Tentalabbet

TATA31 · 8 credits · Basic level (G1N) · Matematik, Tillämpad matematik

Linear Algebra

Active · next start HT 2026

77%

passed the latest ordinary exam

TEN1 · 17 Jan 2026 · 218 students

71%

passed the ordinary exams, all sittings over the last 5 years

TEN1 · 984 students

62%

Harder than 62% of courses at basic level

Compared with 874 courses at the same level, ordinary exams over the last three academic years. 429 students.

Part of 1 programme

Exam

TEN1 Written examination

  • 5
  • 4
  • 3
  • U

Ordinary exams

71% passed · 984 students

  • 77%218
  • 67%211
  • 69%193
  • 75%189
  • 66%173

Re-exams

38% passed · 476 students

  • 28%40
  • 40%52
  • 31%45
  • 45%62
  • 38%55
  • 39%57
  • 29%42
  • 38%39
  • 38%42
  • 100%5
  • 46%37
  • Pass the re-exam: 38% (476 students), compared with 71% (984 students) on the ordinary exam
  • Get 4 or 5: 33% (1,460 students)
Show small sittings (4)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%2
  • 100%3
  • 100%4
  • 100%4

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Other module

KTR1 Written test

  • G
  • U

Main rounds

76% passed · 938 students

  • 78%201
  • 78%200
  • 76%173
  • 82%177
  • 66%187

Later rounds

No sittings with at least 5 students.

    About the course

    Aim

    After completing the course, the student should be able to

    • choose and apply solution methods to problems in both parts of the course A and B, which are described in the course content.
    • report and justify solutions to tasks within the course content with using relevant concepts and clear reasoning.

    Content

    Part A: Vector geometry, matrices and determinants. Introduction to vector spaces Systems of linear equations. Geometric vectors. Lines and planes. Matrix algebra.

    Part B: Vector spaces, linear mappings and spectral theory Vector space. Euclidean spaces. ON bases. Orthogonal projection. The least squares method. Linear mappings. Base changes. Symmetric and isometric representations. Eigenvalues ​​and eigenvectors. Square shapes. Systems of differential and difference equations.

    Examiner
    Jonathan Nilsson
    Scheduled hours
    108 h
    Main field of study
    Matematik, Tillämpad matematik
    Syllabus on Studieinfo ↗