GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

DATA MINING/5021303

Course Title:	DATA MINING
Credits	3	ECTS	7.5
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Ability of learning the concept of data mining
Ability of learning the data mining algorithms
Ability of learning the techniques of data mining with R and Python
Ability of using the data mining methods in the real environment implementation

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Historical development and scope of data mining
2. Week	Basic concepts and softwares
3. Week	Preparation of data for analysis and exploring data
4. Week	Feature selection methods
5. Week	Classification using decision trees
6. Week	ZeroR, OneR, Bayes, k-nearest neighbor classifications
7. Week	Measurement of classification quality
8. Week	Basic concepts of clustering
9. Week	Partitioning-based clustering methods
10. Week	Hierarchical clustering methods
11. Week	Measurement of clustering quality
12. Week	Association Rules
13. Week	Project work
14. Week	Project work
15. Week	Final Exam
16. Week	-

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	30
Assignment	0	0
Application	0	0
Projects	1	30
Practice	0	0
Quiz	0	0

Percent of In-term Studies		60
Percentage of Final Exam to Total Score		40

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours			0
Reading Tasks			0
Searching in Internet and Library	2	2	4
Material Design and Implementation			0
Report Preparing			0
Preparing a Presentation	5	5	25
Presentation	5	5	25
Midterm Exam and Preperation for Midterm Exam	5	5	25
Final Exam and Preperation for Final Exam	5	5	25
Other (should be emphasized)	14	3	42
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
Course Credit (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

-- NAME OF LECTURER(S)

(Prof.Dr. Bülent ALTUNKAYNAK)

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

(websitem.gazi.edu.tr/bulenta)

-- EMAIL(S) OF LECTURER(S)

(bulenta@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR