Biochemical Engineering


Mathematic Modelling and Analysis II

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Course Code
Level Two
Credits 0.5
Module Tutor
Dr Alex Kiparissides
Three-hour written examination: 80%
Coursework: 20%


To provide the core mathematics, modelling and analysis skills that underpin studies in engineering through a blended learning and teaching programme of mathematics that:
•    Emphasises the modelling of engineering systems and the analysis of data;
•    Integrates mathematics theory and engineering practice.

Learning Hours


Lectures: 20h
Seminars/tutorials: 20h


By the end of the course students should be able to :

  • Recognise the connections between mathematics and engineering, and how mathematical ideas are embedded in engineering contexts;
  • Represent real-world systems from engineering in a mathematical framework;
  • Identify and draw upon a range of advanced mathematical concepts, including Vector Calculus, Matrices and Eigenvectors/Values, Statistics, Series and Transforms, and Partial Differential Equations (PDEs) to analyse specific problems and identify the appropriate mathematics to realise a solution;
  • Employ appropriate computer programming and modelling techniques and statistical analysis to efficiently solve and evaluate the performance of engineering systems;
  • Relate the behaviour of the output of mathematical models to the underlying physical or conceptual models of interest;
  • Carry our engineering problem solving both collaboratively in a team and independently;
  • Present and interpret mathematical results in effective and appropriate ways to varied audiences, including non-mathematical engineering audiences.