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This presentation describes the teaching experience in a course on Sensors Electronics following the criteria of the Erasmus Mundus Masters and applied to International Master in Materials and Sensor Systems for Environmental Technologies given at Universitat Politecnica de Valencia. The main teaching challenge was to provide a course of clearly electronic content to students from any related field, mostly with chemistry and the environment, for this, a program with a large practical component was developed and therefore, electronic modules for measurements with different types of sensors were constructed and applied.

A comparative study among a Fuzzy ARTMAP, a Multi-Layer Feed-Forward network (MLFF) and a Linear Discriminant Analysis (LDA) has been done in a liquids classification system in order to obtain the best implementation on a microcontroller based system. These algorithms are initially trained with a multi-electrode array on a Personal Computer (PC) using several samples of waters to obtain the optimum architecture of the networks. Once it is trained, the computed data are programmed into the microcontroller, which then gives the water classification directly for new unknown water samples. The multi-electrode has been developed using thick-film technology