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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  2. Course Structure Diagram with Credits
  3. Methodology in the Area of Specialization II
  4. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 27/06/2013

Code - Course Title Course Type Laboratory + Practice ECTS
ÖMB302 - Methodology in the Area of Specialization II VI. SEMESTER 2 +2 6.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) PROF. DR. NİLÜFER KÖSE, PROF. DR. DİLEK TANIŞLI
Mode of Delivery The mode of delivery of this course is face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None
Recommended Resources *Altun, Murat (2000) Matematik Öğretimi. Bursa: Erkam Matbaası *Olkun, S.& Toluk-Uçar, Z. (2007). İlköğretimde Etkinlik Temelli Matematik Öğretimi. Ankara: Maya Akademi. *Billstein, R., Libeskind, S. & Lott, J. (2007). A problem solving approach to mathematics for elementary school teachers. Boston: Pearson, Addison Wesley.
Work Placement Not Applicable
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Knowledge of subject matter: Pattern, variable, algebraic expression, equation
Week - 2 teaching activities about pattern and algebraic expression
Week - 3 teaching activities about equation and inequalities
Week - 4 teaching activities about algebraic expression and polygons
Week - 5 teaching activities about transformation geometries
Week - 6 Teaching related to measurement issues
Week - 7 Teaching related to measurement issues
Week - 8 instruction of topics relating to learning domains of measurement
Week - 9 instruction of topics relating to learning domains of measurement
Week - 10 teaching activities about areas of quadrilaterals and triangles.
Week - 11 teaching activities relating to circle- geoemtric objects
Week - 12 instruction of topics relating to data analysis/probability.
Week - 13 instruction of topics relating to data analysis/probability.
Week - 14 instruction of topics relating to data analysis/probability.

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
Final Exam 1 40
Homework 1 35
Toplam (%) 100

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