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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IBGL 110DATABASE I3 + 11st Semester5

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Compulsory
Course Objective To give students ability to design and create database, make queries and use databse management functions.
Course Content Normalization, Installing Database Tools, Tables, Queries
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Designs databases
2Creates databases
3Makes queries
4Uses database management functions

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 00154 4   5      
LO 00254 4   5      
LO 00355 4   5      
LO 00455 5   5      
Sub Total2018 17   20      
Contribution55040005000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Hours for off-the-classroom study (Pre-study, practice)14456
Midterm (Student)188
Exam11010
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Fall1FARUK ŞENTÜRK
Details 2023-2024 Fall1İHSAN ÖZER


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IBGL 110 DATABASE I 3 + 1 1 Turkish 2023-2024 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer FARUK ŞENTÜRK fsenturk@pau.edu.tr DTMYO A0214 EGT A0022-13 %70
Goals To give students ability to design and create database, make queries and use databse management functions.
Content Normalization, Installing Database Tools, Tables, Queries
Topics
WeeksTopics
1 Entry into the database, database and data modeling, DBMS types and concepts
2 ER model, the presence of a set of assets, attributes, relations concepts, relationship types
3 Key areas, foreign key, descriptive qualities, to be converted to the correlation table
4 Relational database
5 Creating relational algebra and tables in MS Access application, field types, relationship identification, reporting, query and form design
6 The use of structured query language SQL and function
7 Querying data from related tables
8 Midterm
9 Data analysis and multiple tables
10 SQL functions and complex queries
11 DML commands
12 Statements made by the SQL command
13 Database objects
14 User access and control
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes