Mathematical Models

Level: Master

Semestre: 2nd

ECTS: 5

Working Hours: 
- Lectures: 32
Practice Work: 32
- Exam: 36
- Self-study: 80
- Total: 180

Language of Instruction: English, Russian

Author of the Course: Andrey A.Bart

Lecturers: Andrey A. Bart, Vladislava V. Churuksaeva
Objectives: 
- Studying complementary chapters of mathematical analysis;
- Extremely high activation of students' self-tuition.         
 
Learning Outcomes:
- know basic stages of constructing mathematical models;
be able to describe objects and statements of a knowledge domain;
master methods of describing objects and patterns of a subject domain;
know urgent and important problems of fundamental and applied mathematics;
be able to solve urgent problems of applied mathematics;
master methods of solving urgent and significant problems of fundamental and applied mathematics;
know the basic stages and principles of constructing mathematical models;
be able to compare the results of numerical simulation with data of instrumental measurements and results of other authors;
master methods of constructing and analysing new mathematical models of physical and biological processes;
know the place of mathematical modeling among the methods of scientific cognition;
be able to apply methods of mathematical modeling to research work;
master methods of mathematical modeling in research work;
know the main stages of research and production work;
be able to write a requirements specification for research and production work;
know the rules and types of public presentation of scientific results;
be able to clearly and reasonably express their own thoughts;
master mathematical concepts and vocabularies of subject domains when presenting scientific results;
know modern computer architectures;
be able to use modern libraries for high-performance computing;
master methods of constructing algorithms implementing modern numerical methods.
 
Assessment Methods:
Written and Oral Tests, Individual Task, Project, Oral Exam.