FI:IV131 DIMEA Laboratory Seminar - Course Information

IV131 Seminar of Discrete Methods and Algorithms Laboratory

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).
In-person direct teaching

Teacher(s)

prof. RNDr. Petr Hliněný, Ph.D. (lecturer)
Mgr. Marek Filakovský, Ph.D. (lecturer)
Mgr. Jan Grebík, Ph.D. (lecturer)

Guaranteed by

prof. RNDr. Daniel Kráľ, Ph.D., DSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics

Timetable of Seminar Groups

IV131/GrGeom: Wed 19. 2. to Wed 14. 5. Wed 10:00–11:50 A321, P. Hliněný
IV131/PoissonProcesses: No timetable has been entered into IS. M. Filakovský, J. Grebík, P. Hliněný
IV131/TDA_Introduction: Wed 19. 2. to Wed 14. 5. Wed 14:00–15:50 MS1,01016, except Wed 19. 3. ; and Wed 19. 3. 14:00–15:50 A417, M. Filakovský

Prerequisites

SOUHLAS
The enrollment must be approved by one of the heads of the laboratory.

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

• Discrete algorithms and models (programme FI, N-TEI)
• Formal analysis of computer systems (programme FI, N-TEI)
• Informatics (programme FI, B-INF) (2)
• Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
• Principles of programming languages (programme FI, N-TEI)

Course objectives

After the successful completion of the course students will have - experience with independent work with scientific text - ability to use the acquired knowledge and information to formulate and prove their own statements - skills to present the research results in English.

Learning outcomes

Upon completion, the student will be have a deep knowledge of a selected topic concerning discrete algorithms or discrete mathematics.

Syllabus

• Self-study of scientific publications and their presentation to other members of the laboratory, analysis of possible approaches to improve the presented results.

Teaching methods

Self-study, presenting.

Assessment methods

Students are evaluated according to their presentation performance.

Language of instruction

Czech

Further Comments

Study Materials
The course is taught each semester.

• Enrolment Statistics (recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2025/IV131