Excerpt from course plan
|Course name||Matrix Algebra, Accelerated Program|
|Grading||A, B, C, D, E, FX, F|
|Teacher||Magnus Jansson, Mats Bengtsson|
|The Course and program catalogue||Full course description|
The course is given every second year and is suitable as a first postgraduate (Ph.D) course or as an advanced course in the final year of the M.Sc. program (e.g., for students considering to join the PhD program).
We will refresh and extend the basic knowledge in linear algebra from previous courses in the undergraduate program. Matrix algebra is of fundamental importance for scientists and engineers in many disciplines. In this course we will focus on topics that are of particular interest in communications, signal processing and automatic control.
The course requires a large amount of self study and homework problems will be handed out every week and will be due the following week. It assumes some familiarity with basic concepts from linear algebra (as can be expected by good knowledge from undergraduate studies).
After the course, each student is expected to be able to:
- Show a good working knowledge of some fundamental tools (specified by the course content) in matrix algebra.
- Use the acquired knowledge to more easily apprehend research papers in engineering.
- Identify research problems in which matrix algebra tools may be powerful.
- Apply the knowledge to solve the identified matrix algebra problems.
- Combine several sub problems and solutions to solve more complex problems.
Good knowledge of first course in linear algebra. Admission is by request to examiner.
Will be reported on the course homepage four weeks before start.
Previously we have used the books “Matrix Analysis” and “Topics in Matrix Analysis” by R.A. Horn and C. R. Johnson.