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  Course Description
Course Name : Statistics

Course Code : AEN213

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 5

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 : This course aims 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. Inferences concerning a mean. Hypothess test.

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 Text Book, Chapter 1 Oral Presantation
2 Organization and description of statistical data Text Book, Chapter 2 Oral Presantation
3 Organization and description of statistical data Text Book, Chapter 2 Oral Presantation
4 Probability Text Book, Chapter 3 Oral Presantation
5 Probability Text Book, Chapter 3 Oral Presantation
6 Probability distributions Text Book, Chapter 4 Oral Presantation
7 Midterm Exam. Writing Exam Writing Exam
8 Probability distributions Text Book, Chapter 4 Oral Presantation
9 Probability densities Text Book, Chapter 5 Oral Presantation
10 Probability densities Text Book, Chapter 5 Oral Presantation
11 Sampling distributions Test Book, Chapter 6 Oral Presantation
12 Sampling distributions Text Book, Chapter 6 Oral Presantation
13 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation
14 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation
15 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation
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 60
    Homeworks/Projects/Others 10 40
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 Utilizes computer systems and softwares 2
2 Generates solutions for the problems in other disciplines by using statistical techniques 5
3 Comprehends visual, database and web programming techniques and has the ability of writing objective program 1
4 Is equipped with a variety of skills and techniques in engineering. 2
5 Designs a system, component or process so as to meet various engineering needs within technical, economic, environmental, manufacturability, sustainability limitations. 0
6 Examines and learns applications in an enterprise independently, makes critical assesments of problems, formulates problems and selects suitable techniques for solutions. 3
7 Leads the identification, development and usage of a product or production method. 1
8 Is aware of the need for lifelong learning and self-renew 4
9 Has effective oral and written English for technical or non-technical use 2
10 Uses computers very effectively, makes computer-aided drafting, designs, analysis, and presentations. 1
11 Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. 1
12 Is aware of the technical and ethical responsibilities, has inquisitive and innovative quality 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 4 56
Assesment Related Works
    Homeworks, Projects, Others 10 2 20
    Mid-term Exams (Written, Oral, etc.) 1 1 1
    Final Exam 1 1 1
Total Workload: 120
Total Workload / 25 (h): 4.8
ECTS Credit: 5