Akademik Dersler - Tanıtım


Code - Course Title	BİL616 - Pattern Recognition Applications
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR MEHMET KOÇ
Mode of Delivery	Face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	None.
Required or Recommended Resources	Theodoridis, S. & Koutroumbas, K. (2009) Pattern Recognition (4th Edition), Academic Press.Pattern Recognition: A MATLAB Approach, Academic Press.
Recommended Reading List	Duda, R. O., Hart, P. E. & Stork, D. G. (2001) Pattern Classification (2nd Edition), Wiley.
Assessment methods and criteria	Homework, Project, Midterm Exam, Final Exam.
Work Placement	None.
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction
Week - 2	Review of Probability and Linear Algebra
Week - 3	Classifiers based on Bayes Decision Theory
Week - 4	Linear Classifiers
Week - 5	Non-linear Classifiers
Week - 6	Non-linear Classifiers
Week - 7	Feature Extraction and Selection
Week - 8	Speech Recognition
Week - 9	Text Recognition
Week - 10	Image Recognition
Week - 11	Clustering
Week - 12	Clustering
Week - 13	Course Recap
Week - 14	Project Representations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	30
2.Midterm Exam	1	30
Final Exam	1	40
Toplam (%)		100