Course details

Linear Algebra I

SLA FSI SLA Acad. year 2023/2024 Winter semester 6 credits

The course deals with the following topics: Vector spaces, matrices and operations on matrices. Consequently, determinants, matrices in a step form and the rank of a matrix, systems of linear equations. Euclidean spaces: scalar product of vectors, eigenvalues and eigenvectors, Jordan canonical form. Fundamentals of analytic geometry, linear objects.


Language of instruction




Time span

  • 39 hrs lectures
  • 26 hrs exercises




Learning objectives

The course aims to acquaint the students with the basics of algebraic operations, linear algebra, vector and Euclidean spaces, and analytic geometry. This will enable them to attend further mathematical and engineering courses and deal with engineering problems. Another goal of the course is to develop the students' logical
Students will be made familiar with algebraic operations,linear algebra, vector and Euclidean spaces, and analytic geometry. They will be able to work with matrix operations, solve systems of linear equations and apply the methods of linear algebra to analytic geometry and engineering tasks. When completing the course, the students will be prepared for further study of mathematical and technical disciplines.

Prerequisite knowledge and skills

Students are expected to have basic knowledge of secondary school mathematics.

Study literature

  • Karásek, J., Skula, L.: Algebra a geometrie, Cerm 2002.
  • Nedoma, J.: Matematika I., Cerm 2001.
  • Nedoma, J.: Matematika I., část první: Algebra a geometrie, PC-DIR 1998.
  • Horák, P., Janyška, J.: Analytická geometrie, Masarykova univerzita 1997.
  • Janyška, J., Sekaninová, A.: Analytická teorie kuželoseček a kvadrik, Masarykova univerzita 1996.
  • Mezník, I., Karásek, J., Miklíček, J.: Matematika I. pro strojní fakulty, SNTL 1992.
  • Horák, P.: Algebra a teoretická aritmetika, Masarykova univerzita 1991.
  • Procházka, L. a spol.: Algebra, Academia 1990.

Fundamental literature

  • Thomas, G. B., Finney, R.L.: Calculus and Analytic Geometry, Addison Wesley 2003.
  • Howard, A. A.: Elementary Linear Algebra, Wiley 2002.
  • Rektorys, K. a spol.: Přehled užité matematiky I., II., Prometheus 1995.
  • Searle, S. R.: Matrix Algebra Useful for Statistics, Wiley 1982.

Syllabus of lectures

1. Number sets, fields. Vector spaces, subspaces, homomorphisms.
2.  Linear dependence of vectors, basis and dimension.
3. Matrices and determinants.
4. Systems of linear equations.
5. The characteristic polynomial, eigen values, eigen vectors. 
6. Jordan normal form.
7. Euclidean and unitary vector spaces.
8. Dual vector spaces. Linear forms.
9. Bilinear and quadratic forms.
10. Orthogonality. Gram-Schmidt process.
11. Inner, exterior and cross products – relations and applications.
12. Affine and euclidean spaces. Geometry of linear objects.
13. Reserve

Syllabus of exercises

Week 1: Fundamental notions such as vectors, matrices and operations.
Following weeks: Seminar related to the topic of the lecture given in the previous week.

Syllabus of numerical exercises

Seminars with computer support are organized according to current needs. They enables students to solve algorithmizable problems by computer algebra systems.

Progress assessment

Course-unit credit requirements: Active attendance at the seminars, at least 50% of points in written tests. There is one alternative date to correct these tests.
Form of examinations: The exam is written and has two parts.
The exercises part takes 100 minutes and 6 exercises are given to solve.
The theoretical part takes 20 minutes and 6 questions are asked.
At least 50% of the correct results must be obtained from each part. If less is met in one of the parts, then the classification is F (failed).
Exercises are evaluated by 3 points, questions by 1 point.
If 50% of each part is met, the total classification is given by the sum.
A (excellent): 22 - 24 points
B (very good): 20 - 21 points
C (good): 17 - 19 points
D (satisfactory): 15 - 16 points
E (enough): 12 - 14 points
F (failed): 0 - 11 points

Attendance at lectures is recommended, attendance at seminars is required. The lessons are planned on the basis of a weekly schedule. The way of compensation for an absence is in the competence of the teacher.


Mon exam 2024-01-29 U8 09:0015:25 Sandworm
Tue exam 2024-01-02 A1/1836 09:0016:30 Paul Atreides
Tue exam 2024-01-09 A1/1836 09:0017:05 Lady Jessica
Thu exercise lectures U3 08:0009:5025 Vašík
Thu exam 2024-01-18 A1/1836 09:0015:45 Chani
Thu exercise lectures A112 10:0011:5064 1MIT 2MIT NMAL NSPE xx Návrat
Thu exercise lectures U4 10:0011:5025 Vašík
Fri lecture lectures P3 10:0012:50180 1MIT 2MIT NMAL NSPE xx Vašík

Course inclusion in study plans

Back to top