Self-routing autonomous robots by IUE engineers
An autonomous robot that can re-route using artificial intelligence, when it encounters an obstacle, has been developed with the project ...
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Department of Mechatronics 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
|
Fall
|
3
|
0
|
3
|
6
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Required
|
|||||
| Course Level |
First Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | Lecture / Presentation | |||||
| National Occupation Classification | - | |||||
| 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 |
|
|||||||||||||||||||||||||||||||||||||||||||||
| 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 | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation | Learning Outcome |
| 1 | Basic probability concepts | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 2 | |
| 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 | |
| 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 | |
| 4 | Introduction to statistics | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 6&7 | |
| 5 | Introduction to statistics | Montgomery, Douglas C., and George C. Runger. Applied Statistics and Probability for Engineers. John Wiley & Sons, 2019. Chapter 6&7 | |
| 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 | |
| 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 | |
| 8 | 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 | |
| 9 | Midterm exam | ||
| 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. Chapter 11&12 | |
| 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. Chapter 11&12 | |
| 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. Chapter 13&14 | |
| 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. Chapter 13&14 | |
| 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. Chapter 13&14 | |
| 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 | Weigthing | LO 1 | LO 2 | LO 3 | LO 4 |
| Participation | ||||||
| Laboratory / Application | ||||||
| Field Work | ||||||
| Quizzes / Studio Critiques |
3
|
15
|
||||
| Portfolio | ||||||
| Homework / Assignments | ||||||
| Presentation / Jury | ||||||
| Project |
1
|
20
|
||||
| Seminar / Workshop | ||||||
| Oral Exams | ||||||
| Midterm |
1
|
30
|
||||
| Final Exam |
1
|
35
|
||||
| Total |
| Weighting of Semester Activities on the Final Grade |
5
|
65
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
35
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
3
|
5
|
15
|
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
0
|
||
| Project |
1
|
20
|
20
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| 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
|
|||
| 1 |
To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems |
-
|
-
|
-
|
-
|
-
|
|
| 2 |
To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. |
-
|
-
|
-
|
-
|
-
|
|
| 3 |
To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose. |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively. |
-
|
-
|
-
|
-
|
-
|
|
| 5 |
To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems. |
-
|
-
|
-
|
-
|
-
|
|
| 6 |
To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
-
|
-
|
-
|
-
|
-
|
|
| 7 |
To be able to communicate effectively in Turkish, both in oral and written forms; 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 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 engineering solutions. |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
To be aware of ethical behavior, professional and ethical responsibility; information on standards used 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 |
Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1) |
-
|
-
|
-
|
-
|
-
|
|
| 12 |
To be able to use the second foreign language at intermediate level. |
-
|
-
|
-
|
-
|
-
|
|
| 13 |
To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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