Applied Quantitative Logistics

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

6

Кредиты

Кто читает:

Департамент анализа данных и искусственного интеллекта

Статус:

Курс по выбору

Когда читается:

1-й курс, 3, 4 модуль

Преподаватель

Сохраби Маджид

Course Syllabus

Abstract

This course covers chapters from Discrete Mathematics, Game Theory, and Epistemic Logics to find market equilibriums and handle uncertainty. Programming skills are very important for this course. It also includes basic quantitative logistics models and algorithms for Allocation, Transportation, and Vehicle Routing Problems including the sensitivity and stability analysis applied to the Minimum Spanning Tree Problem (MSTP) and its variations, Shortest Path, Traveling Salesman and Vehicle Routing Problems (Capacitated, Time Windows, Pick Up and Delivery, etc.), Preempted Single Machine Scheduling Jobs (Operations) with Arbitrary Processing Times, Release and Due Dates will be studied in this course.