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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Computer Aided Process Control KMÜ513 FALL-SPRING 3+0 Faculty E 6
    Learning Outcomes
    1-Designs systems using multivariable controllers and analyzes the results from these systems.
    2-Models and analyzes systems with complex dynamic characteristics
    3-Uses advanced process control techniques for various applications in chemical engineering
    4-Applies real-time optimization techniques to complex chemical engineering problems.
    5-Applies advanced process monitoring techniques to chemical processes, analyzes the results obtained.
  • ECTS / WORKLOAD
    • ActivityPercentage

    (100)

    		NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14684
    Assignments202612
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2011515
    Project2012020
    Laboratory 0000
    Final exam (exam + preparation) 4011515
    Other 0000
    Total Workload (hours)   188
    Total Workload (hours) / 30 (s)     6,27 ---- (6)
    ECTS Credit   6
  • Course Content
    • Week Topics Study Metarials
    1 Introducing the mathematical solution programs and operating logic
    2 Organizing the mathematical expressions on computer program
    3 Numerical solution of series and basics equations
    4 Constants and variables, calculations with units
    5 Vectors and matrixes
    6 Solution of equation sets
    7 Statistical functions, symbolic calculations
    8 Midterm exams
    9 Graphics and constitution of graphics, linear interpolation, non-linear interpolation
    10 Differential Equations? Solutions
    11 Conditional Function Solutions
    12 Fitting model to experimental data and optimization
    13 Chemical engineering problem solutions
    14 Chemical engineering problem solutions
    15 Chemical engineering problem solutions
    Prerequisites -
    Language of Instruction Turkish
    Coordinator Associate Prof. Dr. Barış Şimşek
    Instructors -
    Assistants -
    Resources 1. Seborg, D.E., Mellichamp, D.A., Edgar, T.F., Doyle, F.J., ?Process Dynamics and Control?, 3. Ed., John-Wiley&Sons, 2011. 2. Bequette, B.W., ?Process Dynamics: Modeling, Analysis, and Simulation?, Prentice-Hall, 2003. 3. Stephanopoulos, G., ?Chemical Process Control: An Introduction to Theory and Practice?, Prentice-Hall, 1994. 4. Luyben, W.L., ?Process Modeling, Simulation and Control for Chemical Engineers?, 2.Ed., McGrawHill, 1990.
    Supplementary Book -
    Goals Teaching the dynamics of multivariable control systems, giving information about advanced process control techniques and applying these techniques to various chemical engineering problems
    Content Includes feedback control systems design for multivariable systems, review of classical feedback control systems, control of systems with difficult dynamic characteristics, linear and nonlinear systems, process identification in discrete time display, IMC and Model State Feedback controller design
  • Program Learning Outcomes
    • Program Learning Outcomes Level of Contribution
    1 To make scientific researches and reach the knowledge in depth; analyze interpret and apply the knowledge. 3
    2 To have knowledge about current technics, methods and their limitations applied in engineering. 5
    3 To have the ability to define and practice the knowledge by using scientific methods and limited or restricted data and to use the knowledge from other disciplines. 5
    4 To have awareness about the new and developing implementations in engineering and to research and learn them when required. 3
    5 To define and formulate problems concerning chemical engineering , to develop methods for solution and to apply innovative methods for solutions. 5
    6 To develop new and/or original ideas and methods, to design complex systems and processes and to improve alternative/innovative solutions. 5
    7 To design and apply theoretical, applied and simulative researches, to analyse and solve complicated problems encountered during these processes. 5
    8 To lead in multidisciplinary teams, improve solutions in complex situation and to work independently and take responsibility. 4
    9 To use English at least in European Language Portfolio B2 level for both oral and written skills. 4
    10 To declare the results and processes of studies both orally and written in national and international platforms with a systematically and concisely manner. 4
    11 To have awareness about the social, enviromental, health, security and law perspectives and project management and career applications of engineering practices and restrictions of all these. 4
    12 To regard social, scientific liabilities, and ethics during the collection, evaluation, and publication steps of data. 5
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