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
  • Faculty of Engineering
  • Department of Chemical Engineering
  • Course Structure Diagram with Credits
  • Computer Programming in Chemical Engineering
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title KMH2006 - Computer Programming in Chemical Engineering
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+2
ECTS 4.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ MURAT TAMER
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 There is no recommended optional programme component for this course.
Required or Recommended Resources
Recommended Reading List Moore, H. (2017). MATLAB for Engineers. Pearson.
Assessment methods and criteria 1 Midterm, 1 final, 2 quizzes
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to programming concepts
Week - 2 Variable definition and basic mathematical operations
Week - 3 Matrix and vector structures, array operations
Week - 4 Linear equation solutions with matrices and vectors
Week - 5 Two and three dimensional graphical plots
Week - 6 Polynomial operations - Regression analysis
Week - 7 Root finding and curve fitting methods with polynomials
Week - 8 Introduction to programming: Algorithm development and flow diagrams
Week - 9 Conditional statements: Switch-case structures
Week - 10 Conditional expressions: If / Elseif structures
Week - 11 Loop structures: For, While, Break, Continue
Week - 12 Numerical methods: Finding roots with fixed point iteration
Week - 13 Numerical methods: Newton-Raphson and Runge-Kutta methods
Week - 14 Numerical methods: Numerical integration with Simpson's rule

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Competences
  • Effective use of a foreign language
  • Problem solving

Assessment Methods

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