GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA BASE SYSTEMS AND PROGRAMS/İST3022
Course Title: DATA BASE SYSTEMS AND PROGRAMS
Credits 3 ECTS 4
Course Semester 6 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learning the structure and properties of the database.
The ability to use and manipulate information in databases that will be encountered in real life.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face and Lab application.
 --WEEKLY SCHEDULE
1. Week  Basic concepts
2. Week  Data Modeling
3. Week  Access (Base)
4. Week  SQL
5. Week  MySQL
6. Week  Data Manipulation Language (DML)
7. Week  Data Definition Language (DDL)
8. Week  Data Control Language (DCL), MIDTERM EXAM
9. Week  Linking tables
10. Week  Subqueries
11. Week  Reports
12. Week  SQL Server
13. Week  ORACLE
14. Week  ASP.NET and PHP
15. Week  FINAL EXAM
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
5
 Application
1
5
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
3
1
3
 Searching in Internet and Library
6
2
12
 Material Design and Implementation
2
5
10
 Report Preparing
5
2
10
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
3
4
12
 Final Exam and Preperation for Final Exam
4
4
16
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
105
 TOTAL WORKLOAD / 25: 
4.2
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Prof.Dr. Bülent ALTUNKAYNAK)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/bulenta)
 -- EMAIL(S) OF LECTURER(S)
   (bulenta@gazi.edu.tr)