IE524 PROJECT SCHEDULING

Course Code:5680524
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Industrial Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Prof.Dr. MERAL AZİZOĞLU
Offered Semester:Fall or Spring Semesters.

Course Objectives

At the end of the course, the students will:

1. be able to comprehend the basics of project scheduling

2. become familiar with the fundamental concepts of project planning and scheduling, and learn qualitative and quantitative methods used to solve the related problems

3. become familiar with the fundamental concepts of project monitoring and control, and learn qualitative and quantitative methods used to solve the related problems

4. become familiar with the fundamental concepts of project rescheduling, and learn qualitative and quantitative methods used to solve the related problems


Course Content

Principles of project management. Representation of project operations: project breakdown, network representation and terminology, network data. Network planning with respect to costs and durations: critical path analysis, linear time cost trade-off analysis. Resource-constrained network planning, resource scheduling, resource leveling. Financial planning and cost control in project systems. Project scheduling with probabilistic networks.(R)


Course Learning Outcomes

  • Identify the basic characteristics of a project and a project manager
  • Define the basic types of project organizations
  • Understand the basics of project planning and the related concepts
  • Understand the importance of project scheduling
  • Identify the deterministic and stochastic project scheduling techniques
  • Understand the project monitoring concepts and the related methods
  • Understand the project control concepts and the related methods
  • Identify the time/cost and time/resource project scheduling problems
  • Understand resource allocation and resource leveling problems
  • Understand the disruption concept and the related rescheduling problems

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1Specialize with advanced knowledge in selected areas of Industrial Engineering; such as Production and Operations Management, Supply Chain Management, Business Analytics and Information Systems, Decision Sciences and Operational Research, Quality Management, Human Factors and Ergonomics, and Strategy and Industrial Economics.
2Have advanced ability to formulate and solve industrial engineering problems.
3Be able to systematically acquire new scientific knowledge to design and improve socio-technical systems.
4Be able to conduct scientific research in industrial engineering.
5Be able to apply critical reasoning in their professional careers.
6Appreciate the academics ethics.