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Modelling and Mathematical Methods in Process and Chemical Engineering
Last Updated: 2026-06-03 00:14:12
Abstract
This module covers theory and tools for the mathematical modeling of chemical processes using mechanistic and data-driven approaches, including algorithms to optimize them via deterministic and stochastic strategies. The module also provides the basis for implementing such models and optimization algorithms in Python.
Objective
The learning objectives include gaining understanding of (i) the methods available to model chemical processes, including dynamic processes, and (ii) the algorithms available to optimize them considering given objectives and constraints. The students will also be able to implement basic models and optimization methods in Python as applied to chemical engineering examples.
Content
The module covers the following contents: · Introduction to the use of Python in the modelling and optimization of chemical processes. · Introduction to optimization. · Linear programming. · Nonlinear programming. · Meta-heuristics. · Optimization of dynamic systems. · Multi-linear regression and regularization methods. · Artificial neural networks. · Gaussian processes. · Bayesian optimization.
Resources
Lecture Notes
Lecture notes will be made available.
Literature
Biegler, L.T., Grossmann, I.E., Westerberg, A.W. Systematic methods of chemical process design, Prentice Hall International PTR (1997). Edgar, T. F., Himmelblau, D. M. Optimization of chemical process, Mcgraw Hill Chemical Engineering Series (2001). Zavala, V. M. Statistics for Chemical Engineers: From Data to Models to Decisions, Cambridge Series in Chemical Engineering (2025).
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- Open book exam
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Modelling and Mathematical Methods in Process and Chemical Engineering |
|
3 h weekly |