Course Information

Course Name	Turkish	İstatistiksel Öğrenme
	English	Statistical Learning
Course Code	BLU 603E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Behçet Uğur Töreyin
Course Objectives		1) To teach methods and techniques for statistical learning. 2) To teach relation between statistical learning and information theory.
Course Description		Statistical learning techniques become increasingly common in all areas of informatics thanks to advances in computational power. This PhD level course is aimed at exposing the student to methods and techniques in statistical learning literature with an insight on the relation between information theory and statistical learning. The course covers topics as diverse as entropy, clustering, regression, unsupervised - reinforcement learning, neural networks and de-convolution.
Course Outcomes		Students who pass the course will have knowledge about: 1) Statistical learning methods, 2) Relation between statistical learning and information theory, 3) Classification and clustering techniques, 4) Reinforcement learning.
Pre-requisite(s)		Probability and Stochastic Processes
Required Facilities
Other
Textbook
Other References