Artificial Intelligence and Semantic Web Applications in Education

Course Code:

INTE 521

Course Type:

Seçmeli

P:

3

Lab:

0

Credits:

3

ECTS:

6

Course Objectives:

Course Content:

What is artificial intelligence (AI)? Introduction to AI programming: building blocks. History, philosophy, ethics and social implications of AI. AI programming: designing integrated systems. data testing, and extensive information. How to apply artificial intelligence to educational setting.

Course Methodology:

1: Lecture, 2: Case study, 3: Problem solving 4:Discussion 5:Simulation 6: Group work

Course Evaluation Methods:

1: Testing, 2: Experiment 3: Homework 4: Portfolio 5: Project 6: Application

Vertical Tabs

Dersin Öğrenme Çıktıları

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods

Dersin Akışı

COURSE CONTENT
Week	Topics	Study Materials

Kaynaklar

RECOMMENDED SOURCES
Textbook
Additional Resources

Materyal Paylaşımı

MATERIAL SHARING
Documents
Assignments
Exams

Değerlendirme Sistemi

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	%30
Assignment (Paper critiques)	2	%20
Final Project	1	%50
Total		%100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		%50
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		%50
Total		%100

Dersin Program Çıktılarına Katkısı

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Have theoretical and applied knowledge about different disciplines that make up Instructional Technologies.				X
2	Construct original researches in the field by using different research methods and techniques.				X
3	Analyzes the data of the researches planned or applied by various statistical methods.			X
4	They act in accordance with professional and scientific ethical values in their research.				X
5	Contributes to the process of becoming an information society by introducing scientific, social and cultural advances to the society in his academic and professional life.					X
6	Produces original thoughts and studies by using up-to-date and advanced knowledge based on Master's qualifications.					X
7	To continue his professional development, he uses appropriate information and instructional technologies and follows new instructional technologies.					X
8	Knows, evaluates, applies and transfers digital literacy and competencies to society.				X
9	It organizes appropriate technology supported educational environments for individuals to learn at a high level, taking into account their individual, social and cultural differences, special interests and needs.					X
10	Defines new instructional technologies and the mass media dynamics that compose them and uses them to create innovative learning-teaching environments when necessary.					X
11	Knows the project management processes and carries out projects in electronic environment.				X

AKTS İş Yükü Tablosu

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Excluding the exam week: 13x Total course hours)	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	4	60
Mid-terms	1	10	10
Homework	2	10	20
Final Project	1	20	20
Total Work Load			155
Total Work Load / 25 (h)			6,2
ECTS Credit of the Course			6

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