My IEU Logo
TR
İzmir Ekonomi Üniversitesi

  • TÜRKÇE
    • Prospective Student | Student | Alumni

    GRADUATE SCHOOL

    M.SC. in Computer Engineering (Without Thesis)

    IE 515 | Course Introduction and Application Information

    Course Name
    Multi Objective Optimization
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    IE 515
    Fall/Spring
    3
    0
    3
    7.5

    Prerequisites
    None
    Course Language
    English
    Course Type
    Elective
    Course Level
    Second Cycle
    Mode of Delivery -
    Teaching Methods and Techniques of the Course -
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s) -
    Assistant(s) -
    Course Objectives The objective of this course is to present the idea of multiple objectives and techniques used and equip the student with the skills that will help them to make decisions where multiple conflicting criterias involved.
    Learning Outcomes

    The students who succeeded in this course;

    • Learn the multi objective optimization methods
    • Identify the multi objective optimization method to pply a problem
    • Apply the multi objective decision making methods to real life problems
    Course Description Topics include overview and definitions of Multiple Criteria Decision Making (MCDM) concept; decision space, objective space, convex sets, functions and test for convexity; formulation of the general multiple criteria programming, classification of multiple criteria programming methods, decision making with discrete and continuous alternatives; goal programming and algorithms for goal programming.

     



    Course Category

    		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 Introduction, Definitions
    2 Discrete Alternative Problem, Convex Dominated and Adjacent Efficient Solutions, Analytical Hierarchy Process
    3 Discrete alternative problem, Presentation Related paper
    4 Utility functions
    5 Cones
    6 Ranking, Classificaiton and Sorting, Presentation Related paper
    7 Presentations Related papers
    8 Midterm
    9 Interactive methods, Data Envelopment Analysis
    10 Presentations Related papers
    11 Continuous solution space, Presentation Related paper
    12 Continuous solution space
    13 Continuous solution space
    14 Review
    15 -
    16 -

     

    Course Notes/Textbooks Course notes
    Suggested Readings/Materials Related Research Papers

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    1
    5
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    4
    20
    Presentation / Jury
    1
    20
    Project
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    25
    Final Exam
    1
    30
    Total

    Weighting of Semester Activities on the Final Grade
    70
    Weighting of End-of-Semester Activities on the Final Grade
    30
    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
    15
    5
    75
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    4
    12
    48
    Presentation / Jury
    1
    10
    10
    Project
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    20
    20
    Final Exam
    1
    24
    24
        Total
    225

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    #
    		 PC Sub Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5
    1 Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.
    -
    -
    -
    X
    -
    2 Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.
    -
    -
    -
    -
    X
    3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.
    -
    -
    -
    X
    -
    4 Is informed about new and upcoming applications in the field and learns them whenever necessary.
    -
    -
    -
    -
    X
    5 Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.
    -
    -
    -
    -
    X
    6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.
    -
    -
    -
    -
    X
    7 Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.
    -
    -
    -
    X
    -
    8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.
    -
    -
    -
    -
    X
    9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.
    -
    -
    X
    -
    -
    10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
    -
    -
    X
    -
    -
    11 Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.
    -
    -
    X
    -
    -
    12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.
    -
    X
    -
    -
    -

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

     

    NEW GÜZELBAHÇE CAMPUS

    Details

    GLOBAL CAREER

    As Izmir University of Economics transforms into a world-class university, it also raises successful young people with global competence.

    More..

    CONTRIBUTION TO SCIENCE

    Izmir University of Economics produces qualified knowledge and competent technologies.

    More..

    VALUING PEOPLE

    Izmir University of Economics sees producing social benefit as its reason for existence.

    More..

    BENEFIT TO SOCIETY

    Transferring 22 years of power and experience to social work…

    More..
    You are one step ahead with your graduate education at Izmir University of Economics.
    Master Programs Doctorate Programs
    You are one step ahead with your graduate education at Izmir University of Economics.
    Master Programs Doctorate Programs