PDQ-31306 Predicting Food Quality

Course

Credits 6.00

Language of instruction:

English

Assumed knowledge on:

Signals and Systems Modelling, Introduction Statistics, Food Processing/Chemistry, Microbiology/Physics

Contents:

The course focusses on the building and the use of mathematical models for prediction of food quality attributes, to be used for process and product design including the prediction of uncertainty.

Learning outcomes:

At the end of this course a student is expected to be able to:
- recognise the possibilities and limitations of mathematical methods;
- to build and apply mathematical methods for food science and technological problems.

Activities:

- class teaching of basic principles;
- case-studies using ICT;
- practicals using PC's.

Examination:

The final mark is built up upon a written examination (50%) and the case-study (50%); each element should have at least the mark 5.5.

Literature:

Reader.