MAT1120 – Linear algebra
Schedule, syllabus and examination date
MAT1120 gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for illustrations and for solving numerically various problems. MAT1120 is based on, and is a natural continuation of, MAT1110, and the course is a building block for a number of advanced mathematical courses.
After completing the course you:
- have applied basic theory for linear systems of equations;
- are well acquainted with the definition of general vector spaces, and with important examples of these spaces, such as the usual n-dimensional Euclidean space and different function spaces;
- master concepts like subspace and linear independence, and are familiar with natural subspaces associated with matrices;
- have a good understanding of the notions of basis and dimension of vector spaces, are accustomed with change of basis and can use coordinate vectors to solve different problems;
- are able to find the matrix representation of linear maps relative to different bases;
- know the theory of eigenvalues and eigenvectors, and can use this to solve certain systems of differential equations and analyze discrete dynamical systems;
- are familiar with inner product spaces, orthogonality and orthogonal projections, and can compute orthogonal bases;
- can solve least-squares problems, and apply this to linear models;
- know the spectral theorem for symmetric matrices, and can analyze quadratic forms;
- can compute the singular value decomposition of a matrix, and know how to use the information it provides;
- can solve different linear algebra problems numerically, for instance how to approximate eigenvalues.
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Formal prerequisite knowledge
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
Mathematics R1 (or Mathematics S1 and S2) + R2
And in addition one of these:
- Physics (1+2)
- Chemistry (1+2)
- Biology (1+2)
- Information technology (1+2)
- Geosciences (1+2)
- Technology and theories of research (1+2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies (in Norwegian).
Recommended previous knowledge
- 3 credits overlap with MAT1010 – Mathematics for applications II (discontinued)
- 3 credits overlap with MAT1011 – More Mathematics (discontinued)
- 10 credits overlap with MAT120
- 10 credits overlap with MAT104
- 10 credits overlap with MAT114
- 9 credits overlap with MA103
- 6 credits overlap with MA113
*The information about overlaps for discontinued courses may not be complete. If you have questions, please contact the Department.
6 hours of lectures, 2 hours of groups/datalab per week.
The number of groups offered can be adjusted during the semester, depending on attendance.
Final written examination.
Examination support material
No examination support material is allowed.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.