TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Associate Professor Mustafa Sert
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know multimedia data types. 2) Describe feature extraction methods for AV data. 3) Perform multimedia querying and retrieval. 4) Know multidimensional index structures. 5) Know distance metrics and similarity search.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Multimedia data types, Multimedia data processing and content extraction, Multimedia content description standards, Multimedia querying and retrieval, Multidimensional index structures, Distance metrics.
COURSE CONTENTS	WEEK TOPICS 1st Week Multimedia data types. 2nd Week Multimedia data types. 3rd Week Multimedia data processing and content extraction. 4th Week Multimedia data processing and content extraction. 5th Week Multimedia data processing and content extraction. 6th Week Multimedia content description standards. 7th Week Multimedia content description standards. 8th Week Mid-term 9th Week Multimedia querying and retrieval. 10th Week Multimedia querying and retrieval. 11th Week Multidimensional index structures. 12th Week Multidimensional index structures. 13th Week Distance metrics. 14th Week Distance metrics.
RECOMENDED OR REQUIRED READING	1. Subrahmanian, V.S., "Principles of Multimedia Database Systems", MKP, (1998) 2. Lu, G., "Multimedia Database Management Systems", Artech House, (1999). 3. Burg. J., "The Science of Digital Media", Prentice Hall, (2009).
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work Preparation for Final exam Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) Final exam Homework 2 40 80 Project 1 150 150 Total Workload 304 Total Workload / 30 10,13 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No