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  Course Description
Course Name : Statistics And Quality Control

Course Code : ME 357

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 3

Course Semester : Fall (16 Weeks)

ECTS : 4

Name of Lecturer(s) : Assoc.Prof.Dr. MEHMET BİLGİLİ

Learning Outcomes of the Course : Creates a Quality Management System Infrastructure
Applies Quality Standards
Applies statistical quality control methods

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To teach statistical quality control methods and concepts

Course Contents : Introduction to statistics. Organization and description of data. Probability and statistics. Probability distributions. Probability densities. Sampling distributions. Statistical inferencing. Hypothesis testing

Language of Instruction : English

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to statistics Text book, Cahpter 1 Conceptual and mathematical education
2 Organization and Description of Data Text book, Cahpter 2 Conceptual and mathematical education
3 Organization and Description of Data Text book, Cahpter 2 Conceptual and mathematical education
4 Probability Text book, Cahpter 3 Conceptual and mathematical education
5 Probability Text book, Cahpter 3 Conceptual and mathematical education
6 Probability Distributions Text book, Cahpter 4 Conceptual and mathematical education
7 Midterm Exam. Writing Exam. Writing Exam.
8 Probability Distributions Text book, Cahpter 4 Conceptual and mathematical education
9 Probability Densities Text book, Cahpter 5 Conceptual and mathematical education
10 Probability Densities Text book, Cahpter 5 Conceptual and mathematical education
11 Sampling Distributions Text book, Cahpter 6 Conceptual and mathematical education
12 Sampling Distributions Text book, Cahpter 6 Conceptual and mathematical education
13 Statistical inferences, hypothesis testing Text book, Cahpter 7 Conceptual and mathematical education
14 Statistical inferences, hypothesis testing Text book, Cahpter 7 Conceptual and mathematical education
15 Statistical inferences, hypothesis testing Text book, Cahpter 7 Conceptual and mathematical education
16/17 Final Exam. Writing Exam. Writing Exam.


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Probability and Statistics for Engineers - Richard A. JOHNSON
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 30
    Homeworks/Projects/Others 1 70
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students gain a command of basic concepts, theories and principles in mechanical engineering 1
2 Student become equipped with the basic knowledge of math, science and engineering 5
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 1
4 Students become equipped with a variety of skills and knowledge regarding engineering techniques 2
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. 0
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 3
7 Students take initiative in identification, design, development and use of a product or production process. 1
8 Students become aware of the necessity of lifelong learning and continuously self-renew 4
9 Students use English effectively for technical or non-technical topics orally or in wirtten form. 2
10 Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 1
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 1
12 Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total 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 1 3 3
    Mid-term Exams (Written, Oral, etc.) 1 3 3
    Final Exam 1 6 6
Total Workload: 96
Total Workload / 25 (h): 3.84
ECTS Credit: 4