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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (MASTER) (WITH THESIS) | |
| Code | IEM755 |
| Name | Data Mining Methods I |
| Term | 2024-2025 Academic Year |
| Term | Fall and 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 |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim is to discover patterns, fundamental relationships, interactions, changes, irregularities, rules, and statistically significant structures within data to generate useful information.
Course Content
concept of data mining and database design, examining data warehousing and other storage techniques. The use of database and data warehouse servers is emphasized, along with the creation, design, and linking of database objects, tables, forms, and subforms. Query creation and design in databases are explored, along with report generation, data summarization, and data cleaning techniques. The process of removing noisy and inconsistent data is examined, along with the application of data mining methods to capture data patterns and evaluate patterns. Information presentation techniques are analyzed to effectively deliver extracted knowledge to users, and the conversion of database objects into HTML and ASP files is discussed. The course also explores database usage and sharing over the Internet, the creation of data access pages, query design, and database security management.
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 |
| LO06 | Explains the processes, fundamental concepts, and application areas of data mining. |
| LO07 | Applies data storage, data warehousing, and data management processes on large datasets. |
| LO08 | Creates, manages, and applies security measures for database objects. |
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 | |
| 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 of research | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| 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 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 2 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO17 | 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 |
| 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 | |
| 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 | Research | Öğretim Yöntemleri: Anlatım |
| 2 | Database or data warehouse server, creation and expansion of database objects | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Creation, design and connection of database tables | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Creation and design of the database forms and sub forms | Research | Öğretim Yöntemleri: Anlatım |
| 5 | Creation and design of database queries | Research | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası |
| 6 | Creation of reports, design and summary of the data | Research | Öğretim Yöntemleri: Anlatım |
| 7 | Data cleaning, removal of the noisy and inconsistent data | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Pattern evaluation and identification in the data | Araştırma | Öğretim Yöntemleri: Anlatım |
| 10 | Data mining (application of intelligent methods to capture data patterns) | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Presentation of information ( performing presentation of information to the users) | Research | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 12 | Converting HTML and ASP files to database objects | Research | Öğretim Yöntemleri: Anlatım |
| 13 | Using and sharing the database on the internet | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Creation and use of data access pages, and query design in the data access pages | Research | Öğretim Yöntemleri: Anlatım |
| 15 | Ensuring the security of the database | Research | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Term Exams | 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 | ||