BAI, Yun - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Fall 2023-24 Summer 2023-24 Spring 2021-22 Winter
2023-24 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This postgraduate level course aims to introduce practical modeling methods based on theories and principles in applied mathematics, operations research, and management science for solving the planning, design and evaluation of complex transportation systems, including both passenger logistics and freight distribution systems. This course will cover the three major aspects: inventory management, network design and flow optimization, as well as facility location in a logistical system. It introduces fundamental concepts, model formulation, optimization techniques, as well as solution algorithms (including stochastic process, network/graphic representation, classic OR problems, formulation of optimization problems, exact solution methods, meta heuristics, continuous approximation, etc.). It will also cover practical solution approaches that reduce cumbersome details of transportation systems into models with a manageable number of parameters and decision variables. A variety of perspectives and techniques to both classic problems and recent advances will be presented along with ways to compare their performance.

VECTOR

[3-0-0:3]

DESCRIPTION

This postgraduate level course aims to introduce practical modeling methods based on theories and principles in applied mathematics, operations research, and management science for solving the planning, design and evaluation of complex transportation systems, including both passenger logistics and freight distribution systems. This course will cover the three major aspects: inventory management, network design and flow optimization, as well as facility location in a logistical system. It introduces fundamental concepts, model formulation, optimization techniques, as well as solution algorithms (including stochastic process, network/graphic representation, classic OR problems, formulation of optimization problems, exact solution methods, meta heuristics, continuous approximation, etc.). It will also cover practical solution approaches that reduce cumbersome details of transportation systems into models with a manageable number of parameters and decision variables. A variety of perspectives and techniques to both classic problems and recent advances will be presented along with ways to compare their performance.

INTR 5400 - Logistics Systems Analysis: Modeling, Optimization and Algorithms (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6120)	22-JAN-2024 - 03-APR-2024 Th 09:00AM - 11:50AM	Rm 148, E1	BAI, Yun	40	7	33	0
L01 (6120)	04-APR-2024 - 10-MAY-2024 Th 09:00AM - 11:50AM	Rm 201, E3	BAI, Yun	40	7	33	0