1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF EDUCATION
  3. COMPUTER AND INSTRUCTIONAL TECHNOLOGIES EDUCATION DEPARTMENT
  4. 135 COMPUTER AND INSTRUCTIONAL TECHNOLOGIES EDUCATION
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BTO 5003AI APPLICATIONS IN EDUCATION2 + 05th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Providing awareness of the concept of artificial intelligence and the use of artificial intelligence for educational purposes
Course Content Intelligence and characteristics; history of artificial intelligence, current state and application areas; expert systems; use areas, components, features, design of expert systems; expert systems in education use of; intelligent learning systems; large data in education; learning analytics; educational agent; adaptable learning and adaptive measurement; program development in logical programming.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1He is aware of artificial intelligence
2He/She is aware of educational usage artificial intelligence
3Has knowledge of deep learning
4Can explore the history of AI
5Has knowledge about expert systems
6 Know the importance of a big data
7Know the history of the use of big data
8Can explain the properties of intelligence
9Has knowledge of adaptive learning
10Has knowledge of adaptive assesment

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17
LO 001                 
LO 002                 
LO 003                 
LO 004                 
LO 005                 
LO 006                 
LO 007                 
LO 008                 
LO 009                 
LO 010                 
Sub Total                 
Contribution00000000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)11414
Mid-terms12424
Final examination12424
Presentation / Seminar Preparation11414
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Fall1HÜSEYİN ÖZÇINAR


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BTO 5003 AI APPLICATIONS IN EDUCATION 2 + 0 1 Turkish 2021-2022 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. HÜSEYİN ÖZÇINAR hozcinar@pau.edu.tr EGT A0431-03 %70
Goals Providing awareness of the concept of artificial intelligence and the use of artificial intelligence for educational purposes
Content Intelligence and characteristics; history of artificial intelligence, current state and application areas; expert systems; use areas, components, features, design of expert systems; expert systems in education use of; intelligent learning systems; large data in education; learning analytics; educational agent; adaptable learning and adaptive measurement; program development in logical programming.
Topics
WeeksTopics
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 MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes