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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IME 5017 DATA MINING IN MATHEMATICS EDUCATION ELECTIVE 3 0 0 7

Offered By

Primary Mathematics Teacher Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SERKAN NARLI

Offered to

Primary Mathematics Teacher Education

Course Objective

Comprehending of data mining and understanding of the place of it in mathematics education

Learning Outcomes of the Course Unit

1   Know the data mining and data mining techniques 2   Ientify the place of data mining in mathematics education

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 What is data and data mining 2 Classification of Data Mining Systems 3 Factors Affecting the Development of Data Mining 4 Tasks of data mining 5 Implementation Steps of Data Mining 6 Descriptive Methods 7 Data mining softwares 8 Midterm exam 9 Relation to Other Disciplines of Data Mining 10 Mathematics Education and Data Mining 11 Examination of the data 12 Model Creation 13 Articles in data minings 14 Evaluation of the course 15 Final exam

Recomended or Required Reading

1. Introduction to Data Mining, P. N. Tan, M. Steinbach, V. Kumar, Addison Wesley, 2006 2. Dunham, M.H., Data Mining: Introductory and Advanced Topics, Prentice Hall, New Jersey, 2003 3. (Kavram ve Algoritmalarıyla) Veri Madenciliği. Gökhan Silahtaroğlu, ISBN: 978-975-6797-81-5, Papatya Yayıncılık, 2008 4. Veri Madenciliği Yöntemleri. Yalçın Özkan, ISBN: 978-975-6797-82-2, Papatya Yayıncılık, 2010

Planned Learning Activities and Teaching Methods

Lecture and presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE 4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE MTEG * 0.30 + ASG * 0.10 + RST * 0.60 *** 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

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Application 0 Theoretical 14 3 42 Quiz Preparation 0 Paper Preparation 0 Others (Please indicate) 0 Pre Class Self Study 14 3 42 Midterm Preparation 1 20 20 Final Preparation 1 25 25 Research Presentation 8 4 32 Quizzes 0 Final Exam 1 1 1 Midterm Exam 1 1 1 TOTAL WORKLOAD (hours) 163

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 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 2 4 2 5 LO.2 2 4 2 5