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Information
| Code | BL148 |
| Name | data mining |
| Term | 2024-2025 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Mahir ATMIŞ |
| Course Instructor |
Öğr. Gör. Mahir ATMIŞ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To introduce and implement techniques for extracting useful information from raw data.
Course Content
Data Mining Concepts, Data Preparation Techniques, Statistical Learning Theory (Naive Bayes), Clustering Methods (K-Means, hierarchical), Decision Trees and Decision Rules, Association Rules
Course Precondition
None
Resources
Özkan Y., (2016). Veri Madenciliği Yöntemleri, Papatya Yayıncılık, Baskı 3. Lecture Notes, Mahir Atmis
Notes
Kaggle Website Google Colab
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Lists data preprocessing methods. |
| LO02 | Remembers and applies the basic concepts of Data Mining. |
| LO03 | Lists data reduction methods. |
| LO04 | Lists clustering methods. |
| LO05 | Implements classification and clustering methods with and without trainer. |
| LO06 | Applies association rules to problems. |
| LO07 | Applies a data mining algorithm. |
| LO08 | Designs a data mining model. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Lists basic, current and applied knowledge about Computer Technologies. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Remembers knowledge about occupational health and safety, environmental awareness, and quality processes. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Lists basic electronic components comprising computer hardware and their operations. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Remembers the knowledge about Atatürk's Principles and History of Revolution. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Keeps track of current developments and applications in computer programming, and utilizes them effectively. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Solves problems in the field of computer programming. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Creates algorithms and data structures, and performs mathematical calculations. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Explains and implements web programming technologies. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Performs database design and management. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Tests software and resolves errors. | 3 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Can utilize software and package programs in the field of computer programming. | 5 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Explains, designs and installs network systems. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Uses word processor, spreadsheet, presentation programs. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Can effectively present thoughts on computer technologies through written and verbal communication, expressing them clearly and comprehensibly. | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes responsibility as a team member to solve unforeseen complex problems encountered in practical applications of computer programming. | 5 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Has awareness in career management and lifelong learning. | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Has societal, scientific, cultural, and ethical values in the collection, application, and announcement of results related to computer technologies. | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Follows developments in the field using a foreign language and communicates with colleagues. | |
| PLO19 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Can effectively communicate in Turkish both in written and oral forms. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Data Mining | Study the examples in the relevant book | Öğretim Yöntemleri: Anlatım |
| 2 | Data Mining Processes | Study the examples in the relevant book | Öğretim Yöntemleri: Anlatım |
| 3 | Classification Algorithms | Study the examples in the relevant book | Öğretim Yöntemleri: Anlatım |
| 4 | Data Preprocessing Steps | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Classification with Decision Trees | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | K-means Clustering Algorithm | Study the examples in the relevant book | Öğretim Yöntemleri: Anlatım |
| 7 | Classification and Evaluation | Study the examples in the relevant book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Studying the repetitions of topics in the relevant book | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Memory Based Classification | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | Statistical Classification Models | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Clustering | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Association Rules | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Data Mining Tools and Software | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Data Mining Applications-1 | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Data Mining Applications-2 | Study the examples in the relevant book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Studying the repetitions of topics in the relevant book | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Studying the repetitions of topics in the relevant book | Ölçme Yöntemleri: Yazılı Sınav |
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 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 3 | 3 |
| Total Workload (Hour) | 77 | ||
| Total Workload / 25 (h) | 3,08 | ||
| ECTS | 3 ECTS | ||