NWI-IPC017
Matrix Calculation
Course infoSchedule
Course moduleNWI-IPC017
Credits (ECTS)3
CategoryPB (Propaedeutic)
Language of instructionEnglish
Offered byRadboud University; Faculty of Science; Informatica en Informatiekunde;
Lecturer(s)
Coordinator		dr. A.R. Kissinger
Other course modules lecturer
Contactperson for the course		dr. A.R. Kissinger
Other course modules lecturer
Lecturer		dr. A.R. Kissinger
Other course modules lecturer
Lecturer		dr. J.M.M. van de Wetering
Other course modules lecturer
Academic year2017
Period
KW1  (04/09/2017 to 12/11/2017)
Starting block
KW1
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims

After completing this course,

  • the  student knows the basics of Linear Algebra related to matrix computation, as listed below
  • the student can work with these notions and solve exercises
Content

Basic mathematics course for Computer Science and Artificial Intelligence, covering topics from linear algebra.

Literature
lecture notes, available on: http://www.math.ru.nl/~souvi/wiskunde1_07/linalg.pdfslides of the lectures, available via the webpage of the course.

Teaching formats
• 16 hours lecture
• 16 hours problem session
• 52 hours individual study period

Extra information teaching methods: lectures, homework assignments and problem sessions to discuss the assignments.

Additional comments
This course will be taught in English.

Topics
• systems of linear equations, their solutions and Gauss-Jordan-elimination
• solutions of (non)homogeneous equations,
• (in)dependence of vectors
• basis of vector space, linear maps and matrices, kernel and image
• products and inverses of matrices; determinant
• Basis transformations; eigenvalues and eigenvectors, Markov chains
• Geometrical interpretaion of vectors, length, angle and inner product
• Gram-Schmidt procedure and projections.

Test information
Handing in homework assignments + written exam.

Prerequisites
None.

Required materials
Reader
Lecture notes, available on: http://www.math.ru.nl/~souvi/wiskunde1_07/linalg.pdf

Recommended materials
Handouts
Slides of the lectures, available via the webpage of the course.

Instructional modes
Courseoccurrence

General
Lectures, homework assignments and problem sessions to discuss the assignments.

Lecture

Tutorial

Zelfstudie

Tests
Tentamen
Test weight1
OpportunitiesBlock KW1, Block KW2