Time Schedule:
Ahmed Abdel Aziz
CM 515
Seattle Campus
Examination of innovative techniques for planning and managing construction projects including use of time-phased, three-dimensional Building Information Models; sustainable construction techniques; and web-based project management tools. Offered: Sp.
Class description
This course presents the concepts and aspects of privatized infrastructure and capital investment projects in terms of project delivery systems, feasibility studies, project financial and economic modeling, and quantitative risk analysis techniques (statistical moment analysis and Monte Carlo simulation). The scope of work will be in large engineering projects, e.g. highways and bridges. Real-world case studies along with publications from the World Bank and UNDIO will be explained.
Student learning goals
General method of instruction
Lectures with PPT presentations; examples and case studies, homework; exams.
Recommended preparation
There are three parts to the course: (1) project delivery systems in which emphasis is placed on public-private partnership projects (e.g. Build-Operate-Transfer) - reading in World Bank, UNIDO, and ASCE articles will be a major support for success in this part. (2) financial/economic modeling of projects - ability to model all different types of expenditures and revenues in a project's life cycle will be key in forming project model. Instructor handouts will be key to success in this part. (3) quantitative risk analysis of projects - in this part different techniques will be explain on how to quantify the uncertainty of project variables and performance measures. Key to success in this part is the reading through the recommended reading that will be given along with instructor's handouts; further practice in solving the homework will be major step in the success of this part.
Class assignments and grading
The assignments will address the three parts of the course; qualitative to address the reading comprehension of the delivery systems and quantitative to address the modeling and risk analysis of projects. Excel, @Risk and MathCAD will be used in solving the assignments.
Numerical grade as a University requirement
