Course Name Code Semester T+U Hours Credit ECTS
Probability and Statistics Teaching IME 304 6 3 + 0 3 4
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Arş.Gör.Dr. ÖZKAN ERGENE
Course Lecturers Arş.Gör.Dr. ÖZKAN ERGENE,
Course Assistants

Res. Assist. Özkan ERGENE

Course Category Field Proper Education
Course Objective

The aim of this course is to support students’ development of fundamental statistical and probabilistic concepts and ideas and establish meaningful relationships among these concepts and ideas develop their statistical thinking and reasoning skills.

Course Content

Fundamental concepts, frequency distributions, histogram and frequency polygon, graphical representation of classified data and its application. Parametric and nonparametric central tendency measurements. Skewness and kurtosis. Fundamental concepts of probability theory. Rules of sum and product. Bayes theorem. Table of probability distribution. Expected value and applications. Fundamental concepts in piecewise probability distribution. Binomial, Poisson and Hypergeometric distributions.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Students will be able to prepare activities for effective learning by taking into account the basis of concepts related to probability and statistics and the learning theories. Drilland Practice, Self Study, Homework,
2 Students will be able to analyze students’ probabilistic and statistical thinking. Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 Students will be able to acknowledge the importance of tools, materials, and technology used in teaching of probability and statistics. Lecture, Question-Answer, Discussion, Testing, Homework,
4 Students will be able to design and implement a lesson plan on topics in the middle school mathematics curriculum. Drilland Practice, Self Study, Homework,
Week Course Topics Preliminary Preparation
1 Basic concepts of probability and types of probability.
2 Probability simulations and probability distributions.
3 Frequency distributions, histogram and frequency polygon.
4 Graphical representation of classified data and its applications.
5 Parametric and nonparametric central tendency measurements.
6 Skewness and kurtosis.
7 Fundamental concepts of probability theory.
8 Rules of sum and product, Bayes theorem
9 Midterm
10 Table of probability distribution, expected value and applications.
11 Fundamental concepts in piecewise probability distribution.
12 Binomial, Poisson and Hypergeometric distributions.
13 Understanding and interpreting students’ reasoning about the subjects in this course.
14 Relating the subjects in this course with daily life and other courses
Resources
Course Notes
Course Resources

Ortaokulda Matematik Öğretimi ( 5 - 8. Sınıflar ), Yaşar Baykul, Pegem

İlkokul ve Ortaokul Matematiği, John A. Van De Walle-Karen S. Karp-Jennifer M. Bay-Williams, Nobel Akademik Yayıncılık

İlköğretimde Matematik Öğretimi İlköğretim 2. Kademe - 6. 7. ve 8. Sınıflarda, Murat Altun, Alfa Aktüel Yayıncılık

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 X
2 X
3 X
4
5 X
6 X
7
8 X
9
10
11
12
13
14 X
15 X
16
17
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 20
1. Ödev 20
2. Kısa Sınav 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 3 3
Quiz 2 2 4
Assignment 1 4 4
Final examination 1 5 5
Total Workload 96
Total Workload / 25 (Hours) 3.84
dersAKTSKredisi 4