Information Package

Master's of Computer Engineering without Thesis

BİL588

SPECIAL TOPICS IN COMPUTER ENGINEERING II

Course Code
BİL588
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionWeb 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
Recommended or Required Reading1. 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 Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
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 Work Load312
Total Work Load / 30 (h)10.4
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X X X X X
K2 X X
K3 X
K4 X
K5 X
K6 X X X
K7 X X X X X
K8 X X
K9 X
K10 X
K11 X X
K12 X X X