Course Information

Course Name	Turkish	Special Topics in Compu.Eng. - Trustable AI
	English	Special Topics in Compu.Eng. - Trustable AI
Course Code	BLG 553E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Zehra Çataltepe
Course Objectives		Have a through understanding of what makes an AI system trustable.
Course Description		Machine Learning models and solutions based on them are increasingly operationalized. This course will cover how to evaluate, communicate, update trustworthiness of a machine learning solution. Trustworthiness will be evaluated under validity, privacy, explainability and responsibility components. AI interpretation methods will be covered in depth. Applications in different industries will be examined. Students will need prepare a project where they help an AI to become more trustworthy through one or more of the aspects above. Python programming and Machine Learning or an equivalent course are prerequisites.
Course Outcomes		to be updated
Pre-requisite(s)		Machine Learning, Python
Required Facilities		Computer
Other
Textbook		Papers will be shared
Other References		Papers will be shared