Study on the Curriculum Development Method Based on the Amount of Knowledge Acquisition

The scientific design of the curriculum is a very important issue guaranteeing the quality of university education. The basic aim of drawing up a curriculum is how to organize the subjects so as to fit for the goal of training a talent and what is centered in drawing up a curriculum. It could be expressed as the evaluation index of a curriculum and how to set this index is also important. We focused on the amount of knowledge that can be considered the key to the talent evaluation index of university education and studied the curriculum evaluation model with a maximum knowledge acquisition. Then, we proposed the curriculum drawing methods by topological alignment algorithms. We established the evaluation method for constructing the subjects so that it could correspond to the talent training target of the relevant university course and made the knowledge acquisition model imitating the neural cell learning model in the artificial neural network. Based on this, we proposed this method. The method proposed in this paper should be more primitive that the ones by the modern algorithm but it has a number of advantages for the purpose of getting the maximum acquisition amounts.