PřF:M2110 Linear Algebra II - Course Information
M2110 Linear Algebra and Geometry II
Faculty of ScienceSpring 2026
- Extent and Intensity
- 2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
In-person direct teaching - Teacher(s)
- doc. RNDr. Martin Čadek, CSc. (lecturer)
prof. RNDr. Jan Paseka, CSc. (seminar tutor)
Mgr. Mária Šimková, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Martin Čadek, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Mon 16. 2. to Fri 22. 5. Tue 10:00–11:50 A,01026
- Timetable of Seminar Groups:
M2110/02: Mon 16. 2. to Fri 22. 5. Mon 14:00–15:50 M2,01021, J. Paseka
M2110/03: Mon 16. 2. to Fri 22. 5. Mon 16:00–17:50 M2,01021, J. Paseka
M2110/04: Mon 16. 2. to Fri 22. 5. Tue 18:00–19:50 M1,01017, M. Šimková - Prerequisites
- M1110 Linear Algebra I || M1111 Linear Algebra I ||( FI:MB003 Linear Algebra and Geometry I )
Knowledege of basic notion of linear algebra is supposed. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 7 fields of study the course is directly associated with, display
- Abstract
- The aim of this second course in linear algebra is to introduce other basic notions of linear algebra. Passing the course the students *will know affine spaces, bilinear and quadratic forms, eingenvalues and eigenvectors of linear operators, *they will be able to solve problems concerning the spaces with scalar product and properties of orthogonal and selfadjoint operators and *to find the Jordan canonical form.
- Learning outcomes
- Passing the course the students *will know affine spaces, bilinear and quadratic forms, eingenvalues and eigenvectors of linear operators, *they will be able to solve problems concerning the spaces with scalar product and properties of orthogonal and selfadjoint operators and *to find the Jordan canonical form.
- Key topics
- Affine geometry: affine spaces and subspaces, affine geometry and affine mappings. Bilinear and quadratic forms: definition, matrix with respect to given basis, diagonalization, signature. Euklidean geometry: orthogonal projection, distance and deviation of affine subspaces. Linear operators: invariant subspaces, eigenvalues and eigen vectors, charakteristic polynomial, algebraic and geometric multiplicity of eigenvalues, conditions for diagonalization. Linear models, Markov processes, Leslie populatrion model. Ortogonal and unitar operators: definition and basic properties, eigenvalues, geometric meaning. Selfadjoint operators: adjoint operator, symmetric and hermitian matrices, spectral decomposition. Jordan canonical form: nilpotent endomorphisms, root subspaces, computations. Singular value decomposition, QR decomposition, pseudoinverse matrix.
- Study resources and literature
- PAVOL, Zlatoš. Lineárna algebra a geometria (Linear algebra and geometry). Bratislava: Albert Marenčin PT, s.r.o., 2011, 741 pp. ISBN 978-80-8114-111-9. info
- PASEKA, Jan and Pavol ZLATOŠ. Lineární algebra a geometrie I. Elportál. Brno: Masarykova univerzita, 2010. ISSN 1802-128X. URL info
- Slovák, Jan. Lineární algebra. Učební texty. Brno:~Masarykova univerzita, 1998. 138. elektronicky dostupné na http://www.math.muni.cz/~slovak.
- Approaches, practices, and methods used in teaching
- Lectures and exercises (tutorials).
- Method of verifying learning outcomes and course completion requirements
- Exam: written and oral. Requirements for the exam: to obtain 50% of points from 6 tests written during semester. Requirements: to manage the theory from the lecture, to be able to solve the problems similar to those from exercises
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
Information on completion of the course: ukončení zápočtem možné pouze rozhodnutím učitele
The course is taught annually.
Credit evaluation note: 2 kr. zápočet. - Listed among pre-requisites of other courses
- E6020 Advanced Machine Learning
E1234&&M1110&&M1110B&&M2110&&M2110B&&M1100&&M1100B&&M2100&&M2100B&&M3121&&M4122&&E0034&&E8600 - M3130 Linear Algebra and Geometry III
M2110 - M4190 Differential Geometry of Curves and Surfaces
(M2110 && (M1100 || M1100F))||M3501 - M5160 Ordinary Differential Equations I
M3100 && M2110 - M6170 Complex Analysis
(M3100 || M4502 || M3100F ) && M2110
- E6020 Advanced Machine Learning
- Teacher's information
- http://www.math.muni.cz/~cadek
The exam consists of three parts: 1. Semester-long component: You need to score at least 50% of the points in 6 short written tests. 2. Written exam during the exam period: The written exam consists of a numerical and a theoretical part. Students who pass both parts of the written exam proceed to the oral exam. 3. Oral exam: During the oral exam, you will be required to demonstrate understanding of the topics covered and the ability to illustrate the concepts and theorems with examples. Additional notes: The exam is designed to test your understanding of the material, not your ability to memorize definitions. You are encouraged to ask questions during lectures and tutorials if you do not understand something. There are many resources available to help you prepare for the exam, including the textbook, lecture notes, and online resources.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2026/M2110