GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

DATA MINING/5201329

Course Title:	DATA MINING
Credits	3	ECTS	7.5
Semester	1	Compulsory/Elective	Elective

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Assoc. Prof. Suat ÖZDEMİR

-- WEB SITE(S) OF LECTURER(S)

http://ceng.gazi.edu.tr/~ozdemir

-- EMAIL(S) OF LECTURER(S)

suatozdemir@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Learning the fundamental concepts in data mining
Be able to perform classification task over a given data set
Be able to perform clustering task over a given data set

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

Database Systems

--COURSE CONTENT
1. Week	Definition of data mining
2. Week	Overview of application areas and techniques
3. Week	Steps of data mining process: Problem definition
4. Week	Data selection
5. Week	Data pre-processing
6. Week	Data transformation and reduction
7. Week	Algorithm selection
8. Week	Model evaluation and presentation
9. Week	Decision trees
10. Week	Classification
11. Week	Curve fitting
12. Week	Association rules
13. Week	Memory based techniques
14. Week	k-nearest neighbor algorithm
15. Week	Clustering
16. Week	Artificial neural networks

-- RECOMMENDED OR REQUIRED READING

Data Mining, Second Edition Concepts and Techniques 2nd Edition Jiawei Han and Micheline Kamber ISBN: 978-1-55860-901-3

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

None

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	20
Assignment	5	20
Exercises	0	0
Projects	1	20
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		60
Contribution of Final Examination to Overall Grade		40

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	15	3	45
Practising Hours of Course Per Week			0
Reading	10	5	50
Searching in Internet and Library	10	3	30
Designing and Applying Materials			0
Preparing Reports	5	5	25
Preparing Presentation	1	5	5
Presentation			0
Mid-Term and Studying for Mid-Term	1	15	15
Final and Studying for Final	1	15	15
Other			0
TOTAL WORKLOAD:			185
TOTAL WORKLOAD / 25:			7.4
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1			X
2			X
3				X
4					X
5				X
6					X
7					X
8				X
9				X
10				X
11						X
12		X

Gazi University

Information Package

Programme Information

Search

GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR