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İzmir Ekonomi Üniversitesi

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    GRADUATE SCHOOL

    M.SC. in Computer Engineering (Without Thesis)

    CE 602 | Course Introduction and Application Information

    Course Name
    Advanced Computer Architecture
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    CE 602
    Fall/Spring
    3
    0
    3
    7.5

    Prerequisites
    None
    Course Language
    English
    Course Type
    Elective
    Course Level
    Third 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 the course is to introduce the principles that are shaping computing, and also to teach the organizational paradigms that determine the capabilities, performance, and, ultimately, the success of computer systems.
    Learning Outcomes

    The students who succeeded in this course;

    • will be able to interpret the relationship between hardware and software.
    • will be able to interpret the concepts that are the basis for current computers.
    • will be able to interpret how to design a computer.
    • will be able to interpret how a computer system works.
    • will be able to interpret instruction level parallelism for their own written programs.
    • will be able to interpret scheduling.
    Course Description Topics covered in class include relationship between hardware and software, concepts of the current machines, and computer design concepts.

     



    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 Instructions: Language of the Computer Chapter 2 Computer Organization and Design
    2 Instructions: Language of the Computer Chapter 2 Computer Organization and Design
    3 Arithmetic for Computers Chapter 3- Computer Organization and Design
    4 Arithmetic for Computers Chapter 3- Computer Organization and Design
    5 Assessing and Understanding Performance Chapter 4- Computer Organization and Design
    6 Assessing and Understanding Performance Chapter 4- Computer Organization and Design
    7 The Processor: Datapath and Control Chapter 5- Computer Organization and Design
    8 The Processor: Datapath and Control Chapter 5- Computer Organization and Design
    9 Midterm I
    10 Enhancing Performance with PipeLining Chapter 6- Computer Organization and Design
    11 Enhancing Performance with PipeLining Chapter 6- Computer Organization and Design
    12 Large and Fast: Exploiting Memory Hierarchy Chapter 7- Computer Organization and Design
    13 Large and Fast: Exploiting Memory Hierarchy Chapter 7- Computer Organization and Design
    14 Midterm II
    15 Storage, Networks, and Other Peripherals Chapter 8- Computer Organization and Design
    16 Storage, Networks, and Other Peripherals Chapter 8- Computer Organization and Design

     

    Course Notes/Textbooks Patterson, D. A., Hennessy, J. L., Computer Organization and Design, The Hardware/Software Interface, 3rd edition, The Morgan Kaufmann Series, 2005
    Suggested Readings/Materials Mano, M., Kime, C.R., Logic and Computer Design Fundamentals, Prentice Hall, 2001

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    Presentation / Jury
    Project
    Seminar / Workshop
    Oral Exams
    Midterm
    2
    60
    Final Exam
    1
    40
    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
    16
    9
    144
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    0
    Project
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    2
    8
    16
    Final Exam
    1
    17
    17
        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

     

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