其实光是列出课程列表没多大用，有用的是 写作业、做项目 ，给出可发表的东西。 不然只是停留在资料收集和整理上。

我要学习 Reverse Engineering includes computer system, network and security, cryptography

学习 AI includes computer vision, machine learning, deep learning

自己完成项目最好有一个明确、高质量可靠的验收标准 比如 我上过的课 就有明确的验收标准；同理，要像 Stanford CS 231n 一样有明确的验收标准，这样才能确保达到明确的目标而不是自己按照模糊的理解写个模棱两可的 report。 必须靠报告输出约束学习。

CS 161: Computer Security https://sp25.cs161.org/

CS155: Computer and Network Security https://cs155.stanford.edu/syllabus.html

Stanford Cryptography I https://crypto.stanford.edu/~dabo/courses/OnlineCrypto/

MIT 18.703 - Modern Algebra (Abstract Algebra) https://ocw.mit.edu/courses/18-703-modern-algebra-spring-2013/pages/instructor-insights/

UCB CS 168 | Spring 2025 - Computer Network https://sp25.cs168.io/

Stanford CS231n - CV https://cs231n.stanford.edu/2024/schedule.html

Cornell CS5670 - CV https://www.cs.cornell.edu/courses/cs5670/2025sp/lectures/

MIT 6.262 | Spring 2011 - Discrete Stochastic Processes https://ocw.mit.edu/courses/6-262-discrete-stochastic-processes-spring-2011/pages/course-notes/

MIT 6.441 | Spring 2016 - Information theory https://ocw.mit.edu/courses/6-441-information-theory-spring-2016/pages/lecture-notes/

Deep Learning book https://www.deeplearningbook.org/

MIT 6.041 | Fall 2010 - Probabilistic Systems Analysis and Applied Probability https://ocw.mit.edu/courses/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/resources/problem-sets/