This course is a continuation of Lineaire Algebra 1 (in particular, you will need to remember the key techniques from that course). We will move on to more advanced topics; abstract vector spaces, dimension, eigenvalues and eigenvectors, inner products, length and orthogonality, and applications to approximation problems.
To gain insight into mathematical methods and techniques concerning linear systems and linear maps.
The most updated version of the timetables can be found on the students' website:
There will be a weekly lecture and also a weekly problem session. As part of the problem session there will be a short test each week, to help students judge their understanding of the material.
As well as the weekly tests, there will be a final examination. The final grade for the course will be an average of the grades from the weekly test and the grade for the final exam; the exam will count for 75%, and the tests for 25%.
David. C. Lay: Linear Algebra and its Applications, Addison-Wesley
This book will be required for the course; weekly problem sessions will be based on it, and essential reading will be set from it. The 5th international edition is recommended, but other editions are also OK, just be aware that the page numbers for the required reading may be incorrect.
There is limited space for students who are not enrolled in the BSc programme of Computer Science or the Minor Data Science. Please contact the study coordinator/study adviser.
Onderwijscoördinator Informatica, Riet Derogee.