PřF:MDA202 Mathematics IV - Course Information
MDA202 Mathematics IV
Faculty of ScienceSpring 2025
- Extent and Intensity
- 0/0/0. 8 credit(s). Type of Completion: zk (examination).
Asynchronous teaching - Teacher(s)
- doc. Dr. Ioannis Chrysikos (lecturer)
doc. RNDr. Michal Veselý, Ph.D. (lecturer) - Guaranteed by
- doc. RNDr. Michal Veselý, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Prerequisites
- MDA101 + MDA102
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Data Analytics (programme PřF, B-DAE)
- Course objectives
- The fourth 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 mathematics approach.
- Learning outcomes
- discrete mathematics approach to understanding and solving problems;
graph theory based algorithms and their complexity;
basic orientation in selected application areas - Syllabus
- elements of graph theory (basic concepts and categories of graphs, connectivity - 4 weeks);
selected basic graph based algorithms - 4 weeks;
intro to computational geometry (3 weeks);
selected elements of combinatorics (2 weeks)
- elements of graph theory (basic concepts and categories of graphs, connectivity - 4 weeks);
- Literature
- Jan Slovák et al, Brisk Guide to Mathematics, www.math.muni.cz/~slovak/BG.pdf, Chapter 13
- 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 assignements during the semester, including peer to peer reviews; active presentation of some homeworks to the lecturer/tutor; oral exam
- Language of instruction
- English
- Study support
- https://is.muni.cz/auth/el/sci/jaro2025/MDA202/index.qwarp
- Further comments (probably available only in Czech)
- Study Materials
- Teacher's information
- https://is.muni.cz/auth/el/sci/jaro2025/MDA202/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/jaro2025/MDA202/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/spring2025/MDA202