Postgraduate Courses

This course covers the basic principles and different techniques for technical management. Topics include project management, planning and control, staffing, organization, leadership and various techniques required to run a program effectively and efficiently.

This course covers production planning, production system design, and production control. Topics include MRP, JIT, forecasting techniques, inventory control, shop floor control and scheduling.

This course covers models and techniques for various planning and operational problems in logistics and transportation systems. Topics include logistics operations, distribution planning, vehicle routing, crew scheduling, network design, traffic equilibrium, and fleet management.

The course covers the various concepts and principles of quality management including Total Quality Management (TQM). First, basic quality engineering methods and tools will be covered before introducing the framework of TQM. TQM as a corporation reengineering tool for the simultaneous improvement of quality, cost, customer satisfaction and time to market will be discussed. Following this, different techniques and methodologies of implementation of TQM that include Six Sigma, SPC, ISO 9000, reliability, concurrent engineering, QFD, and design of experiments will be covered.

This course covers different aspects of product development management. Topics include innovation management, techniques for idea generation, QFD for incorporation of customers' needs in product design, and organizing and managing the development team. Projects and business plans will be carried out in the course.

The course introduces the basic concepts and principles in global supply chain management, provides insights into issues involved in the design and planning of a supply chain, and equips students with fundamental skills for analyzing and managing supply chains. The topics to be covered in the course include supply chain uncertainty and risk management, information distortion, supply chain coordination and integration, logistics networks and outsourcing strategy.

Basic knowledge and design of IT will be covered. Popular enterprise resource planning software packages are used for discussing and building integrated business solutions.

The course introduces the basic concepts of probability including conditioning and Bayes formula. In-depth study on a variety of widely used common distributions such as Binomial, Poisson, Exponential, LogNormal, Pareto, etc. will be covered to deepen our understanding of randomness. Building on the understanding of probability and random samples, the course teaches three important statistical tools: estimation, hypothesis test and regression. Excel Data Analysis ToolPak will be taught and used in class. However, understanding the core statistical concept makes adapting to other tools easy. The focus of this course is application and real world skill, however a minimal amount of mathematics will be needed to understand the concept and theory.

The course has two parts. The first part focuses on applications of microeconomics to engineering and managerial decision making. Topics in this part include basic cash flow analysis of capital investment, net present value, rate of return, capital budgeting and cost accounting. The second part focuses on cost management for engineering enterprises. Topics in this part include basic concepts of uncertainty and risk, decision trees, cost measurement and cost hedging.

This course will expose students to the diversified service industries and equip them with knowledge and skills of improving productivity and quality of service firms. Students will learn the latest concepts, techniques, and methodologies in service system design, service level, quality of service, service product life cycle, measurements, design for serviceability, analysis, productivity in services, client satisfaction, training, and services logistics. They will also learn how to apply the knowledge to decision making in planning, organizing, and managing service operations.

This course covers fundamental and important aspects in financial engineering and risk management. Topics include concepts and practices of financial risk management, modeling of financial markets, interest rates, various derivative securities, derivatives pricing, risk hedging strategies, and risk measures.

This course aims to stimulate new ideas and provide opportunities for group bonding, team and self development, based upon participative learning. It enhances students on team management, communication, organization, planning, decision making and outcome. Graded P or F.

Selected topics of current interest in Engineering Enterprise Management.

An Independent study carried under the supervision of a faculty member.