Linear Algebra, 6 credits

Linjär algebra, 6 hp

TATA16

Main field of study

Mathematics Applied Mathematics

Course level

First cycle

Course type

Programme course

Examiner

Vitalji Tjatyrko

Director of studies or equivalent

Jesper Thorén

Education components

Preliminary scheduled hours: 84 h
Recommended self-study hours: 76 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CKEB Chemical Biology, M Sc in Engineering 3 (Autumn 2017) 1, 2 4, 3 Swedish Linköping C
6CTBI Engineering Biology, M Sc in Engineering 3 (Autumn 2017) 1, 2 4, 3 Swedish Linköping C

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level

G1X

Course offered for

  • Chemical Biology, M Sc in Engineering
  • Engineering Biology, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Intended learning outcomes

To give the basic knowledge about vectors and matrices which is required for future studies in mathematics. After this course students will be able to handle the linear algebra which is used in other courses in the programme. To pass this course students will need to be able to

  • work with scalar and vector products of geometric vectors
  • define the concept of vector space, and calculate with vectors and coordinates
  • carry out calculations with matrices
  • define the concept of linear transformations, and find their matrices
  • carry out calculations with determinants
  • solve systems of linear equations and understand the structure of their solutions
  • apply the 'least-squares' method
  • apply change of basis for problem solving
  • determine eigenvectors and eigenvalues, and interpret them geometrically
  • formulate the spectral theorem
  • determine canonical basis for quadratic form and apply that to geometric problem solving
  • solve systems of linear differential equations

 

Course content

Geometric vectors, straight lines and planes. General vector spaces and Euclidean spaces. Scalar and vector products. Matrices. Linear transformations. Determinants. Systems of linear equations. Eigenvalues and eigenvectors. Quadratic forms. Systems of linear differential equations.

Teaching and working methods

Teaching is done through lectures and problem classes.
The course runs over the entire autumn semester.

Examination

KTR1Exercise0 creditsU, G
TEN1Written Examination6 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Matematiska institutionen

Director of Studies or equivalent

Jesper Thorén

Examiner

Vitalji Tjatyrko

Course website and other links

http://www.mai.liu.se/und/kurser/index-amne-tm.html

Education components

Preliminary scheduled hours: 84 h
Recommended self-study hours: 76 h

Course literature

Andersson L. m fl.: Linjär algebra med geometri. Studentliteratur
Code Name Scope Grading scale
KTR1 Exercise 0 credits U, G
TEN1 Written Examination 6 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Andersson L. m fl.: Linjär algebra med geometri. Studentliteratur

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
X
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
TEN1

                            
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
X
TEN1

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications
X
TEN1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page.

There are no files available for this course.