#
PřF:M1111 Linear Algebra I - Course Information

## M1111 Linear Algebra and Geometry I

**Faculty of Science**

Autumn 2018

**Extent and Intensity**- 2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
**Teacher(s)**- doc. RNDr. Martin Čadek, CSc. (lecturer)

doc. RNDr. Jan Paseka, CSc. (lecturer)

doc. RNDr. Jiří Kaďourek, CSc. (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 17. 9. to Fri 14. 12. Wed 14:00–15:50 A,01026
- Timetable of Seminar Groups:

*J. Kaďourek*

M1111/02: Mon 17. 9. to Fri 14. 12. Tue 14:00–15:50 M2,01021,*J. Kaďourek*

M1111/03: Mon 17. 9. to Fri 14. 12. Thu 8:00–9:50 M1,01017,*M. Čadek* **Prerequisites**- ! OBOR ( OM ) && ! OBOR ( STAT ) && ! OBOR ( UM )

High School Mathematics **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 the course is directly associated with**- Applied Mathematics for Multi-Branches Study (programme PřF, B-MA)
- Financial and Insurance Mathematics (programme PřF, B-MA)
- Mathematical Biology (programme PřF, B-EXB)

**Course objectives**- Linear algebra belongs to the fundamentals of mathematical education. Passing the course, *the students will master the basic notions concerning vector spaces and linear maps, *they will be able to use the notions from linear algebra in their further study, *they will gain good computational skills with matrices and systems of linear equations.
**Learning outcomes**- Passing the course, *the students will master the basic notions concerning vector spaces and linear maps, *they will be able to use the notions from linear algebra in their further study, *they will gain good computational skills with matrices and systems of linear equations.
**Syllabus**- Vector spaces. Operations with matrices. Gauss elimination. Vector subspaces. Linear independence. Basis and dimension. Coordinates. Linear maps. Matrices of linear maps. Systems of linear equations. Determinants Affine subspaces

**Literature**- https://is.muni.cz/auth/el/1431/podzim2018/M1111/um/

**Teaching methods**- Lectures, exercises (tutorials) and homeworks.
**Assessment methods**- Short written tests during semester. Exam: written and oral. 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

The course is taught annually. **Listed among pre-requisites of other courses****Teacher's information**- https://is.muni.cz/el/1431/podzim2018/M1111/index.qwarp

- Enrolment Statistics (recent)

- Permalink: https://is.muni.cz/course/sci/autumn2018/M1111