ME357 Statistics and Quality Control

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

Information

Unit FACULTY OF ENGINEERING
MECHANICAL ENGINEERING PR. (ENGLISH)
Code ME357
Name Statistics and Quality Control
Term 2019-2020 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. MEHMET İLTERİŞ SARIGEÇİLİ
Course Instructor Doç. Dr. MEHMET İLTERİŞ SARIGEÇİLİ (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

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Introduction to statistics
LO02 Organization and Description of Data
LO03 Organization and Description of Data
LO04 Probability
LO05 Probability
LO06 Probability Distributions
LO07 Midterm Exam.
LO08 Probability Distributions
LO09 Probability Densities
LO10 Probability Densities
LO11 Sampling Distributions
LO12 Sampling Distributions
LO13 Statistical inferences, hypothesis testing
LO14 Statistical inferences, hypothesis testing
LO15 Statistical inferences, hypothesis testing


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Student become equipped with the basic knowledge of math, science and engineering 5
PLO02 - Students gain a command of basic concepts, theories and principles in mechanical engineering 3
PLO03 - 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 1
PLO04 - Students become equipped with a variety of skills and knowledge regarding engineering techniques 2
PLO05 - 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. 0
PLO06 - 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 3
PLO07 - Students take initiative in identification, design, development and use of a product or production process. 1
PLO08 - Students become aware of the necessity of lifelong learning and continuously self-renew 4
PLO09 - Students use English effectively for technical or non-technical topics orally or in wirtten form. 2
PLO10 - Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 1
PLO11 - 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 1
PLO12 - Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 0


Week Plan

Week Topic Preparation Methods
1 Introduction to statistics Text book, Chapter 1
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 Final Exam. Writing Exam.
17 Final Exam. Writing 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 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 07.05.2025 01:33