Application deadline

Type of course

Admission requirements

ADMISSION REQUIREMENTS: A relevant undergraduate bachelor Engineering programme with minimum 30 credits mathematics/statistics topics

Application code: 9371

Course content

Content

Particular and general vector spaces, subspaces, basis. Gram-Schmidt process, least-squares problems. Inner product spaces. Development of the theory of eigenvalues and eigenvectors. Diagonalization with generalizations. Singular value decompositions. Linear transformations with matrix representations.

Objectives of the course

Learning outcomes, skills and attitudes

Knowledge about theory, facts, concepts and procedures in linear algebra, which constitute a fundamental basis for the professional disciplines.

Knowledge in how to solve theoretical and practical tasks by algebraic arguments. Emphasis on how to communicate results.

Knowledge in how to analyze sources of information and by logical reasoning in linear algebra derive solutions to problems.

Language of instruction and examination

Teaching methods

Working and assessment methods

Lectures and task solution sessions. Video lectures.

Two distributed assignments to be completed.

Final, summative exam.

Assessment

Mandatory tasks

One mandatory questionnaire is to be submitted before the exam.

Assessement: 4 hour written exam accounting for the total grade in the course. Grading will be done by using A-F grading scale, F is Fail. A re-sit exam will be arranged for this course.

Recommended reading/syllabus

Curriculum

David Lay: Linear Algebra and Its Applications, latest edition.

Compendia: 'Linear systems, matrices and determinants', 'Real eigenvalues and eigenvectors'

Additional theory, texts and examples on It's learning. 

Lecture notes.  Web lectures.

Additional literature

G. Strang: Linear algebra and its applications

H. Anton: Elementary linear algebra

E. Kreyszig: Advanced engineering mathematics.