COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Database Management and Data Mining * ENM   352 6 3 3 4

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Res.Asst. Irfan MACIT
Instructors
Dr. Öğr. ÜyesiYUSUF KUVVETLİ1. Öğretim Grup:A
 
Assistants
Goals
The aim of the course is to design, develop and program a database system and to facilitate the basic concepts of
Content
Introduction to Database Management System, Database Design, Data Normalisation, Data Queries, Advanced Data Queries and Introduction to Data Mining and its Applications

Learning Outcomes
-


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Has sufficient background on topics related to mathematics, physical sciences and industrial engineering.
X
2
Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods.
X
3
Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems .
X
4
Gains ability to choose and apply methods and tools for industrial engineering applications.
X
5
Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions.
X
6
Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team.
X
7
Can access information and to search/use databases and other sources for information gathering.
X
8
Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously.
X
9
Can use computer software in industrial engineering along with information and communication technologies.
X
10
Can use oral and written communication efficiently.
X
11
Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession.
X
12
Has a conscious understanding of professional and ethical responsibilities.
X
13
Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice.
X
14
Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering.
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Database Management Introduction Reading of related sources and lecture notes
2 Database Design Reading of related sources and lecture notes
3 Data Normalization Reading of related sources and lecture notes
4 Data Queries Reading of related sources and lecture notes
5 Advanced Queries and Subqueries Reading of related sources and lecture notes
6 Forms Reading of related sources and lecture notes
7 Reports Reading of related sources and lecture notes
8 Midterm exam Study for Exam
9 Calculations and Data Manupilation Reading of related sources and lecture notes
10 Application Development Reading of related sources and lecture notes
11 Access Software SQL Develepment Reading of related sources and lecture notes
12 Data mining Introduction Reading of related sources and lecture notes
13 Data mining Applications Reading of related sources and lecture notes
14 WEKA Data mining Software Introduction Reading of related sources and lecture notes
15 WEKA data mining applications Reading of related sources and lecture notes
16-17 Final exam Study for Exam

Recommended or Required Reading
Textbook
Additional Resources