1	Course Title:	DATA STRUCTURES AND ALGORITHMS
2	Course Code:	EEM4109
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	7
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. FAHRİ VATANSEVER
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	E-posta:fahriv@uludag.edu.tr Tel: (224) 294 09 05 Adres: Elektrik-Elektronik Mühendisliği bölümü, No:304
18	Website:
19	Objective of the Course:	To gain ability to analyze and synthesis of data structures, coding and understanding different algorithms
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To gain ability developing advanced software in data analysis area; 2 To gain ability to develop select and use modern techniques and equipment necessary for engineering applications; 3 To gain ability to use information technology in efficient way; 4 To gain ability to simulate with developing advanced software for investigating engineering problems; 5 To gain ability to collect data, analysis result and interpret results with developing advanced software for investigating engineering problems;

22	Course Content:

Week	Theoretical	Practical
1	Data, data structures, data processing algorithms
2	Arrays
3	Lists
4	Queues
5	Stacks
6	Trees
7	Sorting algorithms
8	Midterm Exam + General review
9	Sorting algorithms
10	Searching algorithms
11	Searching algorithms
12	Graphs
13	Graphs algorithms
14	Hash tables

23	Textbooks, References and/or Other Materials:	1. Goodrich, M.T., Tamassia, R., Mount, D., Data Structures & Algorithms in C++, Second Edition, John Wiley & Sons Inc., 2011. 2. Lafore, R., Sams Teach Yourself Data Structires and Algorithms in 24 Hours, Sams Publishing, 1999. 3. Vatansever, F., İleri Programlama Uygulamaları, Seçkin Yayıncılık, 2006. 4. Lafore, R., Data Structures & Algorithms in Java, Second Edition, SAMS, 2003. 5. Kruse, R.L., Ryba, A.J., Data Structures and Program Design in C++, Prentice Hall, 2000.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	3	42
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	16	16
Others	0	0	0
Final Exams	1	20	20
Total WorkLoad			120
Total workload/ 30 hr			4
ECTS Credit of the Course			4

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 0 0 5 0 0 0 0 0 0 0 0 0 LO2 0 0 0 5 0 0 0 0 0 0 0 0 LO3 0 0 0 5 0 0 0 0 0 0 0 0 LO4 0 0 0 0 5 0 0 0 0 0 0 0 LO5 0 0 0 0 5 0 0 0 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High