Artificial Neural Network Course Designing Based on Large-Unit Teaching Mode

In order to meet the social demand for artificial intelligence specialists, a number of universities have set up related majors. Artificial neural networks are one of the core courses in these majors. However, due to the rapid development of neural network theory and its application, the course content is recent and vast. Moreover, the content is not closely related, which makes the topics difficult for students to understand. Therefore, in this paper, we adopt the large-unit teaching mode and design an artificial neural network course to improve teaching performance, including the course objectives, teaching activities, and evaluation methods. The teaching results reveal that most students achieve good performance and are satisfied with it.