Course Code:
EDEM 104
Course Period:
Spring
Course Type:
Core
Credits:
2
ECTS:
4
Course Coordinator:
Course Objectives:
The aim of this course is to discuss both fundamental concepts and theorems of geometry and data and statistics covered in mathematics curriculum and also the relationships between those concepts.
Course Content:
 The properties and concepts under geometry, statistics and probability domains in the mathematics curriculum (fundamental geometric concepts and constructions, triangles and quadrilaterals, triangles, measurement of length and time, measurement of area, geometric solids, angles, lines and angles, circle, measurement of liquid, transformations, polygons, sight views of geometric solids, congruency and similarity, data collection and evaluation, data analysis, probability of simple events); relationship between those concepts, discussion of mathematical concepts and use of multiple representations.

Course Methodology:
1. Lecture 2. Case study 3. Discussion 4. Demonstration 5. Group work 6. Microteaching 7. Problem solving
Course Evaluation Methods:
A. Supply type B. Multiple-choice test C. Incomplete D. True-False E. Oral exam F. Portfolio G. Performance type H. Report

## Vertical Tabs

### Course Learning Outcomes

 Learning Outcomes Program Outcomes Teaching Methods Assessment Methods 1) Explains fundamental concepts of Euclidean geometry. 1, 2 1, 7 A, E 2) Sketches fundamental constructions of geometry. 1, 2, 9 1, 7 A, E 3) Solves problems and prove theorems of fundamental concepts in Euclidean geometry. 1, 2, 3, 4 1 A, E 4) Explains fundamental concepts of data and statistics. 1, 3, 4 1 A, E 5) Solves problems about data collection and analysis. 1, 3, 4 1, 7 A, E 6) Explains probability concepts and solves probability problems. 1, 3, 4 1, 7 A, E

### Course Flow

 COURSE CONTENT Week Topics Study Materials 1 Characteristics of Euclidean geometry 2 Lines and angles 3 Fundamental constructions in geometry 4 Triangles 5 Quadrilaterals 6 Circle 7 Measurement 8 Midterm 9 Transformations 10 Data collection 11 Measures of central tendency and dispersion 12 Make tables and charts 13 Basic probability 14 Probability problems

### Recommended Sources

 RESOURCES Compulsory Eves, H. (1990). Foundations and fundamental concepts of mathematics. New York: Dover Recommended TÜBİTAK Popüler Bilim Yayınları

### Material Sharing

 COURSE MATERIALS Documents Hand-outs for in-class activities Assignments Exams Midterm, quizzes and final exam

### Assessment

 ASSESSMENT IN-TERM STUDIES Quantity Percentage Midterm 1 40 Final 1 40 Quiz 2 20 Total 100 Contribution of Final Exam to Overall Grade 40 Contribution of In-term Studies to Overall Grade 60 Total 100

### Course’s Contribution to Program

 COURSE CONTRIBUTION TO PROGRAM OUTCOMES No Program Outcomes Level of contribution 1 2 3 4 5 1 Knows historical, cultural and scientific developments of the mathematical concepts covered in elementary school mathematics curriculum X 2 Applies fundamental mathematical and geometric concepts into other disciplines and real life situations X 3 Applies mathematical processes (e.g. problem solving, proving theorems, etc.) into given cases accurately. X 4 Plans mathematics teaching process in line with the elementary school curriculum’s vision, philosophy and goals X 5 Uses teaching strategies and techniques that are appropriate for students’ age, grade level, individual differences and readiness level X 6 Determines and applies appropriate strategies and materials to foster and evaluate students’ mathematical thinking skills. X 7 Uses and develops appropriate resources and materials to teach mathematics X 8 Monitors students’ learning process, development and achievement and assesses them by using appropriate assessment tools X 9 Improves professional knowledge by following recent issues in mathematics education X 10 Contributes to the development of mathematics education by doing scientific research X

### ECTS

 ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION Activities Quantity Duration (Hour) Total Workload (Hour) Course hours (including the exam week: 15 x total course) 15 2 30 Hours for off-the-classroom study (pre-study, practice) 15 1 15 Midterm 1 5 5 Quiz 2 2 4 Final 1 5 5 Total Workload 59 Total Workload / 25 (hours) 2,36 ECTS 2