COURSE UNIT TITLE

: INTRODUCTION TO GRAPH THEORY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CME 4422 INTRODUCTION TO GRAPH THEORY ELECTIVE 2 2 0 6

Offered By

Computer Engineering (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR FERIŞTAH DALKILIÇ

Offered to

Computer Engineering (English)

Course Objective

Main goal of this course is to understand graph data structures and current graph search and optimization algorithms; eventually to increase the analytical thinking abilities of students for solving complex engineering problems.

Learning Outcomes of the Course Unit

1   Learn fundamental graph concepts.
2   Learn fundamental graph algorithms.
3   Ability to find the centrality of the graph or a node by various measures.
4   Ability to implement graph structures and use fundamental graph algorithms in software.
5   Ability to apply graph algorithms to real world problems.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Graph Definitions, Data Structures
2 Breadth and Depth First Search, Topological Sorting
3 Paths, Cycles, and Connectivity
4 Minimum Spanning Tree
5 Shortest Path Algorithms
6 Planar Graphs
7 Graph Coloring
8 General Review
9 Maximum Flow Problem
10 Random Walk Method and Applications
11 Graph Centrality Measures
12 Link Prediction
13 Graph Embedding Problem
14 Project Presentations

Recomended or Required Reading

Textbook:
Introduction To Algorithms, Third Edition, Cormen TH, Leiserson CE, Rivest RL, and Stein C. The MIT Press, 2009.
Supplementary Book:
Graph Theory, Bondy JA and Murty USR, Springer, 2010.

Planned Learning Activities and Teaching Methods

Lectures / Presentation
Guided problem solving
Laboratory exercises
Homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + RST * 0.50


Further Notes About Assessment Methods

In-semester studies will be evaluated with a midterm exam and several laboratory / homework activities.
The final exam will cover all course topics.

Assessment Criteria

All the following criteria will be evaluated with exams, homework and laboratory exercises.
1. Learnability of basic concepts will be evaluated with the correct understanding of given problem.
2. Students should able to analyze the complexity of a given algorithm by applying any technique taught in the course.
3. Optimal solution strategies will be asked to find a solution for real-life problems.
4. Producing correct results of programs that developed as solution strategies will be expected.

Language of Instruction

English

Course Policies and Rules

1. Participation is mandatory (%70 theoretical courses and 80% practices)
2. Every cheating attempt will be finalized with disciplinary action.
3. Instructor reserves the right to quizzes. Notes should be added to these examinations, midterm and final exam grades.

Contact Details for the Lecturer(s)

Asst. Prof. Dr. Feriştah DALKILIÇ
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35160 BUCA/IZMIR
Tel: 0232 3017412
E-mail: feristah@cs.deu.edu.tr

Office Hours

TBA

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing assignments 4 9 36
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 148

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1535
LO.255
LO.35334
LO.4355
LO.5455433

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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