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IEMS 343: Project Management for Engineers


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Prerequisites

CIV_ENV 205 and IEMS 303

Description

A case study-based exploration of the body of project management knowledge.  Key topics include project scheduling, risk management, project leadership, small-group dynamics, project methodologies, lifecycle concepts, and project controls.  A Socratic approach is taken to exploring various case studies in the context of established and leading-edge project management concepts. 

  • This course is an MS elective for Industrial Engineering.

LEARNING OBJECTIVES

  • Students will know and be able to apply the basics of estimation
  • Students will know and be able to apply the basics of project scheduling and resource planning
  • Students will know and be able to apply the basics of Monte Carlo simulation as applied to project schedules
  • Students will know and be able to apply the basics of net present value calculations as applied to complex project plans
  • Students will learn the basics of risk management

 TOPICS

  • Project planning
  • Project scheduling
  • Task effort estimation
  • Monte Carlo simulation
  • Resource planning
  • Project organizations
  • Risk management and risk assessment

MATERIALS

  • Required: Project Management: the Managerial Process, Larson and Gray, 6th edition, 2014. ISBN 13: 9780072833485
  • Multiple and varied PM Case studies from Harvard Business school press

ADDITIONAL INFORMATION

The purpose of this course is to provide an overview of the field of Program Management as applied to technology intensive, product development Programs using a systems orientation. We will focus on the role of the PM as opposed to the tasks associated with the sponsor. The course will emphasize the basics of Program Management success, the basic process model, applications of Program management and certain techniques and key factors for Program success in a high risk, high technology environment. This course focuses on developing skills in estimation, project planning, resource planning, risk adjusted NPV analysis of projects in a portfolio setting.