Бакалавриат 2025/2026

Математическое и имитационное моделирование

Статус: Курс по выбору (Программная инженерия)

Кто читает: Департамент программной инженерии

Когда читается: 4-й курс, 1-3 модуль

Охват аудитории: для всех кампусов НИУ ВШЭ

Преподаватели: Родригес Залепинос Рамон Антонио

Язык: английский

Контактные часы: 60

Course Syllabus

Abstract

Models are often built to answer “WHAT–IF” questions with less cost, time, and effort compared to the physical implementation of real changes or the construction of real objects. For example, “Will the traffic density on the road likely decrease by about 25% IF we add a second lane?”. To verify the hypothesis, we do not construct a lane, which is costly, time-consuming, and may not decrease the traffic density at all. Mathematical and Simulation Modeling is vital for computer science, biology, epidemiology, business, technology, network theory, economics and social sciences, management of resources, self-driving cars, physics, chemistry, Earth science. It is also used in music, linguistics, and psychology, to name a few. Mathematical and Simulation Modeling covers agent-based modeling, cellular automata, and computer simulation and includes model training, tuning, and evaluation. Mathematical and Simulation Modeling combines methods from statistics, machine learning, probability theory, automata theory, optimization, decision-making theory, and game theory, as well as a broad range of other mathematical and computational disciplines.