programme
Petroleum Engineering - Master of Science Degree Programme
Petroleum Engineering - Master of Science Degree Programme, Five Years
Mathematics - One-Year Programme
Course assessment
There must be an early dialogue between the course supervisor, the student union 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 subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.