Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Probabılıty IME 208 4 2 + 0 2 3
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 Temel Öğretim
Dersin Amacı

Understanding the basic principle of counting and the basic problems related with probability, recognizing of distributions

Dersin İçeriği

The basic principle of counting; Permutation concept and applications; Combination concept and applications; Binom's theorem; Concept of probability; Basic concepts of probability and probability axioms; Conditional probability and Bayes' theorem; Geometric probability problems; Random variable concept; Probability function; Probability density function; Expected value and variance of random variables; Moment generating functions and moments; Some discrete distributions; Bernoulli, binomial, geometric, hypergeometric, Poisson distributions; Some continuous distributions; Uniform distribution; Exponential distribution; Normal distribution and properties.

# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Students understand the basic principle of counting. Lecture, Drilland Practice, Testing,
2 Students can define permutations and combinations. Lecture, Drilland Practice, Testing,
3 Students can explain basic concepts about probability. Lecture, Drilland Practice, Testing,
4 Students can explain the conditional probability. Lecture, Drilland Practice, Testing,
5 Students can solve geometric probability problems. Lecture, Drilland Practice, Problem Solving, Testing,
6 Students can explain the probability function and the probability density function. Lecture, Drilland Practice, Testing,
7 Students can explain some discrete distributions. Lecture, Drilland Practice, Testing,
8 Students can explain some continuous distributions. Lecture, Drilland Practice, Testing,
Hafta Ders Konuları Ön Hazırlık
1 The basic principle of counting / Permutation concept and applications
2 Combination concept and applications / Binom's theorem
3 Concept of probability / Basic concepts of probability and probability axioms
4 Conditional probability and Bayes' theorem
5 Geometric probability problems / Random variable concept
6 Probability function / Probability density function
7 Expected value and variance of random variables
8 Moment generating functions and moments
9 Midterm
10 Some discrete distributions/ Bernoulli, binomial, geometric, hypergeometric, Poisson distributions
11 Some continuous distributions
12 Uniform distribution
13 Exponential distribution
14 Normal distribution and properties
Kaynaklar
Ders Notu
Ders Kaynakları

Olasılık ve İstatistik, Fikri Akdeniz, Akademisyen Kitabevi

Olasılık ve İstatistik - Problemler ve Çözümleri İle, Semra Oral Erbaş, Gazi Kitabevi

Olasılık Problemleri, Ömer Faruk Gözükızıl-Metin Yaman, Sakarya Yayıncılık

Olasılık, Hüseyin Demir, Nobel Akademik Yayıncılık

Olasılık Problemleri, Ömer Faruk Gözükızıl-Metin Yaman, Sakarya Yayıncılık

Olasılık ve İstatistik, Mustafa Balcı-Şükran Özdemir, Delta Kültür Yayınevi

 

 

Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 X
2 X
3 X
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ödev 20
1. Ara Sınav 40
1. Kısa Sınav 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 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 5 5
Quiz 2 3 6
Assignment 1 3 3
Final examination 1 5 5
Toplam İş Yükü 83
Toplam İş Yükü / 25 (Saat) 3,32
Dersin AKTS Kredisi 3