CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Process Optimization KMÜ315 FALL-SPRING 3+0 E 3
    Learning Outcomes
    1-Students achieve this course are learnt mathematical model development methods which are necessary for optimization
    2-Students achieve this course can formulate optimization problems.
    3-Students achieve this course can utilize basic optimization techniques for various applications in chemical engineering
    4-Students define this course are understood the role and importance of the process optimization techniques in chemical industry
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14228
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)3011010
    Project30155
    Laboratory 0000
    Final exam (exam + preparation) 4011010
    Other 0000
    Total Workload (hours)   95
    Total Workload (hours) / 30 (s)     3,17 ---- (3)
    ECTS Credit   3
  • Course Content
  • Week Topics Study Metarials
    1 Modeling and optimization concepts R1- Section 1
    2 Application areas of optimization R1- Section 2
    3 Development of mathematical methods for optimization R1- Section 3
    4 Development of mathematical methods for optimization R1- Section 3
    5 Classic optimization techniques R1- Section 3
    6 Unconstrained optimization R2- Section 5
    7 Unconstrained optimization R2- Section 6
    8 Constrained optimization R2- Section 8
    9 Linear programming R1- Section 4
    10 Linear programming R1- Section 4
    11 Optimization applications in chemical engineering R2- Section 11
    12 Optimization applications in chemical engineering R2- Section 12
    13 Optimization applications in chemical engineering R2- Section 13
    14 Optimization applications in chemical engineering R2- Section 14
    Prerequisites -
    Language of Instruction Turkish
    Responsible Associate. Prof. Dr. Baris SIMSEK
    Instructors -
    Assistants -
    Resources R1) Rao, S. S. (2019). Engineering Optimization: Theory and Practice. (5th ed.). John Wiley & Sons, NY. R2) Edgar, T. F., Himmelblau, D. M., Laston, L.S. (2001). Optimization of Chemical Process, SE, McGrawHill, NY.
    Supplementary Book -
    Goals To give information about basic optimization techniques and to apply these techniques to various chemical engineering problems.
    Content -
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 To be able to apply mathematics, science and engineering theories and principles to Chemical Engineering problems. 4
    2 To have the ability to define, model, and solve problems related to Chemical Engineering. 4
    3 To be able to design and conduct experiments, as well as to analyze and interpret data. 4
    4 To be able to design and analyze a process for a specific purpose within technical and economical limitations. -
    5 To be able to use modern techniques and calculation tools required for engineering applications. 3
    6 To have the awareness of professional liabilities and ethics. 1
    7 To be able to get involved in interdisciplined and multidisciplined team work. 1
    8 To be able to declare his/her opinions orally or written in a clear, concise and brief manner. 1
    9 To improve him/herself by following the developments in science, technology, modern issues, and know the importance of lifelong learning. 1
    10 To be able to evaluate engineering solutions for the global and social problems especially for the health, safety, and environmental problems. 1
    11 To have knowledge about of contemporary issues. 1
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