Admission requirements
None.
Description
In this course we introduce matrices as a tool for representing and solving systems of linear equations. We therefore study various properties of matrices such as rank, determinants, eigenvalues, …. We emphasise the geometric interpretations of these properties.
Course objectives
To gain insight into mathematical methods and techniques concerning linear systems and linear maps.
Timetable
The most updated version of the timetables can be found on the students' website:
Mode of instruction
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.
Assessment method
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%.
Reading list
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.
Blackboard
Signing up for classes and exams
You can enrol via uSis . More information about signing up for classes and exams can be found here .
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.
Contact information
Onderwijscoördinator Informatica, Riet Derogee