PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MENG 321	STATISTIC	2 + 0	5th Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	Purpose of this course is to teach fundamental concepts of probability and statistics from an engineering perspective.
Course Content	Fundamentals of probability, sample space and events, definitions of probability, conditional probability, independence of events, Bayes Theorem, discrete random variables, probability mass function, discrete uniform and Binomial distributions, continuous random variables, probability density function, cumulative distribution function, uniform distribution, normal distribution, descriptive statistics, sampling distribution, point estimation, interval estimation, hypothesis testing, simple linear regression.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Lists basic probability concepts
2	Explains statistical estimation
3	Explains simple linear regression

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	5	2		2	3
LO 002	5	2		2	3
LO 003	5	2		2	3
Sub Total	15	6		6	9
Contribution	5	2	0	2	3	0	0	0	0	0	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	2	28
Assignments	10	2	20
Mid-terms	1	22	22
Final examination	1	34	34
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	3	SERKAN AKOĞUL

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MENG 321	STATISTIC	2 + 0	3	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. SERKAN AKOĞUL	sakogul@pau.edu.tr		MUH A0327	%70

Goals		Purpose of this course is to teach fundamental concepts of probability and statistics from an engineering perspective.
Content		Fundamentals of probability, sample space and events, definitions of probability, conditional probability, independence of events, Bayes Theorem, discrete random variables, probability mass function, discrete uniform and Binomial distributions, continuous random variables, probability density function, cumulative distribution function, uniform distribution, normal distribution, descriptive statistics, sampling distribution, point estimation, interval estimation, hypothesis testing, simple linear regression.

Topics

Weeks	Topics
1	Statistics in engineering
2	Descriptive statistics
3	Introduction to probability
4	Discrete random variables and probability mass function
5	Uniform, Binomial and Poisson distributions
6	Continuous random variables
7	Probability density and cumulative distribution functions
8	Midterm
9	Normal distribution
10	Sampling distribution
11	Point estimation
12	Interval estimation
13	Hypothesis testing
14	Simple linear regression

Materials

Materials are not specified.

Resources

Resources	Resources Language
Sheldon Ross, "Olasılık ve İstatistiğe Giriş", 4. Baskıdan Çeviri, Nobel Yayınevi. (Ders Kitabı)	Türkçe
Walpole, Myers ve Ye, "Olasılık ve İstatistik", 9. Baskıdan Çeviri, Palme Yayınevi	Türkçe
Montgomery and Runger, "Applied Statistics and Probability for Engineers", 6th Edition, Wiley	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student