TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
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 fundamentals of digital technology. 2) Know textual, audio, image, and video data representations. 3) Describe lossless and losy compression algorithms. 4) Describe main components of traditional and content-based retrieval systems. 5) Know data structures and techniques for similarity-based search. 6) Perform performance evaluations of information retrieval systems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Fundamental Concepts of Digital Technology. Textual Data Representation. Audio/Visual Data Representation and Processing Compression Algorithms. Traditional Information Retrieval Systems. Content-based Information Retrieval Systems. Efficient Data Structures and Techniques for Similarity Searching. Evaluating Retrieval Systems.
COURSE CONTENTS	WEEK TOPICS 1st Week Fundamental Concepts of Digital Technology 2nd Week Textual Data Representation 3rd Week Textual Data Representation 4th Week Audio/Visual Data Representation and Processing 5th Week Audio/Visual Data Representation and Processing 6th Week Compression Algorithms 7th Week Compression Algorithms 8th Week Mid-term 9th Week Traditional Information Retrieval Systems 10th Week Content-based Information Retrieval Systems 11th Week Content-based Information Retrieval Systems 12th Week Efficient Data Structures and Techniques for Similarity Searching 13th Week Evaluating Retrieval Systems 14th Week Evaluating Retrieval Systems
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,Presentation,Practice,Problem Solving,Project,Report Preparation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 10 Project 1 20 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 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No