Guani Wu
AD
Based on 78 Users
Lectures slides are clear and informative. You might want to take notes on his lecture slide "doodles" during lectures, because they are important and will not be updated on lecture slides.
Homeworks and exams are tough. Although he meant well to push students study hard, assignment policies are harsh and he explicitly forbids collaboration. Respondus Lockdown Browser is mandatory for exams.
Heads up for homework due date changes and check CCLE daily. For Winter 2021, he moved the deadline of the last assignment several days ahead without informing students.
It absolutely disrupted my review schedule for another class' final . Some students I know ended up pulling all-nighters to cram this last assignment. Hopefully this will never happen again.
This class wasn't difficult. The content was straightforward and Professor Wu was a good lecturer. There were a few R programming labs, but the TAs gave all the answers in discussion. The midterm and final were multiple choice and while they were on Respondus, they weren't bad. Overall, I would highly recommend this class and Professor Wu.
I would not recommend this class because of the grading structure. The overall material is not tough even if you do not come from a statistics background. However, the grading structure has no room for improvement or mistakes.
There are two exams: a midterm and final. Each is approximately 30 questions and theory-based, but the content of the exams is not similar to the textbook questions or lecture clicker questions. The class median for these exams were around a C, and this did not concern the professor. Scoring the median grade is basically a guaranteed B, despite doing extremely well on the final.
I would not take this class again as I felt I was not given the opportunity to learn.
TLDR; the class is relatively easy, the professor was pretty good and explained well, but the exams were difficult imo.
Admittedly, this class was relatively easy in terms of class content. As someone who didn't take AP Stats, it was easy to follow along, although there were some concepts that I had some trouble with. But all in all, if you pay attention to the lectures and read through the textbook you should be fine. I had this class entirely in person. So his lectures are about an hour and fifteen and he uses powerpoints, which I believe he posts on CCLE. He also recorded his lectures so it wasn't a big issue if you missed some classes; although participation doesn't matter, he did pass around a paper a few times throughout the quarter as a sign-in sheet, but that was for the school, not the class. As a lecturer, he's pretty good; he explains the concepts pretty well and gives a lot of examples in his slides; I found myself understanding the contents of the course pretty well.
The real kicker was the exams. He does provide sample exams for the midterm and final, but I wouldn't put too much trust into those as representative of the actual exams. From what I know, they're recycled questions from throughout all the stats classes. In my opinion, Wu's exams were much much harder than the sample he gives; the samples probably work as a reminder, but the actual exams were more specific and were often worded in a tricky way. It was entirely multiple-choice, about 25-26 questions, each worth about 4 points. But you can see that missing a few questions isn't desirable. I believe for my class, the midterm mean was 71, which he did not curve by the way, and the final mean was about 66. I would say, the quiz questions are the closest to the types of questions you'll get on the exams. You get about 6 or so quizzes on CCLE, one attempt but it's not timed.
As for homework and labs, they were manageable; he wanted everything to be typed. We got 6 homework assignments, the 7th one being extra credit, an extra 2% to our grade. The homework assignments are relatively easy, all from the textbook, and all based on the content we learned, and if you didn't remember, you could look back in the textbook. The textbook is mandatory, but I got it through the Inclusive Access thing. For the odd questions, you can check your answers in the back of the book, for the evens, the odd question before was usually a similar style of question. FYI, some questions had multiple parts. And often, the longest questions for me were the calculating ones; you can imagine how long calculating standard deviation usually takes, especially when you're typing out the equation and showing all your work. The labs are pretty difficult to go through on your own if you don't already have knowledge in R coding; you do have to download R but they show you how to do it. We had 5 labs. I would say it depends on your TA. Personally, my TA (Vincent Liu) was a bit shy and awkward, very quiet, and didn't really explain well, but he basically gave us a walkthrough of the labs; an easy way to ace the labs. He did it step by step (I can't speak for the other TA's), so going to the discussions is what I recommend for labs. I got perfect scores on my labs because of it.
