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Level: Master Semestre: 3rd ECTS: 4 Working Hours:
- Lectures: 16
- Labs: 16
- Self-study: 112
- Total: 144
Language of Instruction: English (Russian) Author of the Course: Alexander Starchenko, Doctor of Science, Professor Lecturers: Alexander Starchenko, Doctor of Science, Professor
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Objectives:
- Mastering on methods of solving ill-posed problems;
- Mastering the ideology of developing parallel algorithms based on sequential algorithms;
- Acquisition of skills for obtaining theoretical estimates of the effectiveness of known or newly created algorithms for solving ill-posed problems.
Learning Outcomes:
- To know the basic approaches to creating computational algorithms for solving ill-posed problems and how to implement them on personal computers and being able to formulate and analyze the result;
- To be able to quickly understand the task, to use the language of the subject area correctly, to form a mathematical model, to choose the method of model resolution reasonably, to formulate the result clearly;
- To master the methodology of performing the stages of scientific activity in solving ill-posed problems.
Assessment Methods:
- The current control of mastering the discipline includes two lab reports. The final control – exam.
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