CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Advanced Process Optimization KMÜ515 FALL-SPRING 3+0 Faculty E 6
    Learning Outcomes
    1-Uses experimental and semi-experimental multi-response mathematical model development methods required for optimization.
    2-Solves multi-answer optimization problems related to the field.
    3-Uses advanced optimization techniques for various applications in chemical engineering.
    4-Understands the place and importance of heuristic techniques in solving complex optimization problems in the chemical industry.
  • 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 Modeling and optimization concepts R1-S1
    2 Graphical optimization R1-S2
    3 Development of theoretical mathematical models R1-S3
    4 Development of experimental mathematical models R1-S4
    5 Development of quasi-experimental mathematical models R1-S5
    6 Classical optimization techniques R1-S6
    7 Linear programming R1-S7
    8 Nonlinear programming R1-S8
    9 Nonlinear programming R2-S1
    10 Integer Programming R2-S2
    11 Stochastic Programming R2-S3
    12 Intuitive Approaches R2-S4
    13 Intuitive Approaches R2-S5
    14 Applications of advanced optimization techniques in chemical engineering R2-S6
    Prerequisites -
    Language of Instruction Turkish
    Responsible Associate Prof. Dr. Barış Şimşek
    Instructors

    1-)Profesör Dr. Barış Şimşek

    Assistants -
    Resources R1) Baker, K.R. (2011). Optimization Modeling with Spreadsheets. (2. Ed.). John-Wiley&Sons, USA. R2) Edgar, T. F., Himmelblau, D. M., Laston, L.S. (2001). Optimization of Chemical Process, SE, McGrawHill, USA.
    Supplementary Book -
    Goals Teaching experimental modeling techniques based on experimental design, giving information about advanced multi-response linear, nonlinear, heuristic optimization techniques and applying these techniques to various chemical engineering problems
    Content The development of theoretical, experimental and quasi-experimental meta-models includes constrained and unconstrained optimization concepts and techniques, linear programming and constrained nonlinear programming, integer and mixed integer programming, heuristic algorithms, and optimization applications in the chemical industry.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Making scientific researches and reach the knowledge in depth; analyzing, interpreting and applying knowledge 4
    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 4
    4 Having awareness about the new and developing implementations in engineering and examining and learning them when required 4
    5 Defining and formulating problems related to the field, developing methods to solve and applying innovative methods in solutions 4
    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 5
    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. 3
    12 Observing social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities 4
    Çankırı Karatekin Üniversitesi  Bilgi İşlem Daire Başkanlığı  @   2017 - Webmaster