GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

ARTIFICIAL INTELLIGENCE TECHNIQUES IN FORENSIC INFORMATICS/BEAB5102

Course Title:	ARTIFICIAL INTELLIGENCE TECHNIQUES IN FORENSIC INFORMATICS
Credits	3	ECTS	6
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

Effective use of artificial intelligence in the areas of forensics, in this context, ensure research in the field of artificial intelligence

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Natural and Artificial Intelligence
2. Week	Intuitive Problem Resolution
3. Week	Information Modeling and Predicate Logic
4. Week	Logic Programming
5. Week	Applicability of Expert Systems and Forensic Computing
6. Week	Applicability of Artificial Neural Networks and Forensic Computing
7. Week	Applicability of Genetic Algorithms and Forensic Computing
8. Week	Applicability of Fuzzy Logic and Forensic Computing
9. Week	Applicability of Natural Language Processing and Forensic Computing
10. Week	Applicability of Audio Processing and Forensic Computing
11. Week	Applicability of Image Processing and Forensic Computing
12. Week	Biometry Artificial Intelligence Applications I (Face Detection)
13. Week	Biometry Artificial Intelligence Applications II Fingerprint)
14. Week	Biometry Artificial Intelligence Applications III Character Recognition, Handwriting)
15. Week
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	40
Assignment	1	60
Application	0	0
Projects	0	0
Practice	0	0
Quiz	0	0

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

-- 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	14	2	28
Searching in Internet and Library	14	2	28
Material Design and Implementation			0
Report Preparing	4	5	20
Preparing a Presentation			0
Presentation			0
Midterm Exam and Preperation for Midterm Exam	1	10	10
Final Exam and Preperation for Final Exam	1	22	22
Other (should be emphasized)			0
TOTAL WORKLOAD:			150
TOTAL WORKLOAD / 25:			6
Course Credit (ECTS):			6

-- COURSE'S CONTRIBUTION TO PROGRAM

-- NAME OF LECTURER(S)

(Dr. Hüseyin Çakır )

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

(http://www.websitem.gazi.edu.tr/site/hcakir)

-- EMAIL(S) OF LECTURER(S)

(hcakir@gazi.edu.tr)

Gazi University