Electrical and Computer Engineering Graduate With Thesis
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 80511118 | Data Mining | 2023 | Autumn | 1 | 3+0+0 | 7,5 | 7,5 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Assoc. Prof. Muhammed KARAALTUN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Semih YUMUŞAK | - | [email protected] |
Course Content
Data mining; data preprocessing, reduction, data processing algorithms and methods.
Objectives of the Course
Understand the concept of data mining and its application areas and gain project development skills
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Veri madenciliğinin tanımı. |
| 2 | Veri madenciliği uygulama alanlarına, tekniklerine ve modellerine genel bakış. |
| 3 | Veri madenciliği aşamaları: Amacı belirleme. |
| 4 | Amaca uygun veri kümesi oluşturma (veri seçme). |
| 5 | Veri ayıklama ve önişleme. |
| 6 | veri azaltma ve veri dönüşümü. |
| 7 | veri madenciliği öğrenme algoritmasını seçme. |
| 8 | model değerlendirme ve bilgi sunumu, bulunan bilginin yorumlanması. |
| 9 | Veri Madenciliği öğrenme algoritmalarını inceleme: karar ağaçları, |
| 10 | Sınıflandırma |
| 11 | Eğri uydurma |
| 12 | Bağıntı kurma |
| 13 | Bellek tabanlı yöntemler |
| 14 | k-komşu algoritması |
Textbook or Material
| Resources | Data Mining, Concepts and Techniques 2nd Edition Jiawei Han and Micheline Kamber ISBN: 978-1-55860-901-3 |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||