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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
MÜHENDİSLER İÇİN OLASILIK VE İSTATİSTİK BSM 529 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi MUSTAFA AKPINAR
Dersi Verenler Dr.Öğr.Üyesi MUSTAFA AKPINAR
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı

Gaining the required probability and statistics knowledge to be able to realize scientific and engineering studies.

Dersin İçeriği

Introduction to Statistics, Descriptive Statistics, Elements of Probability, Random Variables and Expectation, Special Random Variables, Distributions of Sampling Statistics, Parameter Estimation, Hypothesis Testing, Regression, Analysis of Variance, Goodness of Fit Tests and Categorical Data Analysis, Non Parametric HypothesisTests, Quality Control, LifeTesting

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Learns the concepts of probability and statistics 1 - 2 - 15 - A - C -
2 - Defines the mathematical models of complex probability problems 1 - 2 - 15 - A - C -
3 - Calculates the expected value and variance of repeating events' results 1 - 2 - 15 - A - C -
4 - Offers solution to the computer engineering problems 1 - 2 - 15 - A - C -
5 - Solves probability problems by using software 1 - 2 - 15 - A - C -
6 - Gains the ability to solve problems by using theoretical and statistical technics 1 - 2 - 15 - A - C -
7 - Can analyse data by using statistical methods 1 - 2 - 15 - A - C -
8 - Can for hypothesis tests and solve them 1 - 2 - 15 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 15:Problem Solving
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Statistics
2 Descriptive Statistics
3 Elements of Probability
4 Random Variables and Expectation
5 Special Random Variables
6 Distributions of Sampling Statistics
7 Parameter Estimation
8 Hypothesis Testing
9 Regression
10 Analysis of Variance
11 Goodness of Fit Tests and Categorical Data Analysis
12 Non Parametric HypothesisTests
13 Quality Control
14 LifeTesting

Kaynaklar

Ders Notu

Olasılık ve İstatistiğe Giriş Mühendisler ve Fenciler İçin, Sheldon M. Ross, Çeviri Editörleri: Prof. Dr. Salih Çelebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan Çeviri, Nobel, 2012

Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press.

Ders Kaynakları

Olasılık ve İstatistiğe Giriş Mühendisler ve Fenciler İçin, Sheldon M. Ross, Çeviri Editörleri: Prof. Dr. Salih Çelebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan Çeviri, Nobel, 2012

Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press.


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
Odev 1 20
Odev 2 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(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 3 48
Mid-terms 1 18 18
Assignment 2 15 30
Toplam İş Yükü 144
Toplam İş Yükü /25(s) 5.76
Dersin AKTS Kredisi 5.76
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