İzmir Ekonomi Üniversitesi
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  • FACULTY OF ENGINEERING

    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
    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
    #
    Content
    PC Sub
    * Contribution Level
    1
    2
    3
    4
    5
    1Apply fundamental concepts of probability and statistics to engineering problems.
    2Apply confidence intervals and hypothesis testing in single and two-sample cases.
    3Implement simple and multiple linear regression methods in engineering contexts.
    4Design experiments using appropriate methods to investigate engineering problems
    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

     



    Course Category

    Core Courses
    X
    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 adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical 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 Mechanical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

    -
    -
    -
    -
    -
    3

    To be able to design a thermal and mechanical 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 engineering applications.

    -
    -
    -
    -
    -
    5

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

    -
    -
    -
    X
    -
    6

    To be able to work efficiently in Mechanical 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 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; 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 Mechanical Engineering, and to be able to communicate with colleagues in a foreign language.

    -
    -
    -
    -
    -
    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 Mechanical Engineering.

    -
    -
    -
    -
    -

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


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