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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IME 6029 NLP TECHNICS ON MATHEMATIC EDUCATION ELECTIVE 3 0 0 7

Offered By

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR CENK KEŞAN

Offered to

ELEMENTARY MATHEMATICS TEACHER EDUCATION

Course Objective

Teaching mathematical concepts with NLP.

Learning Outcomes of the Course Unit

1   To understand NLP 2   To use NLP technics on subjects of mathematics education 3   To search relations between the mathematics teaching and the others by making use of NLP

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 General instructions about NLP 2 Using NLP technics on set concept 3 Teaching Natural Number concept with NLP technics 4 Teaching Integer concept with NLP technics 5 Teaching Fraction concept with NLP technics 6 Teaching Rational Number concept with NLP technics 7 Course overview, evaluation, Midterm Examination 8 Teaching Geometric concepts with NLP technics 9 Teaching Probability and Statistics with NLP technics 10 Teaching Equations and Inequalities with NLP technics 11 Teaching Modular Arithmetic concept with NLP technics 12 Teaching t Decimal number concept with NLP technics 13 Teaching Trigonometric concepts with NLP technics 14 General assessment of the subject instructed with NLP technics 15 Final exam

Recomended or Required Reading

Baran, Z. (2009). NLP Aslında Beyin Sizsiniz, Izmir: Bilgivizyon Yayınları, ISBN 975-010-121-2. Gün, N. (2007). NLP Zihninizi Kullanma Kılavuzu, Istanbul: Kuraldışı Yayınları, ISBN 9789752750616 Knight, S. (2000). Uygulamalarla NLP Işinizde Fark Yaratan Farklılıklar. Çeviren: I.G.Taffe,1.Basım, Sistem Yayıncılık, Istanbul: ISBN: 9789753221139

Planned Learning Activities and Teaching Methods

Learning and Student centered.

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

None

Assessment Criteria

Midterm exam, presentation and final exam

Language of Instruction

Turkish

Course Policies and Rules

Participation of %70 of course is obligatory Seventy percent of the course is obligatory to attend.

Contact Details for the Lecturer(s)

cenk.kesan @deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Tutorials 0 Lectures 14 3 42 Preparation for quiz etc. 0 Preparing assignments 0 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 20 20 Preparation for final exam 1 25 25 Preparing presentations 8 4 32 Quiz etc. 0 Final 1 1 1 Midterm 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 LO.1 3 4 3 LO.2 3 3 3 3 5 5 5 LO.3 3 3 3 3 5 5 5