Course Syllabus for

Model Calibration of Process Systems
Modellkalibrering av processystem

KET121F, 7.5 credits

Valid from: Autumn 2019
Decided by: Margareta Sandahl
Date of establishment: 2019-08-27

General Information

Division: Chemical Engineering
Course type: Third-cycle course
Teaching language: English


Give insight into how mathematical models of process systems can be calibrated and validated against experimental data and how experiments should be planned for good model calibration.


Knowledge and Understanding

For a passing grade the doctoral student must know the basic methods for linear and nonlinear regression as well as corresponding regression analysis.

Competences and Skills

For a passing grade the doctoral student must use the basic methods in parameter estimation, model calibration and machine learning.

Judgement and Approach

For a passing grade the doctoral student must understand how the quality of data and design of experiments affect model calibration and evaluate properties of methods for parameter estimation and how these influence model calibration.

Course Contents

The course presents methods and their properties for parameter estimation and model calibration. The first part focuses on basic methods for linear and nonlinear regression along with model calibration. The second introduces experimental planning (DoE) and multivariate statistics, and machine learning. Some assignments and a model calibration project are also included in the course.

Course Literature

Englezos, P. & Kalogerakis, N.: Applied Parameter Estimation for Chemical Engineers.. Dekker media, 2001.

Instruction Details

Types of instruction: Lectures, exercises, project

Examination Details

Examination formats: Written report, written assignments, seminars given by participants
Grading scale: Failed, pass

Admission Details

Admission requirements: Basic courses in transport phenomena, reaction engineering and separtion engineering or equivalent courses

Course Occasion Information

Contact and Other Information

Course coordinators:
Web page:

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