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ARTIFICIAL INTELLIGENCE COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YEM407 ARTIFICIAL INTELLIGENCE 7 3 3 8

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature Review Arise of Artificial Intelligence and basic concepts in Artificial Intelligence Lecture
2 Literature Review What is Artificial Intelligence? What is not Artificial Intelligence? Lecture & Discussion
3 Literature Review Introduction to Algorithms Lecture
4 Literature Review, Using Visual Sources New media Algorithms Lecture
5 Literature Review, Using Visual Sources Google and Facebook Algorithms Lecture & Discussion Demonstrating with sample templates
6 Using Written and Visual Sources Artificial Intelligence Usage in Media and New Media Field, Current Status and Future Predictions Lecture & Discussion
7 Literature Review Knowledge-based Tools and Logical Problem Solving Lecture & Discussion
8 - MID-TERM EXAM -
9 Literature Review Knowledge engineering: Construction of information centers and Information Production Systems as an example Lecture & Discussion
10 Literature Review, Using Written and Visual Sources Semantic Networks Lecture & Discussion
11 Literature Review, Using Written and Visual Sources Logical Framework Structure Lecture & Discussion Demonstrating with sample templates
12 Literature Review, Using Written and Visual Sources News production in Post-truth age and Artificial Intelligence Lecture & Discussion
13 Literature Review Natural language processing and Artificial Intelligence Production Form Lecture & Discussion
14 Literature Review, Using Written and Visual Sources The Usage of Artificial Intelligence in Content Production: Procedural Content Production and Regression Analysis Evaluation Lecture & Discussion & Demonstrating with samples
15 Literature Review, Using Written and Visual Sources General Revision Lecture & Discussion
16 - FINAL EXAM -
17 - FINAL EXAM -