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
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
Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2
Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3
Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4
Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5
Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6
Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7
Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8
Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9
Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10
Possesses ethical principles and scientific values in collection, interpretation and release of data.
