Information Package

Ph.D. on Industrial Engineering

END611

GRAPH THEORY

Course Code
END611
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeCompulsory Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Formulate Industrial Engineering problems as network flow problem
  2. Define the most widely studied network flow problems such as shortest path, minimum spanning tree
  3. Create mathematical models of network flow problems
  4. Explain the variety of techniques to solve network optimization problems
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionFlow problems on the network, transportation and assignment problems. Special-purpose algorithms and advanced computing techniques. Maximum flow problem, the theory, algorithms and its applications. Shortest path algorithm, network simplex method. Traveling salesman problem and its extensions.
Course Contents
WEEK TOPICS
1st Week Scientific Development and Graph Theory
2nd Week Basic Concept and Initial Generalities
3rd Week Edge, Path, Circuit, and special networks
4th Week Euler path, Euler network
5th Week Operations on networks
6th Week Directional Networks
7th Week Hamiltonian path and Hamiltonian tour
8th Week Midterm
9th Week Trees
10th Week Bipartite networks
11th Week Matching Problems
12th Week Relationship Matrices in Networks
13th Week Network Flow Models
14th Week Applications
Recommended or Required ReadingDers Notları.
F.Buckley, M.Lewinter, A friendly Introduction to Graph Theory, PEARSON EDUCATION, INC, New Jersey, 2003.
Tero Harju, Lecture Notes on Graph Theory, University of Turku, Finland, 2012.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
  • Practice
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 3 15
Project 1 10
Attendance 1 5
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 11 154
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework 4 14 56
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4
K1 X
K2 X X
K3 X X
K4 X X
K5 X X
K6
K7
K8
K9
K10
K11