This course covers how to design and manage operations in production and service operations. Subjects covered are process design, strategic operations, forecasting, aggregate planning, inventory management, facilities planning and logistics, scheduling, and other principles of Industrial Management.

This course covers essential probability and statistics concepts for decision analysis, as well as Bayesian decision theory, game theory, and utility theory.

Risk assessment and management is the identification, analysis, and prioritization of risks; as well as the coordinated treatment of risk to prevent, minimize, monitor, and control the probability and/or impact of undesirable events and consequences. Areas covered include the principles and applications of risk assessment and management in the context of engineering management and systems engineering. This course is about the systematic approach to the management of risk as applied to engineering, operations, and management decisions Students will be prepared to function in a business environment, developing an awareness of the challenges, the tools, and the process of designing and implementing risk assessment and management strategies.

This course covers supply chain strategy, the role of information in supply chains and the bullwhip effect; network design in a supply chain; transportation network problem; routing in supply chains; sourcing; risk pooling; incentives in the supply chain, and global supply chain management.

This course covers random number generation, random variety generation, components of discrete event and agent-based simulation, learning simulation software, and the simulation of simple systems: queuing, inventory, manufacturing, QC, transportation, layout.

This course introduces the concepts, principles, tools and techniques of Lean management theory, such as workplace organization, pull production, cellular arrangement and layout improvement, visual management, quick change, mistake reduction, and approaches for achieving and sustaining successful lean transformations. Examples and case studies will be used to illustrate the implementation of Lean in production operations.

This course covers data analysis, Metrology, multivariate analysis and applications using R language. 

This course covers equivalence and interest formulas, real-world transactions, present worth analysis, annual equivalent worth, rate of return analysis, depreciation, inflation, and cost/benefit ratio.

This course covers topics on organization structures, project manager-line manager interface, manager’s role as planning agent, skill requirements for project manager, management functions, team building as an ongoing process, concurrent engineering as a PM approach, TQM as a PM approach, effective team communication and communication traps, project communication, effective time management, managing conflicts and conflict resolution, ethics obligation matrix and ethics for project managers, project planning, project time management, activity planning, CPM scheduling, and resource allocation. Course includes a team project to plan and schedule the implementation of a selected project.