Information Package

Master's of Industrial Engineering with Thesis

END508

NETWORK MODELS AND PROJECT MANAGEMENT

Course Code
END508
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Gain an ability to apply knowledge of mathematics, science, and engineering
  2. Gain an ability to identify, formulate, and solve engineering problems
  3. Gain an ability to use the techniques, skills, and modern engineering tools necessary engineering practice.
  4. Explain the project management and schedule the production in production systems making project type production
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionBasic concepts about networks. Shortest path, span and maximum flow problems. Management functions in project type manufacturing. Methods and phases of project planning. Project planning and control techniques (CPM, PERT etc.). Duration-cost analysis in project management and resource balancing problems.
Course Contents
WEEK TOPICS
1st Week Project Management: PERT
2nd Week Project Management: CPM
3rd Week Integer Programming
4th Week Integer Programming Models and Examples
5th Week Branch and Bound Algorithm
6th Week Nonlinear Models and Examples
7th Week Convexity, Concavity and Quadratic Forms
8th Week Midterm
9th Week Analytic and Numerical Solutions to the Single Variable Nonlinear Model
10th Week Nonlinear Models with Several Variables
11th Week Multi-Stage Decision Models
12th Week Dynamic Programming, Examples
13th Week Decision Making under Risk and Uncertainty
14th Week Decision Making with Multiple Objective
Recommended or Required ReadingDolan A., Aldous J., 1993, Networks and Algorithms, Wiley, 544 p.
Daskin M.S., 1995, Network and Discrete Location, Wiley, 498 p.
Rosen K.H., 1995, Discrete Mathematics and Its Application (3rd ed.), Mc Graw Hill, 710 p.
Lockyer K., Gordon J., 1991, Critical Path Analysis 5th ed., Pitman Publishing, 244 p.
Gray C.F., Larson E.W., 2000, Project Management, Mc Graw Hill, 496 p.
Chatfield C., Johnson T., 2003, Adım Adım Microsoft Project 2003, Arkadaş Yayınevi, 512 s.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 14 196
Preparation for Final exam 1 25 25
Course hours 4 3 12
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load262
Total Work Load / 30 (h)8.73
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X X X X
K2 X X X X
K3 X X
K4 X X
K5 X
K6 X
K7
K8
K9 X
K10 X
K11