MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4057 Graph Theory Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Instructor MOHAMED KHALIFA
Course Objectives: Definition of Disconnected structures and their applications. The aim gives the application of graph theory in computer sciences, operation research, social sciences and biomathematics. In this concept connectivity, graph coloring, trees, Euler and Hamilton paths, Cycles, Mathcing, Covering, Shortest path and network structures will be given.

Learning Outputs

The students who have succeeded in this course;
The students who succeeded in this course;
o will be able to define and analyze problems and to find solutions based on scientific methods.
o will be able to understand basic concepts of graph theory
o will be able to apply the graph coloring methods to the daily life problems
o will be able to use the dynamic graphs for helath sciences

Course Content

Graphs, some special graphs, connectivity, blocks, trees, linear paths, planarity, Kuratowsky theorem, coloring, cromatic numbers, five color theorem, four color theorem, petri nets.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Graph
2) Specific Graphs
3) Graph modelling and applications.
4) Walk, Distance, Path, Cycle and Trees
5) Subgraph and graph operations
6) Graph Isomoprhism
7) Trees: Binary Trees
8) Catalan Numbers. Travelling Binary Trees. Spanning Trees.
9) Edge and Vertex Connectivity.
10) Network Reliability.
11) MaxMin Duality and Menger’s Theorem. Eular Path
12) Hamilton Paths and Cycles. Travelling Sales Man Problem
13) Binary operations and Graphs.
14) Graph coloring and applications in mathematica. Petri nets.

Sources

Course Notes: R. P. Grimaldi, Discrete and Combinatorial Mathematics, Pearson, 2004.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 2 % 5
Homework Assignments 7 % 5
Presentation % 0
Project % 0
Seminar % 0
Midterms 2 % 50
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 0 0 0
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 7 4 28
Quizzes 2 5 10
Preliminary Jury 0
Midterms 2 10 20
Paper Submission 0
Jury 0
Final 1 25 25
Total Workload 125

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution