Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Probabılıty and Statıstıcs Teachıng IME 304 6 3 + 0 3 4
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Doç.Dr. ÖZKAN ERGENE
Dersi Verenler Doç.Dr. ÖZKAN ERGENE,
Dersin Yardımcıları

Res. Assist. Özkan ERGENE

Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı

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.

Dersin İçeriği

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.

# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
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,
Hafta Ders Konuları Ön Hazırlık
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
Kaynaklar
Ders Notu
Ders Kaynakları

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

Sıra Program Çıktıları Katkı Düzeyi
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
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 40
1. Kısa Sınav 20
1. Ödev 20
2. Kısa Sınav 20
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
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
Toplam İş Yükü 96
Toplam İş Yükü / 25 (Saat) 3,84
Dersin AKTS Kredisi 4