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Course, academic year 2022/2023
  

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Linear algebra and matrices - B143009
Title: Lineární algebra a matice
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2022 to 2022
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:3/0, Ex [HT]
Capacity: unlimited / unknown (unknown)
Min. number of students: unlimited
Qualifications:  
State of the course: taught
Language: Czech
Teaching methods: full-time
Level:  
Guarantor: Lankaš Filip doc. Ing. Ph.D.
Classification: Mathematics > Mathematics General
Annotation -
Methods of liear algebra and matrix operations are key building blocks of various approaches to data analysis and prediction. Their knowledge, therefore, is indispensable in research fields such as multidimensional statistics or machine learning. The course is an introduction to linear algebra and matrix theory. The goal is to present not only practical procedures to solve specific tasks, but also a more general theoretical basis, enabling the students to orient themselves is less standard problems. Theoretical explanations will be supplemented by practical examples illustrating the discussed notions and methods.
Last update: Lankaš Filip (16.04.2025)
Course completion requirements -

The course is completed by a course credit and an oral exam. The necessary condition for the course credit is an active participation in the lectures and exercises.

Last update: Lankaš Filip (16.04.2025)
Syllabus -

1. Vector spaces, basis, dimension

2. Subspaces

3. Linear operators and matrices

4. Linear equations

5. Matrix inverse, change of basis

6. Determinant

7. Eigenvalues and eigenvectors

8. Inner product, orthogonality

9. Inner product and linear operators

10. Normal operators and matrices

11. Quadratic forms

12. Singular value decomposition

13. Applications in data analysis

14. Geometry in linear spaces

Last update: Lankaš Filip (20.05.2022)
Learning resources -

The main study materials are lecture presentations.

Last update: Lankaš Filip (16.04.2025)
Learning outcomes -

The students will acquire basic knowledge of linear algebra and matix theory.

Last update: Lankaš Filip (20.05.2022)
Registration requirements -

The main prerequisite for the course are any of the basic courses in mathematics at UCT, or equivalent knowledge.

Last update: Lankaš Filip (20.05.2022)
 
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