Postgraduate Courses

Systems engineering methodology applied to the design of information systems for the management of all types of organizations. Data base management systems. Different phases of system design and implementation.

Operation mission and modern production planning and control systems. MRP, JIT , and OPT methods. Integrated processes and systems design. Software packages will be introduced through a simulated company environment.

This course focuses on the theory and the use of deterministic optimization models for real life decision making problems. It covers linear, integer, combinatorial and nonlinear programming.

Poisson processes, renewal processes, Markov processes. Fundamental concepts and applications of these stochastic processes demonstrated through examples in queueing, inventory and reliability models.

Fundamental principles of quality technology and data analytics, including planning, designing, and analyzing statistical experiments, randomized block, factorial, and fractional factorial experimental designs, and other advanced statistical learning and machine learning techniques with application to quality and industrial engineering.

The course introduces more advanced concepts of probability and statistics to postgraduate students. It will cover transformations of multivariate random variables, estimation theory, hypothesis testing, analysis of variance, and regression models. This course assumes the knowledge of multivariable calculus and statistics.

Application of ergonomic principles to the manufacturing environment. Introduction to work, workstation, tool and equipment design. Other topics include cumulative trauma disorders and their prevention, job and task analysis and lifting.

Mathematical psychology and its applications on design and decision making. Contextual inquiry and design tools. Human errors and decision models. Role prototyping and use of comics and drama to facilitate contextual design.

Modeling and algorithms for network problems in transportation systems, including shortest routing, linear and nonlinear flow problems, decomposition methods, dynamic routing strategies, traffic equilibrium, and vehicle management.

Selected topics of current interest. May be repeated for credit if different topics covered.

Selected topics of current interest. May be repeated for credit if different topics covered.

Selected topics of current interest. May be repeated for credit if different topics covered.

This one-credit course aims at providing research postgraduate students with basic training in teaching skills, research management, career development, and related professional skills. This course consists of a number of mini-workshops. Some department-specific workshops will be coordinated by Department of IELM. Graded PP, P or F.

Series of seminars by faculty and guest speakers, repeated every term. Research postgraduate students are expected to attend regularly and register for at least two terms. Graded P or F.

An in-depth study of a current research area in Industrial Engineering and Logistics Management. Offerings are announced each term. Graded P or F.

An independent research project carried out under the supervision of a faculty member. This course is only available for exchange, visiting and visiting internship students.

Selected topics in industrial engineering and engineering management studied under the supervision of a faculty member. Graded P or F. (Only one independent study course may be used to satisfy the course requirements for any postgraduate program in the Department of Industrial Engineering and Logistics Management.)

Master's thesis research supervised by a faculty member. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.

Original and independent doctoral thesis research. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.