Курс на Stepik
Обложка курса «Optimization Methods» на Stepik
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Optimization Methods 4.000

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The course "Optimization Methods" will introduce you to the basic methods for numerically calculating the maxima and minima of various types of functions. The course includes 4 main topics: one-dimensional optimization, multi-dimensional optimization without constraints, multi-dimensional optimization with constraints, and linear optimization.Classes consist of 9 lectures and 6 laboratory works. You will also have the opportunity to collectively discuss and comment on scientific articles.

Показатель Текущие показатели Рост
Значение 🏆 Рейтинг 3 дн 7 дн 30 дн
Количество учеников на курсе «Optimization Methods»Учеников на курсе 218
Сертификаты, выданные на курсе «Optimization Methods»Сертификатов выдано 0
Отзывы о курсе «Optimization Methods»Отзывов получено 1
Рейтинг курса «Optimization Methods»Рейтинг курса 4.000
Уроки в курсе «Optimization Methods»Количество уроков 18
Тесты в курсе «Optimization Methods»Количество квизов 24
Время прохождения курса «Optimization Methods»Время прохождения курса
Обновления курса «Optimization Methods»Обновления курса
Дата публикации курса «Optimization Methods»Дата публикации курса
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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

The course "Optimization Methods" will introduce you to the basic methods for numerically calculating the maxima and minima of various types of functions. The course includes 4 main topics: one-dimensional optimization, multi-dimensional optimization without constraints, multi-dimensional optimization with constraints, and linear optimization.Classes consist of 9 lectures and 6 laboratory works. You will also have the opportunity to collectively discuss and comment on scientific articles.

Для кого этот курс

The course is designed for undergraduates of technical universities, as well as technical specialists with a basic technical or mathematical education.

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.

Нагрузка

4-5 hours per week

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