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Course module: 822190-B-6
822190-B-6
Linear Algebra
Course info
Course module822190-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Department Cognitive Science and AI; TSH: Department Cognitive Science and AI;
Is part of
B Communication and Information Sciences
B Communication and Information Sciences (Spc.Cog.Sc & AI)
B Cognitive Science and Artificial Intelligence
PM CIW: DSBG, CSAI
PM CIW: Data Science and Society
Convenant TSH
Contact persondr. M. Alimardani
Lecturer(s)
Lecturer
dr. M. Alimardani
Other course modules lecturer
Coordinator course
dr. M. Alimardani
Other course modules lecturer
Academic year2019
Starting block
SM 1
Course mode
Full-time
Remarks-
Registration openfrom 20/08/2019 up to and including 24/01/2020
Aims
The general objective of the course is to help students master the basic concepts and techniques of linear algebra that they will need in other courses focusing on programming and data science. The course is introductory and intended for students with a variety of backgrounds. It balances theory and applications and in its didactic approach, it combines a traditional form of presentation with student-centered learning. The material is presented algebraically, geometrically, numerically, as well as verbally (with the aid of visuals), thus supporting various kinds of learning styles.

The course covers various topics with a limited number of theorems and is light on proofs; however, it offers a comprehensive introduction into the subject and its applications.

Learning Objectives:
  • Understand vector concepts such as dot product, norm, describing lines and planes, and orthogonality.
  • Have basic knowledge of the systems of linear equations and their solutions.
  • Have knowledge of the basic facts about matrices, matrix operations and their properties.
  • Explore the notion of an eigenvector and the essentials of determinants.

 
Content
The material covered in the course will include the following topics:
- Vectors
- Matrices
- Linear equations and systems
- Linear transformations
- Eigenvalues and Eigenvectors 
- Determinants
- Orthogonality

Course book
Poole, D., Linear Algebra: A modern introduction (3rd or 4th edition), Cengage Learning, 2014, ISBN 9781285982830.

Evaluation
In order to pass the course, students need to pass both a midterm exam (50%) and a final exam (50%). Given that the two components cover different course material, both should be a pass and there is no compensation possible. Next to that, students will work on a total of 10 assignments. The assignments do not count for the final grade however they serve as a pre-requisite for taking the final test. Submission of 8 out of 10 assignments is mandatory to qualify for the final test. After each submission is closed, students are provided with an answer key to check their answers for self-evaluation.

“Due to limited capacity, this course is currently not open for external students.”​
Course available for exchange students
Conditions of admission apply
Timetable information
Linear Algebra
Written test opportunities
DescriptionTestBlockOpportunityDate
Schriftelijk 60% / Written 60%EXAM_01SM 1118-12-2019
Midterm 20% / Midterm 20%MIDTERM_01SM 1208-01-2020
Schriftelijk 60% / Written 60%EXAM_01SM 1222-01-2020
Written test opportunities (HIST)
DescriptionTest/BlockOpportunityDate
Midterm 20% / Midterm 20%MIDTERM_01SM 1116-10-2019
Required materials
-
Recommended materials
-
Tests
Written 60%

Midterm 20%

10 Papers 20%

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