SF1672 Linear Algebra 7.5 credits

Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt’s method. Programming and visualization in Matlab.

After the course the student should be able to

• use concepts. theorems and methods to solve and present solutions to problems within the parts described by the course content,
• read and comprehend mathematical text.

Basic requirements. 

The literature is published on the course webpage no later than four weeks before the course starts.

If the course is discontinued, students may request to be examined during the following two academic years.

• LAB1 - Laboratory Sessions, 1.5 credits, grading scale: P, F
• TEN1 - Examination, 6.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The examiner decides, in consultation with KTHs Coordinator of students with disabilities (Funka), about any customized examination for students with documented, lasting disability.

Tilman Bauer

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.