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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
GRAPH THEORY BİL475 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Nizami Gasilov
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Learn the basic concepts and techniques of graph theory.
2) Select appropriate models and algorithms of graph theory to solve the problems arising in computer science, engineering and operations research.
3) Learn Euler circuits and related application problems, solve them using algorithms.
4) Have theoretical knowledge on Hamilton circuits. Gain an understanding of the challenges arising in solving the traveling salesman problem.
5) Learn algorithms used for solution of the shortest path problem and compare their computational complexity.
6) Solve the problem of maximum flow. Implement the algorithms for matching and assignment problems.
7) Solve problems by applying the tree algorithms.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONGraphs and graph models, connected graphs. Multigraphs and digraphs. Isomorphic graphs. Trees, the minimum spanning tree problem. Connectivity. Eulerian graphs. Hamiltonian graphs. Matchings and factorization. Planarity and planar graphs. Coloring graphs, the four color problem. Vertex coloring, edge coloring. Matrices and graph algorithms. Flows and cuts, constructing maximal flows.
COURSE CONTENTS
WEEKTOPICS
1st Week Graphs and graph models, connected graphs.
2nd Week Multigraphs and digraphs.
3rd Week Isomorphic graphs.
4th Week Trees, the minimum spanning tree problem.
5th Week Connectivity. Eulerian graphs.
6th Week Hamiltonian graphs.
7th Week Matchings and factorization.
8th Week Mid-term
9th Week Planarity and planar graphs.
10th Week Coloring graphs, the four color problem.
11th Week Vertex coloring, edge coloring.
12th Week Matrices and graph algorithms.
13th Week Flows and cuts, constructing maximal flows.
14th Week Flows and cuts, constructing maximal flows.
RECOMENDED OR REQUIRED READING1. Buckley F., Lewinter M., Friendly introduction to Graph Theory, Prentice Hall, 2003
2. Grimaldi R.P., Discrete and Combinatorial Mathematics, 5/E, Addison Wesley, 2003
3. Rosen K.H., Discrete Mathematics and Its Applications, 6/E, McGraw-Hill, 2007
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSQuestions/Answers,Other,Presentation,Report Preparation,Project,Problem Solving,Practice,Experiment
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term330
Assignment715
Project115
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam11,51,5
Preparation for Quiz
Individual or group work
Preparation for Final exam12020
Course hours14342
Preparation for Midterm exam11515
Laboratory (including preparation)
Final exam11,51,5
Homework
Project17070
Quiz4,52
Total Workload152
Total Workload / 305,06
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONEnglish
WORK PLACEMENT(S)No
  

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