Prospectus

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Linear Algebra for Computer Scientists 1

Course
2019-2020

Admission requirements

Not applicable.

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. How to work with linear systems efficiently on a computer, and some of the ideas underlying image processing software.

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.

Signing up for classes and exams

You can enrol via uSis . More information about signing up for classes and exams can be found here .

Contact

Onderwijscoördinator Informatica, Riet Derogee.

Website

Lineaire algebra voor informatici 1