PřF:M1111 Linear Algebra I - Course Information
M1111 Linear Algebra and Geometry I
Faculty of Scienceautumn 2017
- 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. Lukáš Vokřínek, PhD. (lecturer)
doc. RNDr. Jiří Kaďourek, CSc. (seminar tutor)
Mgr. Martin Panák, 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 18. 9. to Fri 15. 12. Wed 14:00–15:50 A,01026
- Timetable of Seminar Groups:
M1111/02: Mon 18. 9. to Fri 15. 12. Tue 9:00–10:50 M2,01021, J. Kaďourek
M1111/03: Mon 18. 9. to Fri 15. 12. Thu 8:00–9:50 M4,01024, M. Čadek, M. Panák - 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 / plans 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
- Anton H., Rorres.C.: Elementary Linear Agebra, 8th edition, Application Version, Wiley, 2000, ISBN 0471170526.
- Horák, P.: Lineární algebra a geometrie 1, učební text, http://www.math.muni.cz/~horak/08j_LA_skripta.pdf
- Zlatoš P.: Lineárna algebra a geometria, připravovaná skripta MFF Univerzity Komenského v Bratislavě, elektronicky dostupné na ftp://www.math.muni.cz/pub/math/people/Paseka/lectures/LAI
- Teaching methods
- Lectures, exercises (tutorials) and homework.
- 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
- M2110 Linear Algebra and Geometry II
M1110||M1111||(FI:MB003) - M2110B Linear Algebra and Geometry II
M1110||M1111||(FI:MB003) - M5858 Continuous deterministic models I
(M1110||M1111) && (M1100||M1101||FI:MB000||M1100F)||FI:MB103||FI:MB203||MB103v||FI:MB102||M2B02 - M7190 Game Theory
M1110 || M1111 || FI:MB101 || FI:MB201 || FI:MB003
- M2110 Linear Algebra and Geometry II
- Teacher's information
- https://is.muni.cz/el/1431/podzim2012/M1111/index.qwarp
- Enrolment Statistics (autumn 2017, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2017/M1111