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Course Syllabus

2024/2025

Applied Quantitative Logistics

Type: Mago-Lego
Delivered by: School of Data Analysis and Artificial Intelligence
When: 3, 4 module
Open to: students of one campus
Instructors: Majid Sohrabi
Language: English
ECTS credits: 6

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.