Аспирантура
2022/2023
Современные технологии программирования
Статус:
Курс по выбору
Направление:
10.06.01. Информационная безопасность
Кто читает:
Департамент прикладной математики
Когда читается:
2-й курс, 1 семестр
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Чеповский Александр Андреевич
Язык:
русский
Кредиты:
6
Контактные часы:
56
Программа дисциплины
Аннотация
The workshop is aimed at developing practical skills in using modern computational tools for data analysis and machine learning. The seminar introduces students to the fundamentals of machine learning and provides hands-on experience with Python and Julia in the Engee environment.
As a result of mastering the course, students will learn how to prepare and analyze data, apply basic numerical and statistical methods, build and evaluate machine learning models, and interpret the obtained results. Special attention is given to the practical implementation of algorithms, visualization of data and model outputs, and comparison of approaches using different programming tools.
During the seminar, students will explore the capabilities of Python and Julia libraries for scientific computing, data processing, visualization, and machine learning. The Engee environment will be used as an integrated platform for computational experiments, model development, and analysis of results. The course combines theoretical foundations with practical assignments and research-oriented tasks, allowing students to apply machine learning methods to real-world data analysis problems.