Exercise in Mathematical Programming

Course Purpose
The purpose of this practical training course is for students to obtain knowledge, skills, and ability to apply various theories such as optimization theory, graph theory, and queueing theory to practical problems and finding solutions to problems.
Learning Goals
The student will obtain knowledge, skills, and ability to apply various theories such as optimization theory, graph theory, and queueing theory to practical problems and finding solutions to problems.
Topic
Session 1Guidance, optimization problem (1) (Linear programming problem, nonlinear programming problem, integer programming problem and how to solve it)
Session 2Optimization problem (2) (Modeling using optimization problem)
Session 3Optimization problem (3) (Modeling using optimization problem)
Session 4Optimization problem (4) (various algorithms and their applications)
Session 5Queue and system performance analysis (1) (Development of M / M / 1 simulator)
Session 6Queue and system performance analysis (2) (Development of M / M / c simulator)
Session 7Queue and system performance analysis (3) (Performance evaluation by queuing simulation)
Session 8Inventory management (1) (Various inventory management problems)
Session 9Inventory management (2) (Inventory management method and inventory simulator development)
Session 10Exercises on optimization, queues, and inventory management
Session 11Project research (1) (theme setting)
Session 12Project research (2) (simulation / numerical experiment)
Session 13Project research (3) (preparation for presentation)
Session 14Project research (4) (project research presentation)
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