GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

BIG DATA AND PRIVACY/5241339

Course Title:	BIG DATA AND PRIVACY
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

To increase the knowledge on big data and personal data security issues, to teach to produce both theoretical and practical solutions to problems that may be encountered in these issues.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Big Data and Personal Data
2. Week	Big Data and Personal Data Security
3. Week	Security Techniques
4. Week	Social media sharing, blogs, blogs, photos, video, log files, scientific data collected from various sources such as all the data collected and processed into a meaningful and processable examination of methods and processes
5. Week	Social media sharing, blogs, blogs, photos, video, log files, scientific data collected from various sources such as all the data collected and processed into a meaningful and processable examination of methods and processes
6. Week	Performing Analysis
7. Week	Performing Analysis
8. Week	Mid-term exam, Examination of sample applications
9. Week	Examination of Sample Applications
10. Week	Privacy and Security Measures
11. Week	Privacy and Security Measures
12. Week	Determination of National and International Policies
13. Week	Research and application projects
14. Week	Research and application projects
15. Week
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	30
Assignment	7	30
Application	0	0
Projects	0	0
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	12	3	36
Searching in Internet and Library	12	3	36
Material Design and Implementation			0
Report Preparing	4	10	40
Preparing a Presentation	2	5	10
Presentation	2	5	10
Midterm Exam and Preperation for Midterm Exam	1	10	10
Final Exam and Preperation for Final Exam	1	10	10
Other (should be emphasized)			0
TOTAL WORKLOAD:			194
TOTAL WORKLOAD / 25:			7.76
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
11		X
12			X
13					X
14				X
15			X

-- NAME OF LECTURER(S)

(Assoc.Prof.Dr. İbrahim Alper DOĞRU )

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

()

-- EMAIL(S) OF LECTURER(S)

(iadogru@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR