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Course Title: Graph Theory Course Code: MTH4252-3

Program: BSc. in Mathematics Department: Mathematics

College: Jamoum University College

Institution: Umm Al-Qura University

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Table of Contents

A. Course Identification ... 3

6. Mode of Instruction (mark all that apply) ... 3

B. Course Objectives and Learning Outcomes ... 3

1. Course Description ... 3

2. Course Main Objective ... 3

3. Course Learning Outcomes ... 4

C. Course Content ... 5

D. Teaching and Assessment ... 5

1. Alignment of Course Learning Outcomes with Teaching Strategies and Assessment Methods ... 5

2. Assessment Tasks for Students ... 6

E. Student Academic Counseling and Support ... 6

F. Learning Resources and Facilities ... 6

1.Learning Resources ... 6

2. Facilities Required ... 7

G. Course Quality Evaluation ... 7

H. Specification Approval Data ... 7

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A. Course Identification

1. Credit hours: 3 2. Course type

a. University College Department * Others

b. Required Elective *

3. Level/year at which this course is offered: Optional 4. Pre-requisites for this course (if any):

Discrete Mathematics 5. Co-requisites for this course (if any):

6. Mode of Instruction (mark all that apply)

No Mode of Instruction Contact Hours Percentage

1 Traditional classroom Three hours/week %100

2 Blended 0 0

3 E-learning 0 0

4 Distance learning 0 0

5 Other 0 0

7. Contact Hours (based on academic semester)

No Activity Contact Hours

1 Lecture 30

2 Laboratory/Studio 0

3 Tutorial 0

4 Others (specify) 0

Total 30

B. Course Objectives and Learning Outcomes

1. Course Description

Graph theory is very important in pure mathematics as well as in applied mathematics. Graph theory can be used to study and investigate many phenomena in Physics, Chemistry,

Computer Sciences, Information systems, Sc ecology and Business activities. In fact, graph theory is a good source to apply mathematics in the real life. So, this is an introductory course in this field which is basic in the sense that this is the first time for students to learn the

subject.

2. Course Main Objective

This course will provide a common mathematical foundation for students in all of the

programs, drawing upon the full range of undergraduate courses in mathematics. In addition, it will permit students to build upon and share knowledge already acquired while pointing out areas in which additional study may be needed. In addition, it will develop the communication skills and understanding of the process of doing mathematics necessary for graduate-level study.

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3. Course Learning Outcomes

CLOs Aligned

PLOs 1 Knowledge and Understanding: by the end of this course, the

student is expected to be able to 1.1 Identify graphs.

1.2 Identify simple graphs.

1.3 Present basic concepts of graphs and their operations.

1.4 State the Handshaking Theorem.

1.5 Identify planar graphs and colorings 1.6 Describe some properties of graphs 1.7 Describe the degree sequences .

1.8 Determine the types of graphs: Eulerian and Hamiltonian graphs.

1.9 State the isomorphism of graphs.

2 Skills: by the end of this course, the student is expected to be able to 2.1 Compare between directed and undirected graphs.

2.2 Use matrices to define Representation graphs.

2.3 Apply trees and connectivity on graphs.

3 Values: by the end of this course, the student is expected to be able to

3.1 Prepare for success in disciplines which rely on Graph theory, which is the key to understand most of applied mathematical subjects.

3.2 Interpret graphical and qualitative representations of solutions to problems

3.3 Evaluate fundamental concepts of graphs, simple graphs, directed and undirected graphs, and the interrelationship between trees and

connectivity, and planar graphs and colorings.

3.4 Generalize mathematical concepts in problem-solving through integration of new material and modeling.

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C. Course Content

No List of Topics Contact

Hours 1

Definitions and examples of graphs:

Basic concepts of graphs, Simple graphs, directed and undirected graphs, degrees, Handshaking theorem, isomorphism of graphs,

2

2 Types of graphs: Eulerian and Hamiltonian Graphs, Complete graphs, Bi- partite graphs, Wheels Graphs, Planar Graphs

6

3 Graph properties and operations of graphs 4

4 Degree Sequences 2

5 Representation Graphs by Matrices 4

6 Trees and connectivity 6

7 Planar Graphs and colorings 6

Total 30

D. Teaching and Assessment

1. Alignment of Course Learning Outcomes with Teaching Strategies and Assessment Methods

Code Course Learning Outcomes Teaching Strategies Assessment Methods 1.0 Knowledge and Understanding

1.1 Identify graphs. Lecture and Tutorials Exams, quizzes 1.2 Identify simple graphs. Lecture and Tutorials Exams, quizzes 1.3 Present basic concepts of graphs and

their operations.

Lecture and Tutorials Exams, quizzes 1.4 State the Handshaking Theorem.

1.5 Identify planar graphs and colorings Lecture and Tutorials Exams, quizzes 1.6 Describe some properties of graphs Lecture and Tutorials Exams, quizzes 1.7 Describe the degree sequences.

1.8 Determine the types of graphs:

Eulerian and Hamiltonian graphs.

1.9 State the isomorphism of graphs.

2.0 Skills

2.1 Compare between directed and undirected graphs.

Lecture and Individual or group work

Exams, quizzes 2.2 Use matrices to define Representation

graphs.

Lecture and Individual or group work

Exams, quizzes 2.3 Apply trees and connectivity on

graphs.

Lecture and Individual or group work

Exams, quizzes

3.0 Values

3.1 Prepare for success in disciplines which rely on Graph theory, which is the key to understand most of applied mathematical subjects.

Exams, quizzes

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Code Course Learning Outcomes Teaching Strategies Assessment Methods 3.2 Interpret graphical and qualitative

representations of solutions to problems

Lecture and Individual or group work

Exams, quizzes

3.3 Evaluate fundamental concepts of graphs, simple graphs, directed and undirected graphs, and the interrelationship between trees and connectivity, and planar graphs and colorings.

Lecture and Individual or group work

Exams, quizzes

3.4 Generalize mathematical concepts in problem-solving through integration of new material and modeling.

Lecture and Individual or group work

Exams, quizzes

2. Assessment Tasks for Students

# Assessment task* Week Due Percentage of Total

Assessment Score

1 Midterm Exam 6th %25

2 Quizes and homeworks During semester %25

3 Final exam End of semester %50

*Assessment task (i.e., written test, oral test, oral presentation, group project, essay, etc.)

E. Student Academic Counseling and Support

Arrangements for availability of faculty and teaching staff for individual student consultations and academic advice:

All faculty members are required to be in their offices outside teaching hours. Each member allocates at least 4 hours per week to give academic advice to students and to better explain the concepts seen during the lectures.

Students are required to complete the homework problems. Students are welcome to work together on homework. However, each student must turn in his or her own assignments, and no copying from another student’s work is permitted. Deadline extensions for homework will not be given. Students are encouraged to discuss with professor about homework problems.

F. Learning Resources and Facilities

1.Learning Resources

Required Textbooks

1- Graph theory by: Ashay Dharwadker and Shariefuddin Pirzada, Amazon 2011 ISBN:1466254998.

2- Discrete Mathematics and its applications by Kenneth H.

Rosen McGraw Hill international Edition ISBN-13: 978-007- 124474-9, ISBN-10: 007-124474-3.

Essential References Materials

H-

Graph theory by Harary: AddisonWesley 1969.

2- Introduction to graph theory by Wilson R. J. Oliver and Boyd, Edinburgh 1972,

Electronic Materials https://en.wikipedia.org/wiki/Graph_theory

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Other Learning

Materials None

2. Facilities Required

Item Resources

Accommodation

(Classrooms, laboratories, demonstration rooms/labs, etc.)

Large classrooms that can accommodate more than 30 students

Technology Resources

(AV, data show, Smart Board, software, etc.)

Data Show, Smart Board Other Resources

(Specify, e.g. if specific laboratory equipment is required, list requirements or

attach a list)

None

G. Course Quality Evaluation

Evaluation

Areas/Issues Evaluators Evaluation Methods

Effectiveness of teaching and assessment


Students Direct

Quality of learning resources Students Direct Extent of achievement of

course learning outcomes

Faculty Member Direct

Evaluation areas (e.g., Effectiveness of teaching and assessment, Extent of achievement of course learning outcomes, Quality of learning resources, etc.)

Evaluators (Students, Faculty, Program Leaders, Peer Reviewer, Others (specify) Assessment Methods (Direct, Indirect)

H. Specification Approval Data

Council / Committee Council of the Mathematics Department

Reference No.

Date

Referensi

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