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Syllabus for

Academic year
LMA212 - Linear algebra
 
Syllabus adopted 2014-02-12 by Head of Programme (or corresponding)
Owner: TIELL
6,0 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: First-cycle
Major subject: Mathematics
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: Swedish

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0104 Intermediate test, part A 2,3 c Grading: TH   2,3 c   04 Jan 2016 pm L,  22 Aug 2016 am L
0204 Examination, part B 3,7 c Grading: TH   3,7 c   29 Oct 2015 am L,  07 Jan 2016 pm L,  22 Aug 2016 pm L

In programs

TIDAL COMPUTER ENGINEERING, Year 1 (compulsory)
TIELL ELECTRICAL ENGINEERING, Year 1 (compulsory)

Examiner:

Univ adjunkt  Reimond Emanuelsson



  Go to Course Homepage

Eligibility:

In order to be eligible for a first cycle course the applicant needs to fulfil the general and specific entry requirements of the programme(s) that has the course included in the study programme.

Course specific prerequisites

-

Aim

The aim of the course is to give basic knowledge of complex numbers and linear algebra. The course will also give necessary previous knowledge for mathematical treatment of technical problems in future profession and supply a good base for further studies

Learning outcomes (after completion of the course the student should be able to)

After completion of the course, the student should be able to



  • define basic concepts in linear algebra and basic concepts of complex numbers

  • formulate, and in certain cases prove, fundamental theoremsin linear algebra

  • solve systems of linear equations by matrix methods

  • find the rank of a matrix

  • add, subtract and multiply matrices

  • decide if a matrix is invertible and, if that is the case, find the inverse

  • solve matrix equations

  • apply the algebra of determinants

  • use Cramer s rule

  • add and subtract vectors

  • apply scalar and vectorial multiplication of vectors

  • apply her/his knowledge of vectoralgebra to analytic geometry

  • apply the method of least squares

  • carry out calculations with complex numbers ● solve algebraic equations

Content

Algebra. Trigonometry. Systems of linear equations. Matrices. Determinants. Vectors. Method of least squares. Complex numbers.

Basic Programming assignment during one or two occasions (Mathematica, Matlab, Maple or similar)

Organisation

The course includes about 25 lectures (50h), 7 tutorials (14h) and 96h of homework.

Literature

determined later

Examination

The examination is based on written exams, grades TH.


Page manager Published: Mon 28 Nov 2016.