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Prospectus

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Linear Algebra for Computer Scientists 2

Course
2021-2022

Admission requirements

Not applicable.

Description

In this course we introduce vector spaces and their dimension. Further properties of matrices are studied such as their null space, their column space, rank, eigenvalues, and eigenvectors, leading to matrix diagonalisation. Furthermore, the concepts of orthogonality, including the Gramm-Schmidt algorithm, and the distance between vectors is covered.

Course objectives

To gain insight into mathematical methods and techniques concerning the study of linear transformations, vector paces, and the properties of matrices. Studying applications such as the least square method for the approximation of solutions for linear systems.

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 (tutorial). As part of the problem session there will be a short test each week, to help students judge their understanding of the material. During the problem sessions the students also have the opportunity to ask questions about the material covered so far.

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%.

The lecturer will inform the students how the inspection of and follow-up discussion of the exams will take place.

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

Aanmelding voor vakken verloopt via uSis. Hiervoor is de uSis-code van het vak nodig, die te vinden zijn in de Studiegids. Meer info over het inschrijven voor vakken of tentamens is hier te vinden.

MyTimetable

In MyTimetable kun je alle vak- en opleidingsroosters vinden, waarmee jij je persoonlijke rooster kunt samenstellen. Onderwijsactiviteiten waarvoor je in uSis staat ingeschreven, worden automatisch in je rooster getoond. Daarnaast kun je My Timetable gemakkelijk koppelen aan een agenda-app op je telefoon en worden roosterwijzigingen automatisch in je agenda doorgevoerd; bovendien ontvang je desgewenst per e-mail een notificatie van de wijziging.

Vragen? Bekijk de video-instructie, lees de instructie of neem contact op met de ISSC helpdesk.

Brightspace

Inschrijving voor vakken verloopt via uSis. Wanneer je je hier inschrijft voor een bepaald vak krijg je automatisch ook toegang tot de omgeving van dit vak via Brightspace.

Voor meer informatie over Brightspace kun je op deze link klikken om de handleidingen van de universiteit te bekijken. Bij overige vragen of problemen kan contact opgenomen worden met de helpdesk van de universiteit Leiden.

Contact information

Education coordinator LIACS, Riet Derogee.