PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MAT 357	PROBABILITY AND STATISTICS	3 + 0	3rd Semester	7

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
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

Data not found.

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	5	70
Mid-terms	1	30	30
Final examination	1	40	40
Total Work Load ECTS Credit of the Course			182 7

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	2	ÖZCAN MUTLU

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	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ÖZCAN MUTLU	mutlu@pau.edu.tr		MUH A0303	%

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

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

Prospective Student