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ISTANBUL GELİŞİM UNIVERSITY INFORMATION SYSTEM

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
TVP255 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE 3 4 2 3

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week Preparatory Topics(Subjects) Method
1 Slides and Resource Materials Introduction to artificial intelligence and machine learning. Lecture, question-and-answer session, discussion, laboratory application.
2 Slides and Resource Materials The history and development of artificial intelligence in healthcare. Lecture, question-and-answer session, discussion, laboratory application.
3 Slides and Resource Materials Basic types of machine learning (supervised, unsupervised, reinforcement) Lecture, question-and-answer session, discussion, laboratory application.
4 Slides and Resource Materials Algorithm examples: Decision trees, regression, clustering. Lecture, question-and-answer session, discussion, laboratory application.
5 Slides and Resource Materials Preparing big data and health data for artificial intelligence. Lecture, question-and-answer session, discussion, laboratory application.
6 Slides and Resource Materials AI applications in healthcare: Image analysis, diagnostic support systems. Lecture, question-and-answer session, discussion, laboratory application.
7 Slides and Resource Materials Artificial intelligence with mobile health apps and smart devices. Lecture, question-and-answer session, discussion, laboratory application.
8 Slides and Resource Materials AI-powered treatment planning systems Lecture, question-and-answer session, discussion, laboratory application.
9 Slides and Resource Materials Data mining and natural language processing (NLP) Lecture, question-and-answer session, discussion, laboratory application.
10 - MID-TERM EXAM -
11 Slides and Resource Materials Data privacy and security in artificial intelligence. Lecture, question-and-answer session, discussion, laboratory application.
12 Slides and Resource Materials Ethical issues: discrimination, transparency, accountability Lecture, question-and-answer session, discussion, laboratory application.
13 Slides and Resource Materials Application examples and case studies Lecture, question-and-answer session, discussion, laboratory application.
14 Slides and Resource Materials Overall rating Lecture, question-and-answer session, discussion, laboratory application.
15 Slides and Resource Materials Project presentations Lecture, question-and-answer session, discussion, laboratory application.
16 - FINAL EXAM -
17 - FINAL EXAM -