IE454 NETWORK FLOWS &PROJECT MANAGEMENT

Course Code:5680454
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Industrial Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. ÖMER KIRCA
Offered Semester:Fall or Spring Semesters.

Course Objectives

  • At the end of the course, the students will
  • Acquire the skills to identify and formulate a wide variety of industrial engineering applications as network flow problems.
  • Be equipped with various techniques to solve network optimization problems.
  • Have an understanding of modern project management
  • Be equipped with the tools that will enable them to plan, schedule, monitor and control projects

 


Course Content

Basic network flow problems such as shortest path, minimal spanning tree and maximal flow problems. Principles of project management. Network representation and terminology. Network planning with respect to costs and durations. Resource constrained network planning. Financial planning and cost control. Project scheduling with probabilistic networks.


Course Learning Outcomes

  • Represent various IE applications as minimum spanning tree problems
  • Represent various IE applications as shortest path problems
  • Represent various IE applications as maximum flow problems
  • Represent various IE applications as minimum cost network flow problems
  • Solve minimum spanning tree problems
  • Solve shortest path problems
  • Represent various IE applications as maximum flow problems
  • Solve minimum cost network flow problems
  • Identify characteristics of a project
  • Differentiate between functional and project organizations
  • Identify various issues during the project life cycle
  • Demonstrate an understanding of conflict management tools
  • Represent projects as networks
  • Identify the critical path for a project network
  • Compare work performed to work scheduled
  • Perform resource levelling and allocation

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3An ability to communicate effectively with a range of audiences
4An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
8An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner
9An ability to apply critical reason and systems thinking in problem solving and systems design
10An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice