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
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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.
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