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İzmir Ekonomi Üniversitesi

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    GRADUATE SCHOOL

    M.SC. in Computer Engineering (Without Thesis)

    STAT 561 | Course Introduction and Application Information

    Course Name
    Statistical Softwares and Simulation
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    STAT 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 This course aims to make the students familiar with basic statistical programs. The accent is made on two programs –Matlab and Arena.
    Learning Outcomes

    The students who succeeded in this course;

    • will be aware of modern Statistical Software.
    • will be able to choose up to dates Software and install it.
    • will be able to state and perform applied statistical models.
    • will be able to use the chosen statistical package.
    • will be able to apply the knowledge and skill to real life problems arising in applied statistics.
    Course Description The course includes. Description of statistical software. Basic commands and operations in Matlab. Various simulation techniques of Matlab. Codes and commands of Arena.

     



    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 Software Selection “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY.: 12:53.
    2 Software Description. Vendors of Sowtware. “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY. 73:92.
    3 Matlab: Matrix Operations, Data Analysis. “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 9:42.
    4 Matlab: Graphing, Mfiles. “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 56:78.
    5 The use of Matlab in mathematical computing: Various problems. “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 89:151.
    6 Generating random numbers “Simulation” by Sheldon M.Ross, Elsevier: 41:48.
    7 Generating discrete random variables. “Simulation” by Sheldon M.Ross, Elsevier: 49:62.
    8 Generating continuous random variables. “Simulation” by Sheldon M.Ross, Elsevier: 67:91.
    9 Simulation of probabilistic events with Matlab.. “Simulation” by Sheldon M.Ross, Elsevier: 117:219.
    10 Project 1 Simulation with Matlab.
    11 Modeling Basic Operations and Inputs. “Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill: 115:150.
    12 Statistical Analysis of Output from Terminating Simulations. “Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill:265:292.
    13 Intermediate Modeling and SteadyState Statistical Analysis. “Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill:293:321.
    14 Project 2 Simulation with Arena.
    15 Review for Final Exam
    16 Review of the Semester  

     

    Course Notes/Textbooks “Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY.
    Suggested Readings/Materials 1. “Numerical methods using Matlab” by J.Mathews, K.Fink.2. “Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill. 3. “Simulation” by Sheldon M.Ross, Elsevier.

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    1
    20
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    Presentation / Jury
    Project
    2
    40
    Seminar / Workshop
    Oral Exams
    Midterm
    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
    15
    7
    105
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    0
    Project
    2
    16
    32
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    0
    Final Exam
    1
    40
    40
        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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