In the past few days in the UK, I participated in a total of six university-level classes, covering six subjects: mathematics, computer science, engineering, physics, law, economics, and biology. Among them, I am most interested in mathematics and computer science, both of which have been greatly inspiring to me. The teacher who taught us is a senior student currently pursuing a PhD in Mathematics at the University of Cambridge. First, he introduced us to an overview of Cambridge University, including the composition of the school, the characteristics of each college, and the Supervision system that is still maintained only at Oxford, Cambridge, and Durham. He also analyzed in detail the undergraduate curriculum arrangement for mathematics and AI majors for each of the four years, the daily schedule, as well as key points and tips for applications. Afterwards, the teacher led us in experiencing university-level mathematics and computer science classes together. In the mathematics class, he mainly explained Bayes statistics, vividly demonstrating the origin and use of each concept and formula by immersing us in different scenarios. In the computer science class, we learned about the concept of neural networks and the architecture and principles behind current large language models. We also discussed AI safety issues that arise from such technologies. The course content was very rich, and I benefited a lot from it—it further clarified my intended major for future university applications and made me realize deeply the importance of mathematics in the field of science and engineering.