Tentalabbet

TNA002 · 6 credits · Basic level (G1F) · Matematik, Tillämpad matematik

Linear Algebra

Active · next start HT 2026

56%

passed the latest ordinary exam

TEN1 · 16 Jan 2026 · 70 students

64%

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

TEN1 · 434 students

83%

Harder than 83% of courses at basic level

Compared with 874 courses at the same level, ordinary exams over the last three academic years. 145 students.

Part of 3 programmes

Exam

TEN1 Written examination

  • 5
  • 4
  • 3
  • U

Ordinary exams

64% passed · 434 students

  • 56%70
  • 59%75
  • 65%86
  • 72%113
  • 64%90

Re-exams

31% passed · 214 students

  • 9%11
  • 35%20
  • 29%17
  • 31%26
  • 61%18
  • 31%26
  • 25%12
  • 26%19
  • 17%23
  • 36%42
  • Pass the re-exam: 31% (214 students), compared with 64% (434 students) on the ordinary exam
  • Get 4 or 5: 22% (648 students)

Other modules

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

Hand-in or lab

UPG2 Individual assignment

  • G
  • U

Main rounds

73% passed · 336 students

  • 78%104
  • 68%119
  • 74%113

Later rounds

No sittings with at least 5 students.

    Hand-in or lab

    UPG3 Individual assignment

    • G
    • U

    Main rounds

    100% passed · 75 students

    • 100%75

    Later rounds

    0% passed · 15 students

    • 0%15
    • Pass a later round: 0% (15 students), compared with 100% (75 students) on the ordinary exam

    Other module

    KTR1 Individual assignments

    • D

    Main rounds

    100% passed · 258 students

    • 100%69
    • 100%96
    • 100%93

    Later rounds

    No sittings with at least 5 students.

      Other module

      KTR2 Individual assignments

      • D
      • U

      Main rounds

      99% passed · 221 students

      • 97%65
      • 100%85
      • 100%71

      Later rounds

      No sittings with at least 5 students.

        Other module

        KTR3 Individual assignment

        • G
        • U

        Main rounds

        99% passed · 127 students

        • 98%58
        • 100%69

        Later rounds

        No sittings with at least 5 students.

          Other module

          KTR4 Individual assignment

          • G

          Main rounds

          100% passed · 113 students

          • 100%58
          • 100%55

          Later rounds

          No sittings with at least 5 students.

            About the course

            Aim

            To give a unified framework for geometrical and algebraic techniques, with applications in analysis, mechanics, computer graphics, numerical analysis, mathematical statistics, control theory, linear optimization and other subjects. It is also included to develop the ability of using the mathematical language both written and oral. It is necessary for the participant to be able to

            solve systems of linear equations

            work with inner and cross product

            calculate with matrices and determinants

            calculate with vectors and coordinates in a vector space

            determine the matrix for a linear transformation and the kernel and the range for such matrices

            determine ON-basis in an inner product space

            do orthogonal projection on subspaces and to use least squares approximations

            solve problems by changing basis

            determine and to use eigenvalues and eigenvectors in different problems

            use the spectral theorem in different problems

            determine the canonical basis of quadratic forms and to use these to solve geometrical problems.

            carry out inspections of results and partial results, in order to verify that these are correct or reasonable

            solve system of linear ordinary differential equations Course content Vectors, straight lines and planes. Linear systems of equations. Matrices and determinants. Vector spaces. Euclidean spaces.Linear mappings. Isometric and symmetric mappings. Eigenvalues and eigenvectors. Diagonalization. Otrhogonality. Quadratic forms. Distance and approximation. System of linear ordinary differential equations Teaching and working methods The course is given in the form of lectures and tutorials. Examination TEN1Written examination6 creditsU, 3, 4, 5KTR3Individual assignment0 creditsU, GKTR4Individual assignment0 creditsU, GGrades for examination modules are decided in accordance with the assessment criteria presented at the start of the course. Grades Four-grade scale, LiU, U, 3, 4, 5 Other information About teaching and examination languageThe teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.If teaching language is “English”, the course as a whole is taught in English. Examination language is English.If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.OtherThe course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point. The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included. Department Institutionen för teknik och naturvetenskap Course literature CompendiaKompendium utgivet vid ITN.

            Content

            Vectors, straight lines and planes. Linear systems of equations. Matrices and determinants. Vector spaces. Euclidean spaces.Linear mappings. Isometric and symmetric mappings. Eigenvalues and eigenvectors. Diagonalization. Otrhogonality. Quadratic forms. Distance and approximation. System of linear ordinary differential equations

            Examiner
            George Baravdish
            Scheduled hours
            87 h
            Main field of study
            Matematik, Tillämpad matematik
            Syllabus on Studieinfo ↗