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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Data Mining MEN415 Elective Bachelor's degree 4 Fall 5

Name of Lecturer(s)

Associate Prof. Dr. Burcu ÖZCAN TÜRKKAN
Assistant Prof. Dr. Mehlika KOCABAŞ AKAY

Learning Outcomes of the Course Unit

1) Students can choose which method is more appropriate on a given data set by comparing the results of different algorithms.
2) Students can analyze data mining problems, the data mining tasks can be performed independently.
3) Students can read scientific papers on data mining, can interpret.
4) Students can remove the pattern by using a variety of algorithms .

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11
Learning Outcomes
1 No relation Low Low No relation No relation No relation No relation No relation Middle No relation No relation
2 No relation Low No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation Low No relation
4 No relation Low No relation No relation Middle No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

This course includes applied scientific research writing, defining large datasets, evaluating a research problem, research questions and their implications, collecting and preparing real-world data, data analysis methods, choosing an analysis method, data analysis, solving the problem. At the end of the course, an empirical research report will be prepared and presented using modern data mining methods.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Language of Instruction

Turkish

Work Placement(s)

Not Required