PřF:M1110 Linear Algebra I - Course Information
M1110 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)
- prof. RNDr. Jan Paseka, CSc. (lecturer)
Mgr. Jiří Janda, Ph.D. (assistant) - 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. Mon 14:00–15:50 M1,01017
- Timetable of Seminar Groups:
M1110/02: Mon 18. 9. to Fri 15. 12. Fri 10:00–11:50 M1,01017, J. Paseka - Prerequisites
- !OBOR(AMV) && !OBOR(FINPOJ) && !OBOR(BIMAT) && !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
- Mathematics (programme PřF, B-MA)
- Statistics and Data Analysis (programme PřF, B-MA)
- 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.
- Affine subspaces.
- Systems of linear equations.
- Determinants
- Vector spaces with scalar product.
- Literature
- Zlatoš P.: Lineárna algebra a geometria, připravovaná skripta MFF Univerzity Komenského v~Bratislavě, elektronicky dostupné na http://thales.doa.fmph.uniba.sk/katc/
- HORÁK, Pavel. Úvod do lineární algebry. 3. vyd. Brno: Rektorát UJEP Brno, 1980, 135 s. info
- Anton H., Rorres.C.: Elementary Linear Agebra, 8th edition, Application Version, Wiley, 2000, ISBN 0471170526.
- ŠMARDA, Bohumil. Lineární algebra. Praha: Státní pedagogické nakladatelství, 1985, 159 s. info
- ŠIK, František. Lineární algebra zaměřená na numerickou analýzu. Vyd. 1. Brno: Masarykova univerzita v Brně, 1998, 177 s. ISBN 8021019662. info
- Slovák, Jan. Lineární algebra. Učební texty. Brno:~Masarykova univerzita, 1998. 138. elektronicky dostupné na http://www.math.muni.cz/~slovak.
- HORÁK, Pavel. Algebra a teoretická aritmetika. 2. vyd. Brno: Rektorát Masarykovy univerzity, 1991, 196 s. ISBN 8021003200. info
- Teaching methods
- Lectures: theoretical explanation with practical examples. Exercises: solving problems for understanding basic concepts and theorems, contains also more complex problems, homework. Students will be asked to have an active participation at seminars or to obtain 40 % of possible points from two written tests (8 from 20).
- Assessment methods
- Lecture 2 hours a week, seminar 2 hours a week. Examination written and oral. To access the examination one has to pass exercises. The examination has 3 parts. 1. part: During the semester, two obligatory mid-term exams are evaluated (each for max 10 points, 50 minutes long). Student may collect during the semester maximally 20 points. 2. part: If the student is able to pass exercises he may proceed to the final examination. This examination starts with a written exam that consists of 2 parts - theoretical (20 points) and practical (30 points). 3. part: Oral examination (30 points). Requirements: to manage the theory from the lecture, to be able to solve the problems similar to those from exercises. Evaluation (points <= 49 - F, 49 < points <= 59 - E, 59 < points <= 69 - D, 69 < points <= 79 - C, 79 < points <= 89 - B, 89 < points <= 100 - A).
- 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 - FI:MB153 Statistics I
(MB151 || MB152 || PřF:M1110 || PřF:M1100) && !NOW(MB143) - FI:MB154 Discrete mathematics
MB151 || MB152 || PřF:M1110 || PřF:M1100
- M2110 Linear Algebra and Geometry II
- Enrolment Statistics (autumn 2017, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2017/M1110