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)	Professor Nizami Gasilov Associate Professor Mustafa Sert Associate Professor Emre Sümer Assistant Professor Tülin Erçelebi Ayyıldız Assistant Professor Mehmet Dikmen
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know web database programming 2) Know XML: Extensible Markup Language 3) Know the concepts of data mining 4) Know the concepts of data warehousing and OLAP 5) Know the emerging database technologies and applications
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Web Database Programming using PHP. XML: Extensible Markup Language. Data Mining Concepts. Overview of Data Warehousing and OLAP. Emerging Database Technologies: Mobile Databases, Multimedia Databases. Geographic Information Systems (GIS). Genome Data Management Applications.
COURSE CONTENTS	WEEK TOPICS 1st Week Web Database Programming using PHP 2nd Week Web Database Programming using PHP 3rd Week XML: Extensible Markup Language 4th Week XML: Extensible Markup Language 5th Week Data Mining Concepts 6th Week Data Mining Concepts 7th Week Overview of Data Warehousing and OLAP 8th Week Mid-term 9th Week Emerging Database Technologies: Mobile Databases 10th Week Emerging Database Technologies: Multimedia Databases 11th Week Emerging Database Technologies: Geographic Information Systems (GIS) 12th Week Emerging Database Technologies: Genome Data Management 13th Week Applications 14th Week Review
RECOMENDED OR REQUIRED READING	1. Elmasri, R. & Navathe, S.B., "Fundamentals of Database Systems", 6th edition, Addison-Wesley, (2010). 2. Silberschatz, A., Korth, H.F. & Sudarshan, S., "Database System Concepts", 6th edition, McGraw-Hill, (2010). 3. Brookshear, G.J., "Computer Science: An Overview", 11th edition, Pearson Education, (2012).
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Practice,Project,Report Preparation,Presentation,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 15 Project 1 15 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 6 84 Preparation for Final exam 1 70 70 Course hours 14 3 42 Preparation for Midterm exam 1 50 50 Laboratory (including preparation) Final exam 1 2 2 Homework Project 1 62 62 Total Workload 312 Total Workload / 30 10,4 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No