Makler is the best professor I've had at Stanford. He is caring and makes sure every student has the opportunity to succeed.

Based on the first class for Spring quarter 2017, can someone comment on the expected workload? Also, how does it differ from CS142?

Meets 4 times in the quarter, leaving time for research.

Prof. Bailis is really lively and explains things clearly. He's really easy to approach and is constantly answering questions in lecture. Homework was a weekly quiz online that you could take as many times as you wanted, but it takes a few hours to really learn all the material for the week. The textbook was my number-one-go-to the whole quarter for the quizzes - it has extremely clear examples and formulae that are covered in lecture but laid out a bit more simply in my opinion. Tests were open-book open-computer but no internet. I really enjoyed this class and would recommend it to anyone curious about how databases work.

I agree. Very clear, and was very concerned with how long students were spending on PSets using weekly surveys and actually adjusted until the bell curve went from 15+ to centered at like 6-8 or something like that.

Just looked at the description and honestly am not sure if any of the stuff in 103 was mentioned in 161. I honestly don't remember what I learned from 103 but did ok in 161 anyway. If you can write a proof you're probably fine.

Prof. Bailenson is possibly the best lecturer I've ever had. Very strict about no electronics in class, but lectures are amazing. Mostly skimmed the readings to be honest and still did okay (B overall). Very up-to-date, talking about latest tech from last year. Prof. Bailenson talks a lot about the people behind the tech, which is really neat. Had 2 guest lectures. Midterm/final were little blue books (write answers in blue book, test is a packet); half T/F, half short answer. Lecture attendance is practically mandatory but very worth it. Definitely don't miss the first lecture, since they do a VR demo. All course staff were extremely approachable too. (Win. 2016-17)

Loved this course. Reading was the right amount for a 3 unit course, and all prompts/reading were on the syllabus so you could plan ahead. Prof. Levy and Mr. Young really knew their stuff and led engaging discussions, although sometimes the room would be silent for a bit. Fair grading in my opinion too.

How difficult is the course and how much time does it require? any labs, finals, midterms?

Students usually do it sophomore or junior year. My best advice is to choose the quarter where you have the lightest course load as the labs can be very time consuming. You'll be able to understand the material sophomore or junior year as long as you have the time.

How good of shape do you need to be in to take this course?

How is this class with CS 161? I want to take both next quarter but also survive. I'll also take PWR and an introsem.

What is the workload of the class, under Dannenberg?

How does it compare to CS 109 or STATS 116?

Do you need EE 102B or is EE 102A enough?

He's great at explaining concepts. Workload is slightly more than past 161 professors but very manageable.

I never thought I would get into dance, but this class completely changed that. Now I'm taking all the social dance classes and going to social dance events. Plus Richard Powers is an amazing instructor.

This class was very unhelpful. The topics covered were mainly behavior economics (Kahneman) but were too "academic" compared to dealing with actual negotiations in real-life when people don't respond rationally. The exercises also felt like games because it's hard to take them seriously when you don't have a personal stake in the negotiations.

One of my favorite CS classes at Stanford so far. The incentive topics were very interesting and relevant when you apply them to real-world scenarios. Tim's lecture notes are very detailed and well-written. Except for the game theory PSet, most PSets were a moderate amount of work. The final project was very time-consuming though - we had to write an original research paper and make a 10 minute video.

Very well taught class for anyone interested in Bitcoin and blockchain. Guest speakers were great. 255 should have been a prerequisite. Programming assignments were very meaningful. Final exam was rather difficult.

Is MATH 52 a necessary prerequisite (I have already taken MATH 51 and MATH 53)?

The class is engaging yet laid back for the majority of the quarter. However, the final assignment is very, very long and requires you to be relatively consistent with your work throughout the last few weeks of the quarter. If you end up procrastinating like me, you'll end up turning the paper in late, dropping your grade.

Such a superb course! Being a complete novice to the field, I found it challenging, however I thought it was pitched at the right level (i.e. not too easy, not too hard). I learned some fantastically useful skills, which I think form the perfect prelude to more advanced applications in machine learning and data analysis. Prof. Boyd is simply charismatic and I could not recommend this course more!

How is this class? How does the workload look like?

Would it be suicide to take 110, 109, and 124 together with a poli sci class? I found 107 difficult but got an A in 103.

TA perspective: No, EE108 is not required. In the past one of the labs used FPGAs for a fast control loop, but the lab has been rewritten to use only the class MCU. Additionally, motivated students outside of EE have done quite well in the course, so even EE101B and EE102A are not strictly required, although those without that background should expect to put in an extra 3-6 hours per week to review background material and get extra help from teaching staff.

Can anyone share their experience with this class?

How is this class to take as a senior?

Genesereth used a "reverse classroom" approach which just means he put all the info online and did absolutely nothing himself. Definitely one of the easier ways to satisfy a math requirement for CS but if you don't do well with online learning, this class kinda screws you over. The class meetings are 'discussion sections' led by the TAs about the online exercises. You could see if your exercise was right before submitting though, so that's nice. I actually liked the material, just hated the teacher for somehow getting away with not teaching.

How is Valiant as a teacher? How does he set up the class ie: midterm, final, project, problem sets? What's the estimated amount of work per week realistically? Answer would be super appreciated!