Linear Algebra 1
| Code | Completion | Credits (ECTS) | Range | Language |
|---|---|---|---|---|
| 01YLAL | Z | 2 | 2P+2C | English |
- Course guarantor:
- Petr Ambrož, Lubomíra Dvořáková
- Lecturer:
- Petr Ambrož, Lubomíra Dvořáková
- Tutor:
- Petr Ambrož, Lubomíra Dvořáková, Illia Koval
- Supervisor:
- Department of Mathematics
- Synopsis:
-
Vector space. Linear dependence and independence. Basis and dimension. Subspace. Linear mappings and their matrices. Frobenius theorem.
- Requirements:
-
Credit is awarded for active participation (up to 2 absences are allowed).
- Syllabus of lectures:
-
1. Vector space
2. Linear (in)dependance
3. Basis and dimension
4. Subspace
5. Linear mapping
6. Matrix of linear mapping
7. Frobenius theorem
- Syllabus of tutorials:
-
1. Vector spaces / examples
2. Linear dependence and independence.
3. Calculation of dimensions of vector spaces.
4. Subspaces and operations with subspaces.
5. Linear mappings and matrices. Operations with mappings.
7. Solution of systems of linear algebraic equations.
- Study Objective:
- Study materials:
-
Key references:
[1] L. Dvořáková: Linear algebra 1, textbook, accessible online on demand
[2] T. M. Apostol: Linear Algebra: A First Course with Applications to Differential Equations, John Wiley & Sons, 2014
[3] R. C. Penney: Linear algebra and applications, John Wiley &Sons, 2015
Recommended references:
[3] G. Strang: Introduction to Linear Algebra, Wesley Cambridge Press, 2016
- Note:
- Time-table for winter semester 2026/2027:
- Time-table is not available yet
- Time-table for summer semester 2026/2027:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Physical Engineering - Computational physics (PS)
- Quantum Technologies (compulsory course in the program)
- Nuclear and Particle Physics (compulsory course in the program)
- Mathematical Engineering - Mathematical Physics (PS)
- Physical Engineering - Plasma Physics and Thermonuclear Fusion (PS)
- Mathematical Engineering - Mathematical Modelling (PS)
- Mathematical Engineering - Mathematical Informatics (PS)
- Physical Engineering - Solid State Engineering (PS)
- Physical Engineering - Laser Technology and Photonics (PS)