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•           Information on Degree Programmes

COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistics And Quality Control ME   357 5 3 3 5

 Prerequisites and co-requisites Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Asst.Prof.Dr. Mehmet İlteriş SARIGEÇİLİ
Instructors
 Dr. Öğr. Üyesi MEHMET İLTERİŞ SARIGEÇİLİ 1. Öğretim Grup:A Dr. Öğr. Üyesi MEHMET İLTERİŞ SARIGEÇİLİ 2. Öğretim Grup:A

Assistants
Goals
To teach statistical quality control methods and concepts
Content
Introduction to statistics. Organization and description of data. Probability and statistics. Probability distributions. Probability densities. Sampling distributions. Statistical inferencing. Hypothesis testing

Learning Outcomes
1) Introduction to statistics
2) Organization and Description of Data
3) Organization and Description of Data
4) Probability
5) Probability
6) Probability Distributions
7) Midterm Exam.
8) Probability Distributions
9) Probability Densities
10) Probability Densities
11) Sampling Distributions
12) Sampling Distributions
13) Statistical inferences, hypothesis testing
14) Statistical inferences, hypothesis testing
15) Statistical inferences, hypothesis testing

Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Student become equipped with the basic knowledge of math, science and engineering
X
2
Students gain a command of basic concepts, theories and principles in mechanical engineering
X
3
Students are able to design and carry out experiments in the basic fields of mechanical engineering, and interpret the results and the data obtained from the experiments
X
4
Students become equipped with a variety of skills and knowledge regarding engineering techniques
X
5
Students are able to design a system, component or process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, and sustainability limits.
6
Students independently review and learn the applications in an enterprise, make a critical assessment of the problems faced with, formulate problems and propose solutions by selecting the proper technique
X
7
Students take initiative in identification, design, development and use of a product or production process.
X
8
Students become aware of the necessity of lifelong learning and continuously self-renew
X
9
Students use English effectively for technical or non-technical topics orally or in wirtten form.
X
10
Students become effective in using computer, computer-aided drafting, design, analysis, and presentation
X
11
Students have good communicatino skills with a tendency to work in teams, and are able to work effectively as a member of an interdisciplinary team
X
12
Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Introduction to statistics Text book, Chapter 1 Lecture
2 Organization and Description of Data Text book, Chapter 2
3 Organization and Description of Data Text book, Chapter 2
4 Probability Text book, Chapter 3
5 Probability Text book, Chapter 3
6 Probability Distributions Text book, Chapter 4
7 Midterm Exam. Writing Exam.
8 Probability Distributions Text book, Chapter 4
9 Probability Densities Text book, Chapter 5
10 Probability Densities Text book, Chapter 5
11 Sampling Distributions Text book, Chapter 6
12 Sampling Distributions Text book, Chapter 6
13 Statistical inferences, hypothesis testing Text book, Chapter 7
14 Statistical inferences, hypothesis testing Text book, Chapter 7
15 Statistical inferences, hypothesis testing Text book, Chapter 7
16-17 Final Exam. Writing Exam.