Experimental Teaching Innovation of Intelligent Sensor System Course for Educating Innovative Ability of Students

In traditional experiments, the students are usually required to observe the experimental phenomena and grasp the functions of instruments, and are not taught on the methods how to realize the functions. And consequently they can not firmly grasp knowledge they have learned. For overcoming the shortcomings of the traditional experiments, the experimental teaching innovation was conducted in one of graduate degree courses, Intelligent Sensor System. A novel experimental teaching mode was proposed, having four progressive and interactive stages such as self-learning, self-training, self-application and self-improvement. One experiment of SVM (Support Vector Machine) technology for improving the stability of system is introduced in detail. Through the experimental teaching innovation within five years, the students without professional knowledge on measurement could fully understand the principle of experiments, and grasp the function of experimental instrument and the realization methods of the functions. It indicates that the experimental teaching innovation mode could make the students learning by analogy and applying their knowledge, and thereby upgrading the innovative ability of students.