Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Chemical Engineering
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Advanced Mathematical Modeling in Chemical Engineering
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title KMH606 - Advanced Mathematical Modeling in Chemical Engineering
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR SEMA AKYALÇIN
Mode of Delivery The mode of delivery of this course is face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended KMH303 Mathematical Modelling inChemical Engineering course is also recommended to the students.
Required or Recommended Resources Jenson, V.G., Jeffreys, G.V. (1977) Mathematical Methods in Chemical Engineering. London: Academic Press.
Recommended Reading List
Assessment methods and criteria 1 Midterm Exam, 1 Final Exam and  Homework
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Energy and Mass Balances in Steady-State Systems
Week - 2 Energy and Mass Balances in Steady-State Systems
Week - 3 Modelling of Usteady-Sate Single Variable Systems
Week - 4 Modelling of Usteady-Sate Single Variable Systems
Week - 5 Modeling of Unsteady State Multivariable Systems
Week - 6 Modeling of Unsteady State Multivariable Systems
Week - 7 Modeling of Unsteady State Multivariable Systems
Week - 8 Mathematical Modeling in Chemical Reaction Systems
Week - 9 Mathematical Modeling in Chemical Reaction Systems
Week - 10 Mathematical Modeling in Chemical Reaction Systems
Week - 11 Solution of Finite Difference Equations
Week - 12 Solution of Finite Difference Equations
Week - 13 Computer program (Matlab, simulink ) applications
Week - 14 Computer program (Matlab, simulink ) applications

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Drill - Practise
  • Case Study
  • Competences
  • Rational
  • Questoning
  • Use time effectively
  • Problem solving
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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