Study programmes
Computer Science - Discrete Models and Algorithms
Study program:
Computer Science - Discrete Models and Algorithms
SP code:
N0688A140010
Study form:
full-time
Study type:
Master's (post-Bachelor)
Standard duration of study in years:
2
Language of instruction:
English
Title:
Mgr.
Title:
Yes - RNDr.
More details
SP name in Czech:
Informatika - Diskrétní modely a algoritmy
SP name in Latin:
Exemplaria discreta atque algorithmorum theoria
SP profile:
academically oriented
SP characteristics
The study branch Discrete models and algorithms offers wide education in theoretical and mathematical fundaments of computer science. Student obtains knowledge in the area of discrete models and related algorithmic and data techniques and various mathematical methods for their design. The study familiarizes the student both with the last results on discrete models, algorithms and optimization, and with possibilities and limitations in solving related algorithmic questions. The student acquires thorough mathematical knowledge necessary for analysis and design of discrete models and algorithms. The student can apply his or hes skills in practice or can continue in the Ph.D. study of computer science or related areas.
More details
Graduate profile for the public:
The graduate is familiar with modelling by means of discrete structures, and also with the practical algorithmic aspects. The graduate understands models of computation and their relations and knows limits of effective computing. She or he has knowledge on
algorithmical techniques and data structures. Has awareness of some optimization techniques and results.
The graduate familiarized during her or his study with mathematical approaches to discrete models and algorithms. This, besides the ubiquitous combinatorics and discrete mathematics, includes geometric, topological, algebraic, number-theoretic, logical, and,
last but not least, probabilistic methods. The graduate can asses applicability of these methods to particular discrete model. She or he can follow last research trends in the area.
The graduate can work in analyzing and planning discrete models, and in their algorithmic implementation and in development corresponding technologies. He or she can work in top companies and institutions investigating and developing new technologies, analyzing data or modelling real processes (finances, logistics, economy etc.). He or she is prepared for further Ph.D. study of computer science in domestic institutions or abroad.
algorithmical techniques and data structures. Has awareness of some optimization techniques and results.
The graduate familiarized during her or his study with mathematical approaches to discrete models and algorithms. This, besides the ubiquitous combinatorics and discrete mathematics, includes geometric, topological, algebraic, number-theoretic, logical, and,
last but not least, probabilistic methods. The graduate can asses applicability of these methods to particular discrete model. She or he can follow last research trends in the area.
The graduate can work in analyzing and planning discrete models, and in their algorithmic implementation and in development corresponding technologies. He or she can work in top companies and institutions investigating and developing new technologies, analyzing data or modelling real processes (finances, logistics, economy etc.). He or she is prepared for further Ph.D. study of computer science in domestic institutions or abroad.
Related accreditations
| Faculty | Name of the study program | Language of instruction | Study form |
|---|---|---|---|
| Matematicko-fyzikální fakulta | Informatika - Diskrétní modely a algoritmy | čeština | prezenční |
Teaching provided by
Faculty:
- Faculty of Mathematics and Physics (MFF) https://www.mff.cuni.cz
Cooperating institutions:
No
More details
Foreign university joint diploma type:
No
External department:
No
Classification
Area of education:
- Informatics
SP structure
Specialisation:
No
Double-curriculum study:
No
Data for persons with disabilities
Contact person for persons with disability:
Mgr. Lukáš Krump, Ph.D.
Web page for persons with disability:
Further information about the study of persons with disability:
Personal provision
Garant SP:
- doc. RNDr. Martin Klazar, Dr.
Study plans
Plans according to accreditation:
full-time study form with language of instruction English
Instruction
Admission procedure requirements:
Study programme (branch) is open for applicants for the academic year
2026/2027:
- Faculty of Mathematics and Physics - Admission procedure requirements
Admission procedure requirements in the acaademic year
2025/2026:
- Faculty of Mathematics and Physics - Admission procedure requirements
Can be studied in combination
No combinations have been found
