Teaching content exploration of algorithm design and analysis course for AI major
In existing algorithm design and analysis courses,just some classical algorithms are involved,which affects the learning initiative for the students majored in AI since there is lack of connection between classic algorithms and cutting-edge AI algorithms.Thus,the teaching design of incorporating the algorithms in the cutting-edge AI algorithmic technology with the same ideas as the classical algorithms into the course is explored.Specifically,the safe reinforcement learning algorithm with the ideas of"pruning","local optimization"and"recursion",and its application to the cliff walking problem are selected as supplementary materials for the course.The survey questionnaire results show that this teaching design can help students to improve their learning initiative.
artificial intelligence(AI)majoralgorithm design and analysis coursecutting-edge AI algorithmslearning initiative
NETL
NSTL
万方数据
维普
