İzmir Ekonomi Üniversitesi
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  • GRADUATE SCHOOL

    M.SC. in Computer Engineering (Without Thesis)

    EEE 561 | Course Introduction and Application Information

    Course Name
    Microprocessor Systems
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    EEE 561
    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 main objective of this course is familarize students with microprocessor architecture, interfaces, and opearting systems. In this course various processors such as Motorola, Intel and ARM and operating systems such as -Linux and PalmOS will be covered.
    Learning Outcomes
    #
    Content
    PC Sub
    * Contribution Level
    1
    2
    3
    4
    5
    1Become familiar with various microprocessor families,
    2Become familiar computer architecture,
    3Learn interfaces such as USB, PCB, Ethernet and bluetooth
    4Learn operating systems such as uC-Linux and PalmOS
    Course Description The course will cover hardware and software design methodologies, use of CAD and simulation tools, assemblers, compilers, debuggers, and programmers. Different microprocessor architectures such as Motorola, Intel, and ARM will be discussed and evaluated, as well as Operating Systems such as uC-Linux and PalmOS. Computer interfaces such as USB, PCI, Ethernet, and Bluetooth will also be discussed in detail.

     



    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 to Microprocessor Systems The course slides
    2 CPU architecture The course slides
    3 Freescale Architecture he course slides
    4 Intel Architecture The course slides
    5 Computer Organization The course slides
    6 Programming Languages The course slides
    7 Compilers and Debuggers The course slides
    8 Midterm
    9 Ethernet The course slides
    10 USB interface The course slides
    11 PCI interface The course slides
    12 Bluetooth The course slides
    13 Operating Systems The course slides
    14 Uci-Linux The course slides
    15 PalmOS The course slides
    16 Review of the Semester  

     

    Course Notes/Textbooks The course slides
    Suggested Readings/Materials

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO 1 LO 2 LO 3 LO 4
    Participation
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    Presentation / Jury
    4
    20
    Project
    Seminar / Workshop
    1
    40
    Oral Exams
    Midterm
    1
    40
    Final Exam
    Total

    Weighting of Semester Activities on the Final Grade
    60
    Weighting of End-of-Semester Activities on the Final Grade
    40
    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
    4
    60
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    4
    35
    140
    Project
    0
    Seminar / Workshop
    1
    45
    45
    Oral Exam
    0
    Midterms
    1
    37
    37
    Final Exam
    0
        Total
    330

     

    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

     


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