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Information
| Unit | CEYHAN FACULTY OF ENGINEERING |
| MECHANICAL ENGINEERING PR. | |
| Code | MMS301 |
| Name | Statistics And Quality Control |
| Term | 2017-2018 Academic Year |
| 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 |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET BİLGİLİ |
| Course Instructor |
Prof. Dr. MEHMET BİLGİLİ
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To teach statistical quality control methods and concepts
Course Content
Introduction to statistics. Organization and description of data. Probability and statistics. Probability distributions. Probability densities. Sampling distributions. Statistical inferencing. Hypothesis testing
Course Precondition
Yok
Resources
Notes
12
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 | |
| 2 | Organization and Description of Data | Read the related topics in the lecture notes and reference books | |
| 3 | Organization and Description of Data | Read the related topics in the lecture notes and reference books | |
| 4 | Probability | Read the related topics in the lecture notes and reference books | |
| 5 | Probability | Read the related topics in the lecture notes and reference books | |
| 6 | Probability Distributions | Read the related topics in the lecture notes and reference books | |
| 7 | Probability Distributions | Read the related topics in the lecture notes and reference books | |
| 8 | Midterm Exam | Midterm Exam | |
| 9 | Probability Densities | Read the related topics in the lecture notes and reference books | |
| 10 | Probability Densities | Read the related topics in the lecture notes and reference books | |
| 11 | Sampling Distributions | Read the related topics in the lecture notes and reference books | |
| 12 | Sampling Distributions | Read the related topics in the lecture notes and reference books | |
| 13 | Statistical inferences, hypothesis testing | Read the related topics in the lecture notes and reference books | |
| 14 | Statistical inferences, hypothesis testing | Read the related topics in the lecture notes and reference books | |
| 15 | Statistical inferences, hypothesis testing | Read the related topics in the lecture notes and reference books | |
| 16 | Final Exam | Final Exam | |
| 17 | Final Exam | Final Exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||