Чему вы научитесь
- The main goal of studying the discipline "Optimization Methods" is to acquire knowledge in the field of modern technologies for developing mathematical models for finding optimal solutions, to develop skills to effectively apply methods for solving applied optimization problems, and to possess the skills of algorithmic thinking.
О курсе
Для кого этот курс
Начальные требования
To successfully study the course "Optimization Methods", students should be familiar with such disciplines as "Calculus", "Linear Algebra", "Numerical Methods".
Преподаватели курса
Как проходит обучение
Training takes place sequentially, from the topic "Introduction", then the topic "One-Dimensional Optimization", "Nonlinear Multidimensional Optimization without Constraints", "Nonlinear Multidimensional Optimization with Constraints", "Linear Programming Problems". For each topic video lectures, lectures in the form of text, laboratory work and tests are provided. Theoretical tests are checked automatically. The results of the laboratory work are checked by the teacher. Additionally, students can discuss the studied topics in special "Discussion Rooms". Also, if desired, each student can comment on three scientific articles proposed for study. At the end of the course, students can leave feedback by completing a survey.
Что вы получите
- You will gain knowledge and skills in the field of optimization that are in demand in real life.