Course Information

Course Name	Turkish	Temel Bilimler için Veri Analizi
	English	Data Analysis in Fund.Sciences
Course Code	MAT 388E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Gül İnan
Course Objectives		MAT388E is an undergraduate level course which aims to provide an introduction to commonly used statistical methods for inference and prediction problems in data analysis.
Course Description		The methods covered will include supervised learning algorithms with a focus on regression and classification problems and unsupervised learning algorithms with a focus on clustering problems, Application of these methods to data analysis problems and their software implementation will be done via [Python](https://www.python.org/downloads/).
Course Outcomes
Pre-requisite(s)		MAT244E
Required Facilities
Other
Textbook
Other References