2023/2024
Современные методы принятия решений
Статус:
Маго-лего
Когда читается:
3, 4 модуль
Охват аудитории:
для всех кампусов НИУ ВШЭ
Язык:
английский
Кредиты:
6
Контактные часы:
60
Course Syllabus
Abstract
This course is a required foundational course for masters’ students in “Data Science” program, designed to familiarize them with the most recent methods of decision making. The course is divided into two parts. The first part tells about how a person makes decisions and covers the following topics: mathematical modelling, genetic algorithms, multi-criteria optimization. The second part of the course covers topic which explain how AI makes decisions or in more details how human makes decisions with a help of AI. The set of topics considered in this part of the course: multi-agent systems, prompt engineering, theoretical and informational foundations of machine learning.
Learning Objectives
- The course gives students an important foundation to tackle real-life problems using classical applied math approaches as well as with a help of AI.
Expected Learning Outcomes
- Learn how formulate a basic mathematical model for a problem presented in text form.
- Learn some basic genetic algorithms and how to use the for solving optimization problems.
- Learn main principals of prompt engineering
- Learn how to formulate and solve basic multi-criteria optimization problem.
Course Contents
- Mathematical modeling
- Genetic algorithms
- Multi-criteria optimization
- Multi-agent systems
- Prompt engineering
- Theoretical and informational foundations of machine learning
