COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Engineering Statistics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 236
Spring
3
0
3
6
Prerequisites
 MATH 154To attend the classes (To enrol for the course and get a grade other than NA or W)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims to provide students with the skills to collect, analyze and interpret statistical data.
Learning Outcomes The students who succeeded in this course;
  • analyze data via graphical and quantitative means.
  • define the fundamentals of statistical decision making.
  • use basic tools for the analysis and modeling of empirical relationships between variables.
  • investigate one and two sample estimation problems.
  • use hypothesis testings.
Course Description This course focuses on sampling distributions, statistical estimation, hypothesis testing, simple and multiple linear regression. In addition, experimental design and applications of these methods to industrial systems engineering are discussed.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Statistics and Data Analysis and Business Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 1, pages 21-37
2 Introduction to Statistics and Data Analysis and Business Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 1, pages 37-50
3 Fundamental Sampling Distributions and Data Descriptions Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 3,Section 3.3, pages 107-114
4 Fundamental Sampling Distributions and Data Descriptions Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 8, pages 263-282
5 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 8, pages 263-282
6 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 9, pages 320-327
7 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 339-362.
8 Midterm
9 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 362-385.
10 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 386-393
11 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 386-393.
12 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 393-396.
13 Two-Sample Excel Case Study Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 399.
14 Two-Sample Excel Case Study Walpole R.E., Myers R. H., Myers S. L, Ye K., “One- and Two-Sample Tests of Hypotheses“ Chap. 10 Probability & Statistics for Engineers and Scientists, 9th Edition (Pearson, 2017), 399.
15 Semester Review
16 Final Exam
Course Notes/Textbooks

Walpole R.E., Myers R. H., Myers S. L,Ye K.,
Probability&Statistics for Engineers and Scientists, 9th Edition.
ISBN13: 9781292161365

Suggested Readings/Materials

Ross S., A First Course in Probability, Pearson Education.

"Statistics for Engineers and Scientists" by William Navidi, McGraw-Hill Education, 4th Edition, 2014. ISBN-13: 978-0073401331 

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
10
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
3
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
3
42
Field Work
Quizzes / Studio Critiques
2
10
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
30
Final Exams
1
40
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest