Introduction to the numerical algorithms that form the foundations of data science, machine learning, and computational science and engineering. Matrix computation, linear equation systems, eigenvalue and singular value decompositions, numerical optimization. The informed use of mathematical software environments and libraries, such as python/numpy/scipy.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeIntelligent and caring professor, understandable lectures, but very fast paced, hard labs and hard final. CS32 was pretty great with him but 111 had a weekly quiz that was hard and I felt the final was too focused on small details, but he allows a cheat sheet. Both are fast paced, but CS32 has easier material so putting in the work got me an A.
Stay completely still when taking quizzes or exams because he likes to assume you are cheating and make the rest of the quarter unpleasant for you.
I liked him more for CS32. I got bored after week 3 since the topics felt a bit repetitive. He also didn't know how to answer some deeper questions, maybe due to it being in a field that he doesn't have as much expertise in (linear algebra/proofs). I really enjoyed his energy, but sometimes the way he answered questions felt a little condescending.
Matni's lectures are engaging, and the homework is challenging but helpful. Unstuckstudy is a great study tool alongside the free textbook. Attend class, stay organized, and you'll do well.
Awesome prof. Definitely would recommend this course. Very engaging lectures that were very helpful for the quizzes/final. Only semi-difficult part were the short 15 minute quizzes, but if you prepare a small amount, you should be fine. He does drop lowest hw, quiz, and lab grade which is a plus. The final is pretty straightforward.
Very engaging lecturer and made the class material easy to digest with jokes and lots of examples/demos. I read the textbook but it was definitely not necessary, as he covered the material well in class. The quizzes were pretty basic, I only significantly studied for the final, which was very reasonable.