• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 2006 DATABASE MANAGEMENT SYSTEMS COMPULSORY 3 0 0 3

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Course Objective

To define the concepts of database and database management systems, to explain the functions of database management systems, to grasp the fundamentals of the relational data model, to query data and to design a relational database step by step with Ms Access.

Learning Outcomes of the Course Unit

1   To be able to show practical ways of database design 2   To be able to apply basic database knowledge on computer 3   To be able to design database in daily applications 4   To be able to use application softwares at the predicted level 5   To be able to manage a database design project 6   To be able to identify data types and their differences 7   To be able to create relational data design in database management systems 8   To be able to conduct a step-by-step design of relational database

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Data and Database Concept 2 Database management system approach 3 Relational database concept and its advantages 4 Example database applications 5 Ms Access andSQL 6 Basic Access Objects: Tables, forms, queries, reports 7 Creating a database 8 Mid-term exam 9 Mid-term exam 10 Data input and inference 11 Form applications 12 Saving data 13 Report applications and authorizing access to database 14 Security settings, assessment of project involving database development and utilisation processes

Recomended or Required Reading

1.Adım Adım Access, Arkadaş Yayınları 2.Köseoğlu, K. (2005). Veri Tabanı Mantığı. Şefik Matbaası. Istanbul 3.Mannino, M. V. (2001). Database Application Development & Design. McGraw-Hill Companies. Newyork Hoffer, J. A., Prescott, M. B ve McFadden, F. R. (2005). Modern Database Management. Pearson Education Limited. New Jersey

Planned Learning Activities and Teaching Methods

Narrate Method,Discussing Method and Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term mark x 40 Mid-term exam x 50 Assignment x 50 Final exam mark x 60

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 1 12 Preparation for midterm exam 1 15 15 preparation for final exam 1 20 20 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 85

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1 LO.6 1 LO.7 1 LO.8 1