DEVELOPMENT OF A HEAT TRANSFER AND ARTIFICIAL NEURAL NETWORKS TEACHING LABORATORY PRACTICAL FOR BIOTECHNOLOGY STUDENTS

摘要: The paper describes a newly developed laboratory practical that teaches students how to develop an Artificial Neural Network model and its possible use in bio-processing. An emphasis is placed on giving "hands on" experience with bio-processing equipment, namely bio-reactors data acquisition systems attempt help prepare them for work chemical engineering industries. INTRODUCTION BSc Biotechnology offered by DCU multidisciplinary degree program encompassing Biological sciences Bioprocess engineering. main of the course directed towards Sciences as 60% material made up of; Microbiology, Biochemistry, Cell Biology, Immunology Molecular Biology. remainder deals Engineering, Mathematics Chemistry. modules deal heat mass transfer, fluid flow bio-reactor theory. In past few years it has been observed seemed be more engaged new aspects biology side course. Within last there efforts modernize engage renew enthusiasm applications biotechnology. To this end 2006 "design build" project was introduced where 2 nd year followed complete design process; designing building simple exchangers using transfer theory (1). This very well received students, approach problem solving requirements at different stages during lab received. 2007 bio-ethanol production third which again demonstrated direction some bio processing research. Interest teaching techniques increased over years. A lot conducted into best present classical theories skills required graduates. There aim try match their learning styles methods. Emphasis universities equip industry. More based employed either virtual laboratories (2) or full practical's (3). industries requirement graduates able solve equipment critical. Therefore hands undergraduate studies requirement. It decide