İzmir Ekonomi Üniversitesi
  • TÜRKÇE

  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    FENG 345 | Course Introduction and Application Information

    Course Name
    Numerical Methods for Engineers I
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    FENG 345
    FALL
    2
    2
    3
    7

    Prerequisites MATH 154 To attend the classes (To enrol for the course and get a grade other than NA or W)
    Course Language İngilizce
    Course Type Required (Core Course)
    Course Level First Cycle
    Mode of Delivery Yüzyüze
    Teaching Methods and Techniques of the Course -
    National Occupational Classification Code -
    Course Coordinator
    • Dr. Öğr. Üyesi Osman Nuri Şahin
    Course Lecturer(s)
    • Dr. Öğr. Üyesi Osman Nuri Şahin
    • Dr. Öğr. Üyesi Umut Tabak
    • Öğr. Gör. Ruti Politi
    • Prof. Dr. Hira Karagülle
    • Dr. Öğr. Üyesi Ebru Sayılgan
    Assistant(s)
    • Araş. Gör. Merve Okan
    • Araş. Gör. Rahime Alsanğur
    Course Objectives
    Learning Outcomes The students who succeeded in this course;
    Name Description PC Sub * Contribution Level
    1 2 3 4 5
    LO1 Discuss the applications of numerical analysis techniques in Engineering 1.4 X
    LO2 Create solutions for both linear and non-linear problems. 1.6 X
    LO3 Define the process of fitting curves to the data sets. 1.4 X
    LO4 Explain numerical differentials and integrals. 1.6 X
    LO5 Solve differential equations using numerical techniques. 1.6 X
    Course Description
    Related Sustainable Development Goals
    -

     



    Course Category

    Core Courses
    X
    Major Area Courses
    Supportive Courses
    Media and Managment Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Required Materials Learning Outcome
    1 MATLAB Fundamentals and Introduction to Numerical Analysis, Programmming with MATLAB Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 3 LO1
    2 Introduction to Differetial Equation: Euler Method, Error Analysis Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 1,4 LO5
    3 Nonlinear Algebraic Equations-Polynomials, Bisection Method Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 5 LO2
    4 Nonlinear Algebraic Equations-Polynomials, Newton-Raphson Method Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 6 LO2
    5 Linear Algebraic Equations, Gauss Elimination Method Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 8,9 LO2
    6 Linear Algebraic Equations and Curve Fitting Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 8,9,14 LO2
    7 Curve fitting: Linear Regression, least squares method Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 14,15 LO3
    8 Arasınav -
    9 Curve Fitting; Interpolation (lineer and quadratic interpolation) Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 17 LO3
    10 Numerical Integration Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 19,20 LO4
    11 Numerical Integration Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 19,20 LO4
    12 Numerical Differentiation Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 21 LO4
    13 Approximate solutions of differential equations Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 22 LO5
    14 Engineering Applications of Differential Equations Applied Numerical Methods with MATLAB for Engineers and Scientists, Steven C. Chapra, Chapter 22 LO5
    15 Semester Review -
    16 Final Exam -

     

    Course Notes/Textbooks -
    Suggested Readings/Materials -

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
    Quizzes / Studio Critiques 2 20 X X X X
    Midterm 1 35 X X X
    Final Exam 1 45 X X X
    Total 4 100

     

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Participation 16 32 512
    Project 16 32 512
    Homework / Assignments 14 70 980
    Homework / Assignments - - -
    Portfolio 2 30 60
    Portfolio - - -
    Homework / Assignments - - -
    Portfolio - - -
    Project - - -
    Portfolio - - -
    Portfolio - - -
    Midterms 1 21 21
    Final Exam 1 25 25
        Total 2110

     

    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

    2

    Science

    3

    Basic Engineering

    4

    Computation

    LO1 LO3
    5

    related engineering discipline-specific topics

    6

    the ability to apply this knowledge to solve complex engineering problems.

    LO4 LO5 LO2
    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 tectıniques, resources, and modern engineering and computing tools. including estimation and modeling. far the analysis and solution of complex engineering problems while recognizing their limitations.

    5

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

    1

    Literature research far the study of complex engineering problems

    2

    Designing experiments

    3

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

    6

    Global lmpact of Engineering Practices: Knowledge of the impacts of engineering practices on s.ociety, health and safety. ttıe economy, sustainability and the environment \ıVlthin the context of the UN Sustainable Development GoaJs; awareness of the legal implications of engineering solutions.

    1

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

    2

    Awareness of the legal implications of engineering solutions

    7

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

    1

    Acting in accordance with engineering professional principles. information about ethical responsibility

    2

    Awareness of being impartial and indusive of diversity, without disaiminating on any subject.

    8

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

    1

    lndividually and within the discipline

    2

    Ability to work effectivefy as a team member or leader in mutti-disciplinary 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

    Verbal

    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 tedınological changes

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


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