PřF:MDA101 Mathematics I - Course Information
MDA101 Mathematics I
Faculty of ScienceAutumn 2024
- Extent and Intensity
- 0/0/0. 12 credit(s). Type of Completion: zk (examination).
Asynchronous teaching - Teacher(s)
- doc. Dr. Ioannis Chrysikos (lecturer)
prof. RNDr. Jan Slovák, DrSc. (lecturer) - Guaranteed by
- prof. RNDr. Jan Slovák, DrSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Prerequisites
- no prerequisites
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- Basic introductory course of the Mathematics block of the programme. The five courses aim at the development of basic skills and knowledge in all four main approaches: algebraic, geometric, combinatorial, and infinitesimal, as well as the ability to enjoy computer-assisted solutions to problems. This course focuses on discrete tools and matrix calculus, as well as analytic geometry.
- Learning outcomes
- mathematical approach to deductive thinking;
proper formulation of mathematical concepts and results;
matrix calculus and linear algebra and their simple applications;
distinguishing between claims and proofs;
computer assisted approach to simple discrete modelling - Syllabus
- overview of basic concepts of Mathematics (combinatorial, algebraic, geometric, the language of Mathematics - 4 weeks);
elements of linear algebra and geometry (3 weeks);
matrix calculus and applications (intro to linear programming, difference equations, iterative models, spectral matrix theory - 3 weeks);
analytic geometry (affine, Euclidean and projective geometries, multilinear calculus - 3 weeks)
- overview of basic concepts of Mathematics (combinatorial, algebraic, geometric, the language of Mathematics - 4 weeks);
- Literature
- Jan Slovák et al, Brisk Guide to Mathematics, www.math.muni.cz/~slovak/BG.pdf, Chapters 1-4
- Ioannis Chrysikos et al, Script Project in Sage, available online, in preparation
- Teaching methods
- essentially asynchronous approach, based on introductory short presentations plus homework assignments, complete pdf materials, and Sage/Matlab supported tutorials;
complemented by synchronous communication with the tutor upon agreement - Assessment methods
- weekly homework assignments during the semester, including peer to peer reviews;
active presentation of some homeworks to the lecturer/tutor;
one short synchronously written assignments during the term;
one final synchronously written assignment, followed by colloquial discussions/exams in small groups - Language of instruction
- English
- Follow-Up Courses
- Study support
- https://is.muni.cz/auth/el/sci/podzim2024/MDA101/index.qwarp
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
The course is taught: every week. - Teacher's information
- https://is.muni.cz/auth/el/sci/podzim2024/MDA101/index.qwarp
The full information on study aid is collected in the interactive syllabi of the course, see https://is.muni.cz/auth/el/sci/podzim2024/MDA101/index.qwarp -- the study aid is dynamically completed during the semester, following the needs and feedback of the students, it is mainly based on texts, videos, home work assignements, code illustrative examples etc.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2024/MDA101