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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 608GRAPH AND COMBINATORICS 3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective It is to give information about how to use the concepts of graph theory in solution techniques and to produce solutions to the many current problems that can be encountered in daily life.
Course Content Recurrence and counting rules, definition of graph, edge and vertex, tree and forest definition, connectedness of graph, graph types, matrices representation of graph , algorithms, isomorphic graphs and algebraic structure of graphs, application of graph to daily life problems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Knows definitions of graph and subgraph.
2Says concepts of Euler and Hamilton graphs.
3Displays the edges of the graph with a matrix.
4Understands connectivity of graph and types.
5Learns information about convex polyhedras.
6Tries to apply graph some daily life problems.
7Knows graph algorithms.

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14798
Assignments155
Mid-terms11515
Final examination13535
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes