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Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering and Natural Science
Programme of Computer Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05061107 Graph Theory 2025 Spring 6 3+0+0 3 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Neşe ÖZKAN YILMAZ
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Neşe ÖZKAN YILMAZ A BLOK-130 [email protected] 7812
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P6 Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills 1
P10 Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development 2
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Must have technological knowledge of basic measurement theory, sensors and other measurement components P.4.1 1
O2 Ability to work independently and take responsibility P.6.1 2
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 What is a graph? Definitions, examples
2 Basic types of graphs
3 Engineering applications of graphs
4 Chemical Applications of Graphite
5 Graph numbers
6 Graph numbers and their applications
7 Graph parameters
8 Applications of graph parameters
9 Trees
10 Algorithms related to trees
11 Planar graphs
12 Euler graphs
13 Hamilton graphs
14 Graph problems
Textbook or Material
Resources Gross, J. L., & Yellen, J. (Eds.). (2003). Handbook of graph theory. CRC press
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 32 32
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 34 34
Other 0 0 0
Total Work Load: 150
Total Work Load / 30 5
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P4 P6
O1 Must have technological knowledge of basic measurement theory, sensors and other measurement components 2 -
O2 Ability to work independently and take responsibility - 3