Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Graph Theory MAT551 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Lecturing
Course Coordinator Assoc. Prof. Dr. ZAKİR DENİZ
Instructors
Assistants
Goals The purpose of this course is to introduce graph theory, which have an important place in modern mathematics in parallel with the development of computer science.
Course Content Fundemental concepts Paths and Cycles Bipartite graphs Vertex degrees and counting Algorithmic proofs Trees and distance Connectivity Midterm exam Matching and factor Matching and factor Graph coloring Graph coloring Planar graphs Kuratowski’s Theorem
Learning Outcomes - 1. To be able to define the basic concepts of graphs, directed graphs, and weighted graphs. 2. To be able to define the properties of bipartite graphs, particularly in trees. 3. Is able to understand the concept of colorings and theory. 4. Is able to understand Eulerian and Hamitonian graphs 5. Is able to understand the concept of plane graph and theory. 6. To be able to construct graphical structures related to various problems
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Fundemental concepts
2. Week Paths and Cycles
3. Week Bipartite graphs
4. Week Vertex degrees and counting
5. Week Algorithmic proofs
6. Week Trees and distance
7. Week Connectivity
8. Week Midterm exam
9. Week Matching and factor
10. Week Matching and factor
11. Week Graph coloring
12. Week Graph coloring
13. Week Planar graphs
14. Week Kuratowski’s Theorem
Recommended Sources
Douglas Brent. Introduction to graph theory. Vol. 2. Upper Saddle River, NJ: Prentice hall, 1996.
Diestel, R., Graph Theory, Springer GTM 173, New York, 1997.West,
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY1 2 2 60
PY2 2 2 60
PY3 2 2 60
PY4 2 2 60
PY5 2 2 60
PY6 2 2 60
PY7 2 2 60
PY8 2 2 60
PY9 2 2 60
PY10 2 2 60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Preparation, After Class Study 14 3 42
Midterm 1 1 2 2
Homework 1 14 1 14
Homework 2 14 1 14
Quiz 1 2 2 4
Quiz 2 2 2 4
Final 1 2 2
Practice 14 2 28
Practice End-Of-Term 14 2 28
Classroom Activities 14 2 28
Total Workload 208
ECTS Credit of the Course 8.0