Course syllabus adopted 2021-02-08 by Head of Programme (or corresponding).
Overview
- Swedish nameLinjär algebra
- CodeMVE670
- Credits6 Credits
- OwnerTKTFY
- Education cycleFirst-cycle
- Main field of studyMathematics, Engineering Physics
- DepartmentMATHEMATICAL SCIENCES
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language Swedish
- Application code 57144
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0121 Examination 6 c Grading: TH | 6 c |
|
In programmes
- TKTEM - ENGINEERING MATHEMATICS, Year 1 (compulsory)
- TKTFY - ENGINEERING PHYSICS, Year 1 (compulsory)
Examiner
Elizabeth Wulcan- Full Professor, Algebra and Geometry, Mathematical Sciences
Eligibility
General entry requirements for bachelor's level (first cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
The same as for the programme that owns the course.Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Aim
To be one of the courses that develop the competence and knowledge in mathematics for students in the programs Engineering physics and Engineering mathematics. Linear algebra is one of the basic areas of mathematics with a variety of applications. An important part of the course is about the application of concepts and methods in geometry.
Learning outcomes (after completion of the course the student should be able to)
- describe basic concepts in linear algebra and geometri
- describe connections between the various concepts
- apply the knowledge about various concepts in problem solving.
Content
- systems of linear equations
- vectors, lines and planes
- geometry in the plane and in space
- R^n
- matrices
- linear mappings
- determinants
- inner product and orthogonality
- eigenvalues and eigenvectors
- spectral theory
- complex numbers.
Organisation
Lectures and exersice classes.
Literature
Indicated on the course website before the start of the course.Examination including compulsory elements
Written exam.
The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.