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Department of Mechanical Engineering
ME 315 | Course Introduction and Application Information
| Course Name |
Applied Probability and Statistics for Engineers
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
ME 315
|
SPRING
|
3
|
0
|
3
|
6
|
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | Required (Core Course) | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | ||||||
| Teaching Methods and Techniques of the Course | Lecture/Presentation | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
|
|||||
| Course Lecturer(s) |
|
|||||
| Assistant(s) | - | |||||
| Course Objectives | The aim of this course is to provide engineering students with knowledge and skills in fundamental probability theory, statistical analysis methods, and experimental design; and to enable them to make data-driven decisions, design appropriate experiments, collect data, and analyze and interpret the results in the context of engineering problems. | |||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | This course covers fundamental probability concepts, random variables and probability distributions, descriptive statistics, confidence intervals, hypothesis testing, linear regression analysis, and experimental design in engineering. Students will learn to analyze engineering data, construct models, and design experiments to produce meaningful and interpretable results. | |||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
|
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|
|
Core Courses |
|
| Major Area Courses |
X
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Basic probability concepts | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 2 | LO1 |
| 2 | Random variable concept and basic probability distributions | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 3&4 | LO1 |
| 3 | Random variable concept and basic probability distributions | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 3&4 | LO1 |
| 4 | Introduction to statistics | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 6&7 | LO1 |
| 5 | Introduction to statistics | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 6&7 | LO1 |
| 6 | Applications of Confidence Intervals and Hypothesis Tests in Engineering Problems: Single and Two-Sample Cases | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 8&9&10 | LO2 |
| 7 | Applications of Confidence Intervals and Hypothesis Tests in Engineering Problems: Single and Two-Sample Cases | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 8&9&10 | LO2 |
| 8 | Midterm exam | - | |
| 9 | Applications of Confidence Intervals and Hypothesis Tests in Engineering Problems: Single and Two-Sample Cases | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 8&9&10 | LO2 |
| 10 | Applications of Simple and Multiple Linear Regression in Engineering Problems | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 11 ve 12 | LO3 |
| 11 | Applications of Simple and Multiple Linear Regression in Engineering Problems | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 11 ve 12 | LO3 |
| 12 | Applications of Design of Experiments and Analysis Methods in Engineering | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 13 ve 14 | LO4 |
| 13 | Applications of Design of Experiments and Analysis Methods in Engineering | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 13 ve 14 | LO4 |
| 14 | Applications of Design of Experiments and Analysis Methods in Engineering | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Bölüm 13 ve 14 | LO4 |
| 15 | Review | - | |
| 16 | Final exam | - |
| Course Notes/Textbooks |
- Montgomery Douglas C. and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons 2019. ISBN-13: 978-1118539712 ISBN-10: 1118539710 |
| Suggested Readings/Materials |
- Navidi William. Principles of Statistics for Engineers and Scientists. McGraw-Hill 2021. ISBN-13: 978-1260570731 ISBN-10: 1260570738 |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 |
| Quizzes / Studio Critiques | 3 | 15 | X | X | X | |
| Project | 1 | 20 | X | |||
| Midterm | 1 | 30 | X | X | X | |
| Final Exam | 1 | 35 | X | X | X | X |
| Total | 6 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 3 | 48 |
| Laboratory / Application Hours | - | - | - |
| Study Hours Out of Class | 14 | 3 | 42 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | 3 | 5 | 15 |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | - | - | - |
| Project | 1 | 20 | 20 |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 25 | 25 |
| Final Exam | 1 | 30 | 30 |
| Total | 180 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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