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Cursus: SOW-BKI124
SOW-BKI124
Linear Algebra for Artificial Intelligence
Cursus informatieRooster
CursusSOW-BKI124
Studiepunten (ECTS)3
CategorieB1 (Eerste jaar bachelor)
VoertaalEngels
Aangeboden doorRadboud Universiteit; Faculteit der Sociale Wetenschappen; Artificial Intelligence;
Docenten
Docent		dr. ing. L.P.J. Selen
Overige cursussen docent
Contactpersoon van de cursus		dr. ing. L.P.J. Selen
Overige cursussen docent
Collegejaar2016
Periode
SEM1  (29-08-2016 t/m 29-01-2017)
Aanvangsblok
SEM1
Onderwijsvorm
voltijd
Opmerking-
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
WachtlijstNee
Plaatsingsprocedure-
Cursusdoelen

The objectives of the course are that students:

  • Will learn the basic concepts of matrix calculations.
  • Are able to apply these concepts to solve linear algebra problems.
Inhoud

The course will cover the following topics:
1. Systems of linear equations and their solutions (Gauss-Jordan procedure)
2. Vector spaces and linear transformations
3. Matrix multiplication
4. Calculating  a matrix inverse
5. Eigenvalues and eigenvectors
6. Calculating the determinant
7. Inner product and orthogonal projections (Gram-Schmidt procedure)

We will also provide examples of how the above-mentioned concepts are used in Artificial Intelligence.

Niveau
AI-BA1
Toetsinformatie
Weekly assignments and a written exam.It is forbidden to use resources, such as calculators or books, during the written examination. The written examination will consist of problems similar to those which will be discussed in the weekly assignments. 50% of the final mark will be based on the practical assignments while the other 50% will be determined by the written examination mark. You will need to score a minimum of 5.5 on the written examination to pass this course! It will not be possible to resubmit assignments.
Voorkennis
There are no explicit prerequisites but it is assumed that students have a good basic knowledge of secondary school mathematics.
Contact informatie
Dr.ing.L.Selen; l.selen@donders.ru.nl; 024-3612629
Literatuur
Linear Algebra Lecture Notes by Bernd Souvignier– available on Blackboard.
Werkvormen

• 16 hours of lectures
• 16 hours of practicals/tutorials
• 52 hours of private study
Verplicht materiaal
Blackboard
Linear Algebra Lecture Notes by Bernd Souvignier– available on Blackboard.
Werkvormen
Lecture
AanwezigheidsplichtJa

Algemeen
16 hours of lectures

Practicals
AanwezigheidsplichtJa

Algemeen
16 hours of practicals/tutorials

Private study
AanwezigheidsplichtJa

Algemeen
52 hours of private study

Toetsen
Exam
Weging1
GelegenhedenBlok SEM1, Blok SEM1

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