Syllabus

Course Prerequisite: UG Level lab on Basic Computer Programming

Experiment 1: Quantity takeoff, preparation, and delivery of the bid or proposal of an engineering construction project.

Experiment 2: Design of a simple equipment information system for a construction project.

Experiment 3: Scheduling a small construction project using tools like M.S. project scheduling systems.

Experiment 4: Reports and tracking of a construction project using M.S. project scheduling systems.

Experiment 5: Scheduling a small construction project using PRIMAVERA scheduling systems.

Experiment 6: Reports and tracking of a construction project using PRIMAVERA scheduling systems.

Experiment 7: Simulation models for project risk analysis.

Experiment 8: Virtual progress tracking of small construction projects using Navisworks.

Experiment 9: Familiarization with Building Information Modelling (BIM) Concepts.

Experiment 10: Practical Demonstration of BIM Application.

This course will give exposure to students in utilizing sophisticated spreadsheet programs

This course will give exposure to students in utilizing estimation software, and other package programs.

This course will give exposure to students to track and schedule a construction project using various softwares.

This course will help students in developing a simulation model for analyzing the project risk.

CO1: The students will be able to prepare the proposal for a construction project.
CO2: The students will be able to store and retrieve information about equipment.
CO3: The students can track the activities and schedule a construction project using PRIMAVERA.
CO4: The students can Track and schedule a construction project using MS Project.
CO5: The students can develop a simulation model for project risk analysis.

Kenneth C. Laudon and Jane Price Laudon, Management Information Systems Organization and Technology, Prentice Hall

Michael W. Evans and John J. Marciniah, Software Quality Assurance and Management, John Wiley and Sons

Ralph H. Sprague and Huge J. Watson, Decision Support for Managers, Prentice Hall