ENM352 Database Management and Data Mining

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM352
Name Database Management and Data Mining
Term 2025-2026 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Arş.Gör.Dr. IRFAN MACIT
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
Arş.Gör.Dr. IRFAN MACIT (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of the course is to design, develop and program a database system and to facilitate the basic concepts of

Course Content

Introduction to Database Management System, Database Design, Data Normalisation, Data Queries, Advanced Data Queries and Introduction to Data Mining and its Applications

Course Precondition

NONE

Resources

Lecture notes

Notes

Lecture notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Finding solutions to real life problems
LO02 Being able to design a Database Management System
LO03 Being able to use any of A Database Management System
LO04 Implementing SQL Query Language
LO05 Being able to use data mining techniques


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems.
PLO02 Bilgi - Kuramsal, Olgusal Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose.
PLO03 Bilgi - Kuramsal, Olgusal Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose. 1
PLO04 Bilgi - Kuramsal, Olgusal Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. 2
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility. 4
PLO10 Yetkinlikler - Öğrenme Yetkinliği Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. 3
PLO14 Yetkinlikler - Öğrenme Yetkinliği By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues.


Week Plan

Week Topic Preparation Methods
1 Database Management Introduction Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım
2 Database Design Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Data Normalization Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Data Queries Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Advanced Queries and Subqueries Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Forms Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Reports Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Study for Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Calculations and Data Manupilation Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Application Development Reading of related sources and lecture notes Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 Access Software SQL Develepment Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Data mining Introduction Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Data mining Applications Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 WEKA Data mining Software Introduction Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 WEKA data mining applications Reading of related sources and lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Study for Exam Yöntem Seçilmemiş
17 Term Exams Study for Exam Yöntem Seçilmemiş


Assessment (Exam) Methods and Criteria

Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Project / Design 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 1 6 6
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 18 18
Total Workload (Hour) 100
Total Workload / 25 (h) 4,00
ECTS 4 ECTS

Update Time: 06.05.2025 11:31