CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • 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
    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 R1-S1
    2 Organizing the mathematical expressions on computer program R1-S2
    3 Numerical solution of series and basics equations R1-S3
    4 Constants and variables, calculations with units R1-S4
    5 Vectors and matrixes R1-S5
    6 Solution of equation sets R1-S6
    7 Statistical functions, symbolic calculations R1-S7
    8 Graphics and constitution of graphics, linear interpolation, non-linear interpolation R1-S8
    9 Differential Equations? Solutions R1-S9
    10 Conditional Function Solutions R1-S10
    11 Fitting model to experimental data and optimization R2-S1
    12 Chemical engineering problem solutions R2-S2
    13 Chemical engineering problem solutions R2-S3
    14 Chemical engineering problem solutions R2-S4
    Prerequisites -
    Language of Instruction Turkish
    Responsible Associate Prof. Dr. Barış Şimşek
    Instructors -
    Assistants -
    Resources R1) Seborg, D.E., Mellichamp, D.A., Edgar, T.F., Doyle, F.J. (2011). Process Dynamics and Control. (3. Ed.). John-Wiley&Sons, USA. R2) Bequette, B.W. (2003). Process Dynamics: Modeling, Analysis, and Simulation. Prentice-Hall, USA.
    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 Making scientific researches and reach the knowledge in depth; analyzing, interpreting and applying knowledge 3
    2 Having knowledge about current technics, methods and their limitations applied in engineering 5
    3 Ability to define and practice the knowledge by using scientific methods and limited or restricted data and use the knowledge from other disciplines 5
    4 Having awareness about the new and developing implementations in engineering and examining and learning them when required 3
    5 Defining and formulating problems related to the field, developing methods to solve and applying innovative methods in solutions 5
    6 Developing new and/or original ideas and methods; designing complex systems or processes and developing innovative/alternative solutions in their designs 5
    7 Designing and applying theoretical, experimental and modeling-based research; Analyzing and inspecting complex problems encountered during these process 5
    8 Leading multidisciplinary teams, developing solution approaches in complex situations, working independently and taking 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 Knowing the social, enviromental, health, safety legal aspects of engineering practices,project management and business life practices and being aware of the constrains they impose on engineering practices. 4
    12 Observing social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities 5
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