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Information
| Unit | CEYHAN FACULTY OF ENGINEERING |
| MECHANICAL ENGINEERING PR. | |
| Code | MMS301 |
| Name | Statistics And Quality Control |
| Term | 2019-2020 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
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
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 | - | Understanding the fundamentals of Mechanical Engineering | 1 |
| PLO02 | - | Being well equipped with knowledge of Mathematics, Science and Basic Engineering | 5 |
| PLO03 | - | Having capability of designing and executing experiments; examining the results and data | 1 |
| PLO04 | - | Being well equipped with various engineering techniques and skills | 2 |
| PLO05 | - | Being able to design a system ,a component or a process with taking into consideration the technical, economic, enviromental, sustainability limitations | 0 |
| PLO06 | - | 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 | - | Ability to design , developing getting ready for use of a product or manufacturing process | 1 |
| PLO08 | - | Understanding the importance of life-time learning and being updated | 4 |
| PLO09 | - | Having advanced speaking and writing English skills | 0 |
| PLO10 | - | Using Computer effectively; for computed aided design, analysis and illustrating | 1 |
| PLO11 | - | Being prone to teamwork, well communication with others, adaptability to interdisciplinary teams | 1 |
| PLO12 | - | Being aware of the technical and ethical responsibility, being curious and innovative | 0 |
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 | Mid-Term Exam | Read the related topics in the lecture notes and reference books | |
| 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 | Read the related topics in the lecture notes and reference books | |
| 14 | 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 | Term Exams | Read the related topics in the lecture notes and reference books | |
| 17 | Term Exams | Read the related topics in the lecture notes and reference books |
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 | ||