PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IENG 477	APPLIED STATISTICS	3 + 0	4th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	In this course students will learn how to analyze data gathered from different sectors such as manufacturing, health, finance
Course Content	In this course, parametric and nonparametric test will be taught, R and SPSS packages will be used to analyze the data
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Understands parametric and nonparametric tests
2	Uses the correct methods to analyze the data
3	Uses R and SPSS packages effectively

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	PO 12	PO 13
LO 001	3	3	5	5	5	1	1	1	1	1	1	1	1
LO 002	3	3	5	5	5	1	1	1	1	1	1	1	1
LO 003	3	3	5	5	5	1	1	1	1	1	1	1	1
Sub Total	9	9	15	15	15	3	3	3	3	3	3	3	3
Contribution	3	3	5	5	5	1	1	1	1	1	1	1	1

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)	13	2	26
Assignments	2	6	12
Mid-terms	1	10	10
Final examination	1	14	14
Report / Project	1	26	26
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
IENG 477	APPLIED STATISTICS	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ÖZCAN MUTLU	mutlu@pau.edu.tr		MUH B0130	%70

Goals		In this course students will learn how to analyze data gathered from different sectors such as manufacturing, health, finance
Content		In this course, parametric and nonparametric test will be taught, R and SPSS packages will be used to analyze the data

Topics

Weeks	Topics
1	Hypothesis Testing
2	Hypothesis Testing
3	Hypothesis Testing
4	Project presentations
5	Hypothesis Testing
6	Project presentations
7	Regression Analysis
8	Regression Analysis
9	Project presentations
10	Regression Analysis
11	Project presentations
12	Final Project Presentations
13	Final Project Presentations
14	Final Project Presentations

Materials

Materials are not specified.

Resources

Course Assessment

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

Prospective Student