Course Name | Engineering Statistics |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
MATH 236 | Spring | 3 | 0 | 3 | 6 |
Prerequisites |
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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;
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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 | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
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., |
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 |
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 |
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 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. | X | ||||
2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. | |||||
3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. | |||||
4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. | X | ||||
5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. | |||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary 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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. | |||||
9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. | |||||
10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign 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 Industrial Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest