Adaptive methods are used in almost all disciplines of applied and computational mathematics, where the problem solving procedure adapts to the feedback from the quantities of interest. Inspired by this methodology, we will discuss the practice of the adaptive education, and the adaptive design of classes for the data science specialization. With the help of the smart classroom technologies at UC Irvine, we can better execute the instruction of programming in mathematics and data science to make our students learn to be more competent for both industry and graduate school.  Lastly, we share some ideas of future plans to further strengthen our strong undergraduate program and serve our community.