The main purpose of this course is to teach data mining approaches to the participants and make them able to process a dataset, handle the outliers and missing data, analyze the data, find the clues, discover the trends and features, and predict or classify the unknown/uncertain data.
Prerequisite(s)
N/A but Python is preferable.
Corequisite(s)
N/A
Special Requisite(s)
N/A
Instructor(s)
Lecturer Dr. Tevfik Uyar, Pınar Sarp
Course Assistant(s)
Schedule
Thursday, 15:00
Office Hour(s)
Thursday, 18:00
Teaching Methods and Techniques
-Explanation, exploration and application.
Principle Sources
Tan, Steinbach and Kumar (2013) - Intruduction to Data Mining
Larose (2004) - Discovering Knowledge in Data
Other Sources
Various data repositories on Internet.
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to Data Mining
Lectures
2. Week
Types of Data
Lectures
3. Week
Quality of Data
Lectures
4. Week
Data Preprocessing-1
Lectures
5. Week
Data Preprocessing-2
Lectures
6. Week
Exploring Data
Lectures
7. Week
Statistical Approaches
Lectures
8. Week
Midterm
Exam
9. Week
Midterm
Exam
10. Week
k-Neighbor Algorithm
Lectures
11. Week
Decision Trees
Lectures
12. Week
Clustering
Lectures
13. Week
Using Excel in Data Mining
Lectures
14. Week
Using Python in Data Mining
Lectures
15. Week
Final
Exam
16. Week
Final
Exam
17. Week
Final
Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Quizzes
5
30
Final Exam
1
40
Program Outcomes
PO-1
Demonstrates a basic level of understanding in related disciplines (such as economics, sociology, psychology, quantitative sciences, etc.) that form a foundation for business administration, and makes use of and applies them to the field of business.
PO-2
Applies mathematical, scientific and social knowledge to business problems.
PO-3
Demonstrates a basic level of understanding in business functions and management (such as management, production, marketing, accounting, finance, human resources, behavioural sciences, etc.) and interprets the theoretical arguments focusing on interactions between the actors and the cultures in the field.
PO-4
Determines how to use acquired theoretical and practical knowledge and skills related to business in application and field analysis and applies them.
PO-5
Identifies and evaluates the relations in the field of business; describes the problems and presents analytical solutions through modelling and interpreting (critical thinking).
PO-6
Designs a business process in any functional stage that complies with identified objectives.
PO-7
Develops effective business communication skills (written-verbal/formal-informal).
PO-8
Owns effective working skills individually or on a team in business and multidisciplinary fields.
PO-9
Acts with a sense of professional and ethical responsibility.
PO-10
Improves effective verbal and written communication skills in English, and acquires competence in minimum one foreign language.
