Bayburt University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
İ217B3	Probability and Statistics	Compulsory	2	3	3

Level of Course Unit

First Cycle

Objectives of the Course

To comprehend basic probability and statistical information in order to comprehend engineering problems handled with probabilistic approach. Learning basic statistical concepts, Learning sampling theories, Hypothesis testing, Regression analysis

Name of Lecturer(s)

Dr. Öğr. Üyesi Bilal TAYFUR

Learning Outcomes

1	Defining Basic Statistical Terms
2	Basic Statistical Graphs: Histogram, Root-Leaf Graphs
3	Understanding Probability Theory, Conditional Probability, Bayes Theorem
4	Distribution of Random Variables
5	Learning Bernoulli Process, Binomial Distribution, Poisson Distributions
6	Understanding Standard Normal Distribution, Lognormal Distribution
7	Learning Variance and Covariance of Random Variables
8	Understanding the concept of Correlation Coefficient
9	Understanding the concept of sampling distribution
10	Making Estimates, Understanding the Concept of Confidence Intervals, Establishing Hypothesis Tests

Mode of Delivery

Normal Education

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Basic Statistical Terms, Histogram, Root-leaf graphs, Probability Theory, Conditional Probability, Bayes Theorem, Distribution of Random Variables, Bernoulli Process, Binomial Distribution, Poisson Distribution, Standard Normal Distribution, Lognormal Distribution, Variance and Covariance of Random Variables, Correlation Coefficients, Sample Distributions, Estimation, Confidence Intervals, Hypothesis Testing

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Basic concepts about statistics
2	Engineering statistics
3	Deskriptive statistics
4	Location and distribution measures
5	Probability theory
6	Applications of probability theory
7	Population migrations
8	Midterm
9	Distributions related to normal distribution
10	Sampling methods and sample distributions
11	Estimation theory
12	Hypothesis tests
13	Regression and correlation
14	Analysis of variance
15

Recommended or Required Reading

A. Gündüz, Mühendislikte Olasılık, İstatistik, Risk ve Güvenilirlik, İnşaat Mühendisleri Odası,İstanbul M. Bayazıt, B. Oğuz, Mühendisler için İstatistik, Birsen Yayınevi, İstanbul N. Yıldız, Ö. Akbulut, H. Bircan, İstatistiğe Giriş, Aktif Yayıncılık M. Akkurt, Bilgisayar (Excel) Destekli Uygulamalı İstatistik, 1999, Birsen Yayınevi, İstanbul V. N. Tekin, SPSS Uygulamalı İstatistik Teknikleri, 2006, Seçkin Yayıncılık, Ankara

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	1	1
Final Examination	1	2	2
Makeup Examination	1	2	2
Quiz	5	1	5
Attending Lectures	14	3	42
Individual Study for Mid term Examination	4	2	8
Individual Study for Final Examination	5	2	10
Individual Study for Quiz	5	2	10
Homework	5	3	15
TOTAL WORKLOAD (hours)			95

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11	PO 12	PO 13
LO1	5	2	4	4	1	3	2	2	2	2	2	1	1
LO2	5	1	4	4	1	2	2	2	2	2	2	1	1
LO3	5	1	4	4	1	2	2	2	2	2	1	1	1
LO4	5	2	4	4	1	2	2	2	2	2	1	1	1
LO5	5	1	4	4	1	2	2	2	1	2	1	1	1
LO6	5	1	4	4	1	2	2	2	1	1	1	1	1
LO7	5	2	4	4	1	1	1	1	1	2	1	1	1
LO8	5	2	4	4	1	2	2	2	1	2	1	1	1
LO9	5	2	4	4	1	2	1	2	2	1	1	1	1
LO10	5	2	4	4	1	2	2	1	2	2	1	1	1

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High