Бакалавриат
2025/2026
Основы современной теории вероятностей
Статус:
Курс по выбору (Прикладной анализ данных)
Где читается:
Факультет компьютерных наук
Когда читается:
3-й курс, 3, 4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
4
Контактные часы:
68
Course Syllabus
Abstract
This course offers a rigorous exploration of the mathematical foundations of advanced statistical methods, designed for computer science students seeking to deepen their understanding of the theory behind key statistical tools. Students will develop expertise in techniques such as the method of moments, maximum likelihood estimation, Bayesian inference, and regression analysis, alongside a comprehensive study of confidence intervals and testing frameworks. Emphasis is placed on both theoretical rigor and practical relevance, preparing students to apply these methods to machine learning, optimization, and data science challenges.