论文标题
将机器学习概念整合到本科课程中
Integrating machine learning concepts into undergraduate classes
论文作者
论文摘要
在这份创新的过程中，我们比较了两种不同的方法来教机器学习概念，以便在电气工程领域的本科生。尽管现在在几个课程中以机器学习为高级选修课，但这并不意味着所有学生都可以接受。接触机器学习的概念和实际应用将有助于创建一个劳动力，准备解决与机器学习有关的问题，该问题目前是行业中的热门话题。初步评估表明，这种方法促进了学生的学习。尽管学生更喜欢拟议的并排教学方法，但数值比较表明，研讨会方法可能对学生学习更有效，这表明需要在这一领域进行进一步的工作。
In this innovative practice work-in-progress paper, we compare two different methods to teach machine learning concepts to undergraduate students in Electrical Engineering. While machine learning is now being offered as a senior-level elective in several curricula, this does not mean all students are exposed to it. Exposure to the concepts and practical applications of machine learning will assist in the creation of a workforce ready to tackle problems related to machine learning, currently a hot topic in industry. Preliminary assessments indicate that this approach promotes student learning. While students prefer the proposed side-by-side teaching approach, numerical comparisons show that the workshop approach may be more effective for student learning, indicating that further work in this area is required.
