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
    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
    • Prof. Dr. Hakkı Eskicioğlu
    Course Lecturer(s)
    • Prof. Dr. Hakkı Eskicioğlu
    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;
    Name Description PC Sub * Contribution Level
    1 2 3 4 5
    LO1 Apply fundamental concepts of probability and statistics to engineering problems. 1.1 X
    LO2 Apply confidence intervals and hypothesis testing in single and two-sample cases. 1.1 X
    LO3 Implement simple and multiple linear regression methods in engineering contexts. 1.1 X
    LO4 Design experiments using appropriate methods to investigate engineering problems 5.2 X
    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
    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
    1

    Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

    1

    Mathematics

    LO1 LO2 LO3
    2

    Science

    3

    Basic Engineering

    4

    Computation

    5

    Related engineering discipline-specific topics

    6

    The ability to apply this knowledge to solve complex engineering problems

    2

    Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

    3

    Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

    1

    Ability to design creative solutions to complex engineering problems

    2

    Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions

    4

    Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.

    5

    Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

    1

    Literature research for the study of complex engineering problems

    2

    Designing experiments

    LO4
    3

    Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

    6

    Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.

    1

    Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals

    2

    Awareness of the legal implications of engineering solutions

    7

    Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.

    1

    Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility

    2

    Awareness of being impartial and inclusive of diversity, without discriminating on any subject

    8

    Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

    1

    Ability to work individually and within the discipline

    2

    Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)

    9

    Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

    1

    Ability to communicate verbally

    2

    Ability to communicate effectively in writing

    10

    Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

    1

    Knowledge of business practices such as project management and economic feasibility analysis

    2

    Awareness of entrepreneurship and innovation

    11

    Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.

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


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