PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
BTO 406	ARTIFICAL INTELLIGENCE IN EDUCATION	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	to recognize artifical intelligence and to explore artifical intelligence applications in education
Course Content	term of artical intelligence, apllications and development, artifical intelligence applicatins in education
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	to recognize artifical intelligence applications
2	to recognize infrastructure of artifical intelligence applications
3	artifical intelligence applications in education

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12	PO 13	PO 14	PO 15	PO 16	PO 17
LO 001	4	5	4	5	4	5	4	5	4	5	4	4	5	4	5	5	5
LO 002	5	5	5	5	5	5	4	4	4	4	4	4	4	5	5	5	5
LO 003	5	5	5	5	5	5	4	4	4	4	4	4	4	4	5	5	5
Sub Total	14	15	14	15	14	15	12	13	12	13	12	12	13	13	15	15	15
Contribution	5	5	5	5	5	5	4	4	4	4	4	4	4	4	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Assignments	14	1	14
Mid-terms	1	7	7
Final examination	1	5	5
Report / Project	1	6	6
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2021-2022 Fall	1	HÜSEYİN ÖZÇINAR

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
BTO 406	ARTIFICAL INTELLIGENCE IN EDUCATION	3 + 0	1	Turkish	2021-2022 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. HÜSEYİN ÖZÇINAR	hozcinar@pau.edu.tr		Course location is not specified.	%70

Goals		to recognize artifical intelligence and to explore artifical intelligence applications in education
Content		term of artical intelligence, apllications and development, artifical intelligence applicatins in education

Topics

Weeks	Topics
1	Concept of intelligence
2	Artificial neural networks and artificial intelligence
3	History of AI
4	Usage areas of AI
5	Expert systems
6	Educational usage of AI
7	ITS
8	Big data
9	Learning analytics
10	Logic programming
11	Logic programming
12	Project development
13	Project development
14	Project evaluation

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student