PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MAT 357	PROBABILITY AND STATISTICS	3 + 0	5th Semester	5,5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	The goal of this course is to introduce students to the basic probability theory and mathematical statistics and help them in establishing a good theoretical background for their future professions.
Course Content	Datum Collecting, Sample Spaces and Events, Permutation and Combination, Probability of an Event, Random Variables and Expected Value, Discrete Probability Distributions.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Solution to the basic probability problems encountered in daily life.
2	Creating confidence intervals for population parameters and testing of hypotheses.
3	The analysis of variance with the statistical evaluation of data.
4	The ability of creating regression equations and analysing.

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
LO 001		4	4			3		4	5
LO 002		3	4			4		5	4
LO 003		4	3			3		4	4
LO 004		4	4			4		4	4
Sub Total		15	15			14		17	17
Contribution	0	4	4	0	0	4	0	4	4	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	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Mid-terms	1	38	38
Final examination	1	35	35
Total Work Load ECTS Credit of the Course			143 5,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MAT 357	PROBABILITY AND STATISTICS	3 + 0	2	Turkish	2021-2022 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. FADİME GÖKÇE	fgokce@pau.edu.tr		FEN A0315	%60

Goals		The goal of this course is to introduce students to the basic probability theory and mathematical statistics and help them in establishing a good theoretical background for their future professions.
Content		Datum Collecting, Sample Spaces and Events, Permutation and Combination, Probability of an Event, Random Variables and Expected Value, Discrete Probability Distributions.

Topics

Weeks	Topics
1	Introduction
2	Statistics series
3	Descriptive statistics
4	Probability
5	Discrete random variables
6	Continuous random variables
7	Normal distribution
8	Sampling distributions
9	Estimation
10	Test of hypothesis
11	Categorical data analysis
12	Simple linear regression
13	Multiple regression analysis
14	Analysis of variance

Materials

Materials are not specified.

Resources

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