Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Mathematics
  • Course Structure Diagram with Credits
  • Introduction to Graph Theory
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT226 - Introduction to Graph Theory
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) PROFESÖR EMRAH AKYAR
Mode of Delivery The mode of delivery of this course is only face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended MAT239 Discrete Mathematics
Recommended Reading List Emrah Akyar, Çizge Kuramına (Graf Teorisine) Giriş, Seçkin Yayıncılık, 2021.Robin J. Wilson, Introduction to Graph Theory, 5th Edition, Prentice Hall, 2010.Douglas B. West, Introduction to Graph Theory, Pearson, 2000.W.D. Wallis, A Beginners Guide to Graph Theory, 2nd edition, Birkhäuser, 2007.Richard J. Trudeau, Introduction to Graph Theory, Dover, 1994.
Assessment methods and criteria 2 Midterm exam and 1 Final Exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Definitions and Examples: Graph, Vertex, Edge, Degree
Week - 2 Paths and Cycles
Week - 3 Connectivity
Week - 4 Eulerian graphs, Hamiltonian graphs
Week - 5 Trees: Properties of trees
Week - 6 Trees: Applications
Week - 7 Counting trees
Week - 8 Planar graphs
Week - 9 Planar graphs, Kuratowski’s theorem
Week - 10 Euler’s formula, Dual graphs
Week - 11 Colouring Graphs: Colouring vertices
Week - 12 Colouring maps, The four-color theorem, Colouring edges
Week - 13 Matching
Week - 14 Hall’s marriage theorem

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Effective use of a foreign language
  • Work in teams
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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