Study programmes
Mathematical Modelling
Study program:
Mathematical Modelling
SP code:
B0541A170013
Study form:
full-time
Study type:
Bachelor's
Standard duration of study in years:
3
Language of instruction:
English
Title:
Bc.
Title:
No
More details
SP name in Czech:
Matematické modelování
SP name in Latin:
Exemplaria mathematica
SP profile:
academically oriented
SP characteristics
One of the features of modern society is interlinking of various areas of human expertise. The transfer of knowledge and skills between different areas often leads to unprecedented development (in medicine, physics, chemistry or biology). A goal of the study programme Mathematical Modeling is to raise students trained in critical thinking and capable of connecting seemingly different scientific fields. The student will gain solid understanding physical principles of natural phenomena and their mathematical formulation as well as subsequent numerical solution of the acquired mathematical equations. Such a combination of mathematics, physics and computer science, in which Faculty of Mathematics and Physics, Charles University, has sound tradition, is exceptional in the global sense. Graduates will be able to continue in follow-up study Master programmes both in the Czech Republic or abroad, or they are supposed to find good positions for instance in technological or IT companies.
More details
Graduate profile for the public:
For understanding complex physical, chemical or even social systems, it is necessary to describe the studied phenomena by means of a mathematical model. It should be then possible to predict evolution of such systems. Mathematical modeling consists of three steps. Firstly, important phenomena are identified and analyzed. Secondly, a mathematical model is created based on the analysis, and finally the acquired mathematical equations are solved by means of analytical or computer techniques. Students will master all these skills.
Students will be able to understand and choose from a wide range of areas, for instance modeling of sophisticated physical experiments, modeling in engineering, chemical-engineering, or even modeling of statistical and biological systems. Of critical importance will be understanding and mastering mathematical tools necessary for formulation and analysis of the models and subsequent numerical solution using contemporary computer methods. Such synergy of physics, mathematics and computer science is rare in the global sense.
The student gains thorough training in critical thinking, analysis of complex problems and in subsequent mathematical formulations. This results in her/his abilities of using suitable mathematical, physical and computer methods for finding answers to raised questions and for prediction of behavior of the studied systems. Consequently, the graduates can eventually choose between following master programmes in mathematics or physics or entering into the commercial sector (companies focused on simulations and numerical solutions, technological firms, consultancy, financial institutions, IT, etc.).
Students will be able to understand and choose from a wide range of areas, for instance modeling of sophisticated physical experiments, modeling in engineering, chemical-engineering, or even modeling of statistical and biological systems. Of critical importance will be understanding and mastering mathematical tools necessary for formulation and analysis of the models and subsequent numerical solution using contemporary computer methods. Such synergy of physics, mathematics and computer science is rare in the global sense.
The student gains thorough training in critical thinking, analysis of complex problems and in subsequent mathematical formulations. This results in her/his abilities of using suitable mathematical, physical and computer methods for finding answers to raised questions and for prediction of behavior of the studied systems. Consequently, the graduates can eventually choose between following master programmes in mathematics or physics or entering into the commercial sector (companies focused on simulations and numerical solutions, technological firms, consultancy, financial institutions, IT, etc.).
Related accreditations
| Faculty | Name of the study program | Language of instruction | Study form |
|---|---|---|---|
| Matematicko-fyzikální fakulta | Matematické modelování | 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:
- Mathematics
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. Mgr. Vít Průša, Ph.D.
Study plans
No related study plans have been found
Plans according to accreditation:
full-time study form with language of instruction English
Instruction
Admission procedure requirements:
Can be studied in combination
No combinations have been found