Industrial Product Design
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

BST153

Course Name:

Inferential Statistics

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

University / Foreign Language

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi FERİDUN CEMAL ÖZÇAKIR

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to teach students how to estimate population parameters from sample values and how to test hypotheses about these parameters.

Course Content:

In this course, Sampling Methods, Central Limit Theorem in Random Sampling, Estimation of Population Mean, Estimation of Population Ratio Estimation, Estimation of Population Variance, Parametric Hypothesis Tests, Tests and Stages of Hypothesis, Tests of Mean, Tests of Proportion, Tests of Variance, Between Two and More than Two Population Mean Tests of Difference – Analysis of Variance – F Test are explained.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Students will be able to estimate population parameters from sample values.
2 - Skills
Cognitive - Practical
1) Students will be able to test hypotheses about population parameters.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Sampling Methods
2)	Central Limit Theorem in Random Sampling
3)	Estimation of Population Mean
4)	Estimation of Population Ratio Estimation
5)	Estimation of Population Variance
6)	Parametric Hypothesis Tests
7)	Tests and Stages of Hypothesis
8)	Midterm
9)	Tests of Mean, Tests of Proportion
10)	Tests of Proportion
11)	Tests of Variance
12)	Between Two and More than Two Population Mean Tests of Difference
13)	Analysis of Variance
14)	F Test

Sources

Course Notes / Textbooks:	Çözümsel İstatistik - Prof. Dr. Nuray Girginer
References:	Çözümsel İstatistik - Prof. Dr. Nuray Girginer

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2
Program Outcomes
1) Ability to think creatively and innovatively in industrial design discipline.
2) Ability to master professional material and production technologies and follow up developments and to effectively apply acquired knowledge in the projects
3) Ability to reflect cultural values to professional approaches
4) Ability to reach to original design solutions through critical approach to complex design problems and also foresee potential user needs.
5) Having the knowledge and ability to effectively use two and three dimensional design tools and technologies in industrial design
6) Ability to participate in teamwork in companies and to effectively participate in industrial design project management
7) Ability to have professional and ethical sense of responsibility
8) To work independently, to take responsiblity and to develop designerly sensitivities towards global problems

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Ability to think creatively and innovatively in industrial design discipline.
2)	Ability to master professional material and production technologies and follow up developments and to effectively apply acquired knowledge in the projects
3)	Ability to reflect cultural values to professional approaches
4)	Ability to reach to original design solutions through critical approach to complex design problems and also foresee potential user needs.
5)	Having the knowledge and ability to effectively use two and three dimensional design tools and technologies in industrial design
6)	Ability to participate in teamwork in companies and to effectively participate in industrial design project management
7)	Ability to have professional and ethical sense of responsibility
8)	To work independently, to take responsiblity and to develop designerly sensitivities towards global problems

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	42	588
Homework Assignments	3	9	27
Midterms	1	1	1
Final	1	1	1
Total Workload			617