COURSE UNIT TITLE

: DATA MINING IN MATHEMATICS EDUCATION

DEGREE PROGRAMMES

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

PROFESSOR DOCTOR 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 Course Overview, Evaluation
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 FCG FINAL COURSE GRADE
3 FCG FINAL COURSE GRADE MTEG * 0.40 + FCG * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

The homeworks will be assessed by directly adding to the term work scores in semester. The exam dates will be indicated in the lesson plan. As the exam dates become definite, the previously announced dates may change.

Assessment Criteria

In-class participation and written homework, end-of-semester final homework and short report presentation.

Language of Instruction

Turkish

Course Policies and Rules

1. It is obligated to continue to at least 70% of lessons .
2. Behaviours such as copying in exams, clashing and making intials in the publications will be concluded with the opening of a disciplinary investigation.
3. The instructor has right to make quizzes. The scores obtained from quizzes will be directly added to exam scores.

Contact Details for the Lecturer(s)

serkan.narli@deu.edu.tr
serkan.narli@gmail.com

Office Hours

Tuesday-16.00- Friday-16.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Theoretical 14 3 42
Pre Class Self Study 14 3 42
Project Preparation 1 20 20
Final Preparation 1 25 25
Research Presentation 8 4 32
Final Exam 1 1 1
Project Assignment 1 1 1
TOTAL WORKLOAD (hours) 163

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.12425
LO.22425

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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