Description
Aims:
To provide the core computational and modelling skills that underpin studies in chemical engineering with emphasis on the modelling and analysis of systems through integration of computation, modelling theory and engineering practice.
Learning Outcomes:
Upon completion of this module students should:
- have a knowledge of, and be able to use, a range of modeling strategies, computational methods and tools for process design and simulation;
- have an understanding of numerical methods for the solution of simple sets of algebraic and differential equations and of linear programming problems;
- understand the role of the computational tools in building management strategies
Synopsis:
- Development of mathematical models for Chemical Engineering process design and simulation
- Basic theoretical knowledge of numerical methods: nonlinear equations, differential equations, optimization
- Tools for design and simulation
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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