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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS414 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 5 3 3 5

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 Literature Reading, Current Examples Artificial Intelligence, Introduction to Python Explanation, Discussion, Application
2 Literature Reading, Current Examples Machine Learning, Data and Data Preprocessing Concepts Explanation, Discussion, Application
3 Literature Reading, Current Examples Data Preprocessing Concepts and Python Explanation, Discussion, Application
4 Literature Reading, Current Examples Data Preprocessing with Python (Seaborn Library) Explanation, Discussion, Application
5 Literature Reading, Current Examples Data Preprocessing and Visualization with Python (Pandas and MatplotLib Libraries) Explanation, Discussion, Application
6 Literature Reading, Current Examples Linear Regression Explanation, Discussion, Application
7 Literature Reading, Current Examples Linear Regression (coding) Explanation, Discussion, Application
8 - MID-TERM EXAM -
9 Literature Reading, Current Examples Decision Trees Explanation, Discussion, Application
10 Literature Reading, Current Examples Decision Trees (coding) Explanation, Discussion, Application
11 Literature Reading, Current Examples Random Forest Explanation, Discussion, Application
12 Literature Reading, Current Examples Logistic Regression Explanation, Discussion, Application
13 Literature Reading, Current Examples Support vector machine Explanation, Discussion, Application
14 Literature Reading, Current Examples Artificial Neural Networks Explanation, Discussion, Application
15 Literature Reading, Current Examples Artificial Neural Networks Explanation, Discussion, Application
16 - FINAL EXAM -
17 - FINAL EXAM -