MMS301 Statistics And Quality Control

4 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Code MMS301
Name Statistics And Quality Control
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MEHMET BİLGİLİ


Course Goal

The aim of this course is to teach students; to use statistical quality control methods in engineering, to analyze statistical data, to solve probability problems and to create probability distributions of data.

Course Content

In this course; the importance of statistics in engineering, regulation and analysis of statistical data, probability and statistics, probability distributions, probability densities, binomial and normal distributions, sampling distributions, statistical results and hypothesis testing are explained.

Course Precondition

Non

Resources

Probability and Statistics for Engineers - Richard A. JOHNSON

Notes

Probability and Statistics for Engineers - Richard A. JOHNSON


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Define the basic concepts related to statistics and quality control for mechanical engineering.
LO02 Analyze the possible problems related to statistics and probability in mechanical engineering projects.
LO03 Perform the statistical inference, sampling, scientific control and statistical modeling.
LO04 Analyze the statistical data and create probability distribution.
LO05 Use the distribution of Binom, Normal and Poisson distributions in engineering problems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Beceriler - Bilişsel, Uygulamalı Understanding the fundamentals of Mechanical Engineering 1
PLO02 Beceriler - Bilişsel, Uygulamalı Being well equipped with knowledge of Mathematics, Science and Basic Engineering 5
PLO03 Yetkinlikler - Öğrenme Yetkinliği Having capability of designing and executing experiments; examining the results and data
PLO04 Yetkinlikler - Öğrenme Yetkinliği Being well equipped with various engineering techniques and skills 2
PLO05 Yetkinlikler - Öğrenme Yetkinliği Being able to design a system ,a component or a process with taking into consideration the technical, economic, enviromental, sustainability limitations
PLO06 Bilgi - Kuramsal, Olgusal Ability to analyze the applications on a factory without any help, investigate the problems, formulizing and finding a proper solution for the problems 3
PLO07 Yetkinlikler - Öğrenme Yetkinliği Ability to design , developing getting ready for use of a product or manufacturing process
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understanding the importance of life-time learning and being updated 4
PLO09 Beceriler - Bilişsel, Uygulamalı Having advanced speaking and writing English skills
PLO10 Yetkinlikler - Öğrenme Yetkinliği Using Computer effectively; for computed aided design, analysis and illustrating 1
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Being prone to teamwork, well communication with others, adaptability to interdisciplinary teams 1
PLO12 Bilgi - Kuramsal, Olgusal Being aware of the technical and ethical responsibility, being curious and innovative 3


Week Plan

Week Topic Preparation Methods
1 Introduction to statistics Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
2 Organization of Data Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
3 Description of Data Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
4 Probability equations Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
5 Probability problems Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
6 Probability Distributions Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
7 Probability Distribution functions Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
8 Mid-Term Exam Read the related topics in the lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav
9 Binom distribution Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
10 Normal distribution Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
11 Poisson distribution Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
12 Sampling Distributions Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
13 Statistical inferences Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
14 hypothesis testing Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
15 Statistical inferences, hypothesis testing Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
16 Term Exams Read the related topics in the lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Read the related topics in the lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS