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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS FBE 7000 SPECIAL TOPICS ELECTIVE 3 0 0 5

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Statistics (English)

Course Objective

The goal of this course is to understand and to be able to programmatically apply the basic concepts of data mining. Topics include Data mining theory and algorithms, Programming data mining algorithms, Acquiring, parsing, filtering, mining, representing, refining and interacting with data, Data visualization.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description

Recomended or Required Reading

Textbook(s): Larose D., Discovering Knowledge in Data:An introduction to data mining, John Wiley & Sons, Inc., 2005 Supplementary Book(s): P. Tan, M. Steinbach and V. Kumar, Introduction to Data Mining, Addison Wesley, 2006

Planned Learning Activities and Teaching Methods

Assessment Methods

Successful / Unsuccessful *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced

Language of Instruction

English

Course Policies and Rules

To be announced

Contact Details for the Lecturer(s)

e-mail: efendi.nasibov@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) TOTAL WORKLOAD (hours) 0

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10