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Information
| Code | IEM755 |
| Name | Data Mining Methods I |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SÜLEYMAN BİLGİN KILIÇ |
| Course Instructor |
1 |
Course Goal / Objective
Data mining course aims to produce useful information by means of discovering the patterns, basic relationships, interactions, changes, irregularities, rules, and statistically significant structures in the data
Course Content
The course covers the concept of data mining and design of the database, data warehousing and other storage techniques, database or data warehouse server, database objects creation and expansion, creation of database tables, designing and connecting database, creation and designing of the forms and sub forms, creation and designing of database queries, creation of reports, designing and summarizing the data, data cleaning, removing the noisy and inconsistent data, pattern evaluation and identification, data mining (application of intelligent methods to capture data patterns), presentation of information (to perform presentation of information to the users), convert HTML and ASP files to database objects, using and sharing the database on the internet, creation and using data access pages and query design in the data access pages, ensuring the security of the database
Course Precondition
no prerequisites
Resources
Internet resources of the relevant institution
Notes
Related computer packages
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains the ability to think analytically |
| LO02 | Gains the ability to perform statistical analysis using computer |
| LO03 | Gains the ability to produce useful information by means of discovering the patterns, basic relationships, interactions, changes, irregularities, rules, and statistically significant structures in the raw data |
| LO04 | collect and analyze the data |
| LO05 | Interpret the outputs obtained from estimated model |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | 4 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research | 1 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | 2 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 5 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 4 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study | 3 |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 2 |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | 2 |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The concept of data mining and design of the database, data warehousing and other storage techniques | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 2 | Database or data warehouse server, creation and expansion of database objects | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 3 | Creation, design and connection of database tables | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 4 | Creation and design of the database forms and sub forms | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 5 | Creation and design of database queries | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 6 | Creation of reports, design and summary of the data | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 7 | Data cleaning, removal of the noisy and inconsistent data | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Reading relevant parts in the source boks according to the weekly program | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Pattern evaluation and identification in the data | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 10 | Data mining (application of intelligent methods to capture data patterns) | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 11 | Presentation of information ( performing presentation of information to the users) | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 12 | Converting HTML and ASP files to database objects | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 13 | Using and sharing the database on the internet | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 14 | Creation and use of data access pages, and query design in the data access pages | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 15 | Ensuring the security of the database | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Reading relevant parts in the source boks according to the weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 17 | Term Exams | Reading relevant parts in the source boks according to the weekly program | 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 | 7 | 98 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 4 | 3 | 12 |
| Mid-term Exams (Written, Oral, etc.) | 2 | 2 | 4 |
| Final Exam | 2 | 2 | 4 |
| Total Workload (Hour) | 160 | ||
| Total Workload / 25 (h) | 6,40 | ||
| ECTS | 6 ECTS | ||