Prof Wentai Liu is very knowledgeable and caring and he really wants the students to learn, I would say this is one of the harder classes and a good level/background on math, circuits and electrical engineering is definitely needed (I honestly don't recommend this class if you are not an EE or BioE major or at least make sure you have a decent circuit/math experience).

The main thing that makes this class difficult is that you are not really ever told if there is a definite correct answer and assignments are graded more so on your thought process and approach and not necessarily on how accurate your answer is to the prof's "answer key" (you don't even get an actual answer key).

The office hours are the best way to get any questions answered and the prof is very patient and puts time to help.

There is a good bit of coding/programming (either matlab or python) which these days chatgpt handles with ease but still good to have some basic experience as it will make the HWs much easier.

There is only like 3-4 HW problems but they very long and have many many parts (A-G part kind of thing) so make sure to start early and not leave it for last minute.

Overall a very interesting class, but I wish there was a bit more clear direction on what is considered a right/acceptable answer or not.

Additionally this class is curved like crazy so don't stress about not doing well or not knowing everything, make sure to participate and be engaged in the class and you be fine.

Super cool class, especially coming as a neuroscience major. I can only speak for someone with the life sciences background but I felt that this class was not too difficult for me in terms of mathematical or engineering concepts. The TA (mine was Kanishk) and the professor always reminded us if we needed help or an explanation they would be happy to give them, and this helped me a lot if I did have any questions. There is no textbook but the professor gives quite a few papers to read through and I highly recommend doing so because it gives a more conceptual understanding of the topics discovered in lecture. Lecture attendance isn't mandatory but a lot of the topics he emphasizes during lecture come up on the final exam. One thing I would caution is that this class takes up a lot of time and it sholud be taken with a lighter load. Additionally, you should ideally know how to code (ideally in MATLAB or Python) because homework and the final project are expected to be done in one of those languages.

This class needs a rework - the course description does not match this class at all. I went in thinking we would learn about various technologies and applications of research in neural engineering, but every lecture is a convoluted presentation on deriving various circuit models of electrodes. The prerequisite is Physics 1B/5C, but the circuitry is more complicated. The homework isn't that bad, but you have to sort through a bunch of slides of nonsensical proofs and the occasional cool picture of an application to get the right formulas. The final project, which involves a fair bit of signal processing and machine learning, involves NONE of what the class teaches up to that point. Professor Liu is nice though, but wouldn't recommend this class.