COURSE SYLLABUS

PROBABILITY AND STATISTICS IN ENGINEERING

1	Course Title:	PROBABILITY AND STATISTICS IN ENGINEERING
2	Course Code:	END5501
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	7,5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	Undergraduate Level Math Skills
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. Fatih ÇAVDUR
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	e-posta: fatihcavdur@uludag.edu.tr, Telefon: + 90 (224) 294 20 77 Adres: Uludağ Üniversitesi, Mühendislik-Mimarlık Fakültesi, Endüstri Mühendisliği Bölümü, Görükle Kampüsü, 16059 Nilüfer, Bursa
18	Website:
19	Objective of the Course:	Learning basic concepts of probability and statistics, and data analysis methods.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	Being able to understand the basics probability and statistics concepts.;
2	Being able to perform data analysis.;
3	Being able to conduct hypothesis testing.;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to Data Analysis -Introduction to Data Analysis Methods -Measures of Location and Variability
2	Introduction to Probability Concepts -Sample Space, Events, Probabilities of Events -Basic Definitions
3	Random Variables and Probability Distributions -Introduction to Random Variables, Definitions -Discrete and Continuous Random Variables
4	Expectation -Mean of a Random Variables -Definition of Expectation -Variance of a Random Variable
5	Discrete Probability Distributions -Bernoulli Process and Binomial Distribution -Negative Binomial, Geometric, Hypergeometric Distributions -Poisson Distribution
6	Continuous Probability Distributions -Uniform Distribution -Exponential Distribution
7	Continuous Probability Distributions (cont.) -Normal Distribution
8	Sampling Distributions -Random Sampling, Sampling Distributions, Central Limit Theorem -t-Distribution, F-distribution
9	One and Two Sample Estimation Problems -One and Two Sample Mean Estimation -One and Two Sample Proportion Estimation -One and Two Sample Variance Estimation
10	One and Two Sample Hypothesis Testing -One and Two Sample Hypothesis Testing about the Means, Proportions and Variances
11	Simple Linear Regression -Introduction to Linear Regression -Least Squares Method -ANOVA
12	Multiple Linear Regression -Coefficient Estimation -Inferences in Multiple Linear Regression -Categorical or Indicator Variables
13	One Factor Experiments -ANOVA Technique -Introduction to Experimental Design -One-Way ANOVA -Randomized Designs
14	Student Project Presentations

23	Textbooks, References and/or Other Materials:	1. Probability and Statistics for Engineers and Scientists; 9th Edition; Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, Pearson 2. Probability and Statistics for Engineering and the Sciences, Jay L. Devore, Duxbury Press
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	35
Quiz	0	0
Homeworks, Performances	1	30
Final Exam	1	35
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		65
Contribution of Final Exam to Success Grade		35
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	9	126
Homeworks, Performances	1	14	14
Projects	1	30	30
Field Studies	0	0	0
Midtermexams	1	5	5
Others	0	0	0
Final Exams	1	8	8
Total WorkLoad			225
Total workload/ 30 hr			7,5
ECTS Credit of the Course			7,5

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

	PQ1	PQ2	PQ3	PQ4	PQ5	PQ6	PQ7	PQ8	PQ9	PQ10	PQ11
LO1	1	3	1	5	1	1	1	3	1	1	1
LO2	1	3	1	5	1	1	1	3	1	1	1
LO3	1	3	1	5	1	1	1	3	1	1	1

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High