Course syllabus for Mathematical modelling in chemical engineering

Course syllabus adopted 2024-02-08 by Head of Programme (or corresponding).

Overview

  • Swedish nameMatematisk modellering i kemitekniken
  • CodeKAA052
  • Credits7.5 Credits
  • OwnerTKKEF
  • Education cycleFirst-cycle
  • Main field of studyChemical Engineering, Mathematics
  • DepartmentCHEMISTRY AND CHEMICAL ENGINEERING
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 54116
  • Maximum participants75
  • Open for exchange studentsNo

Credit distribution

0115 Project 3 c
Grading: UG		 3 c
0215 Examination 4.5 c
Grading: TH		 4.5 c
  • 12 Okt 2024 am J

In programmes

Examiner

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Eligibility

General entry requirements for bachelor's level (first cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

The same as for the programme that owns the course.
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

The course is adapted to chemical engineering students and basic chemical engineering, in particular transport phenomena, knowledge will be assumed. Basic mathematics, statistics and programming (MatLab) skills are also needed.

Aim

To give insight and skill in the formulation, construction, simplification, evaluation/interpretation and use of mathematical models in chemical engineering.

Learning outcomes (after completion of the course the student should be able to)

Build, solve and apply mathematical models in chemical engineering, e.g for the design, scale up/down, optimization and operation of reactors, separators and heat exchangers.

In particular:
  • Construct mathematical models by making balances, differential or macroscopic, of momentum, heat, mass or number
  • Construct models by simplifying general equations
  • Understand and apply various strategies for model simplification
  • Understand differences in mathematical models
  • Understand and apply numerical solution methods
  • Understand and perform parameter estimation
  • Judge if a model is good enough

Content

Lectures: Model formulation, classification, model philosophy, numerical methods, approximate methods, model reduction, parameter estimation and validation.

Exercises: Problem solving

Project: In small project groups more complex models are developed. This includes: conceptual modelling, mathematical model building, numerical solution using MathLab and parameter estimation.

Organisation

The course contains lectures, excersises and a compulsory project.

Literature

Rasmuson A., B. Andersson, L. Olsson, R. Andersson: Mathematical Modeling in Chemical Engineering. Cambridge University Press 2014

Examination including compulsory elements

Written examination (5 hours).
Written and oral presentation of project.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.