| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| -1 | BLP217 | Data Mining | 3+0+0 | 3 | 5 |
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Language of Instruction
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Turkish
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Level of Course Unit
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Associate Degree
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Department / Program
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Computer Programming
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Mode of Delivery
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Face to Face
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Type of Course Unit
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Elective
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Objectives of the Course
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To acquire basic information about the basic concepts of Data Mining and other disciplines (mathematics, statistics, data visualization, etc.) that data mining is related to.
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Course Content
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Basic information about Data Mining, the most used data mining algorithms and their applications.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Instructor Zeki ÇIPLAK
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Lecture Presentations
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Course Category
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Mathematics and Basic Sciences
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%10
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Field
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%90
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
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In-Term Studies
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Mid-terms
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1
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%
20
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Project
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1
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%
20
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Final examination
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1
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%
60
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Total
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3
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%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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Course Duration
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14
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3
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42
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Hours for off-the-c.r.stud
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14
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3
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42
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Mid-terms
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1
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1
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1
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Project
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14
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2
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28
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Final examination
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14
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1
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14
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Total Work Load
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Number of ECTS Credits 4
127
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Will be able to make basic definitions of data mining and explain basic data mining problems. |
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2
| By preparing a data set, it will be able to perform various analyzes such as data preprocessing, data visualization, summary statistics, etc. |
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3
| Will be able to explain the basic concepts of classification and use various classification techniques. |
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4
| Will be able to explain the basic concepts of clustering, will be able to perform clustering analysis with the K-Means method. |
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5
| Will have information about how the R programming language is used in data mining and will have the ability to code in the R programming language. |
Weekly Detailed Course Contents
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Contribution of Learning Outcomes to Programme Outcomes
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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=113563&curProgID=44&lang=en