The most difficult concepts were taught right before the midterm and final. He does curve, but the exams were so difficult and I would not take them again. He is helpful in explaining the concepts, but the problem is that the difficulty from quizzes and in class examples to exam questions is quite a jump. I suggest looking up YouTube videos on how to do IEEE-754 conversions (extremely helpful) and any of the algorithm content.
As for the homework, they were mostly manageable, given that you go to office hours (his or the TA's) and get help. Note: you can't work on the homework together, so office hours is the only way to get help. Also, you don't get to drop any homework assignments. There was one extremely difficult homework assignment, so I suggest starting on homework as soon as possible so you can get help right away.
Nice guy but workload is heavy (each hw took anywhere from 5-15 hrs) and exams are brutal. Curve is super generous so most people get decent grades but you don't really know your standing until the end. Class was hard but not impossible, just took a lot of time.
Professor Wu himself is really nice, but I don't think he was all that great at explaining in a way that everyone understands. He basically reads the slides word for word and then gives homework out of the textbook. I took AP STATS in high school but this class threw me for a loop. I would not take this class with Professor Wu if you are NOT a math oriented person, because I feel like the people who did well in this class were people that were in math/science related majors. The midterm and final are HARD, they are much harder than the quizzes and the practice exams, and I honestly did not find a great way to prepare myself for them. Also, do not expect your TA's to be very helpful with the work that you do in lecture. I asked my TA for help on homework questions multiple times and he was unable to find an answer, or was unsure of himself. It's pretty much like you are taking 2 separate classes: lecture, where you learn about introductory statistics, and discussion where you learn basic coding. If you are intimidated by the coding in this class, DON'T BE. Professor Wu does not include it on the exams, and your TA will literally give you all the answers in discussion. Overall, it is not the absolute worst class you could take, but I Personally would not take it with Professor Wu again.
I thought the professor was good. His lectures were pretty boring but if you pay attention the entire time you'll be fine. His slides are super helpful. I found that most people who are STEM majors will find this class to be a breeze, while my non-stem peers didn't do as well.
I am honestly shocked about the current rating that this course has. Professor Wu is my favorite professor at UCLA and goes out of his way to be accommodating to his students. This course was challenging and you will need to work hard, but it is by no means impossible. Professor Wu has a more theoretical teaching style, but if you have questions and you go to office hours he will take the time to help you understand. He really is a great guy. Good luck!
Lectures slides are clear and informative. You might want to take notes on his lecture slide "doodles" during lectures, because they are important and will not be updated on lecture slides.
Homeworks and exams are tough. Although he meant well to push students study hard, assignment policies are harsh and he explicitly forbids collaboration. Respondus Lockdown Browser is mandatory for exams.
Heads up for homework due date changes and check CCLE daily. For Winter 2021, he moved the deadline of the last assignment several days ahead without informing students.
It absolutely disrupted my review schedule for another class' final . Some students I know ended up pulling all-nighters to cram this last assignment. Hopefully this will never happen again.
This class wasn't difficult. The content was straightforward and Professor Wu was a good lecturer. There were a few R programming labs, but the TAs gave all the answers in discussion. The midterm and final were multiple choice and while they were on Respondus, they weren't bad. Overall, I would highly recommend this class and Professor Wu.
I would not recommend this class because of the grading structure. The overall material is not tough even if you do not come from a statistics background. However, the grading structure has no room for improvement or mistakes.
There are two exams: a midterm and final. Each is approximately 30 questions and theory-based, but the content of the exams is not similar to the textbook questions or lecture clicker questions. The class median for these exams were around a C, and this did not concern the professor. Scoring the median grade is basically a guaranteed B, despite doing extremely well on the final.
I would not take this class again as I felt I was not given the opportunity to learn.
TLDR; the class is relatively easy, the professor was pretty good and explained well, but the exams were difficult imo.
Admittedly, this class was relatively easy in terms of class content. As someone who didn't take AP Stats, it was easy to follow along, although there were some concepts that I had some trouble with. But all in all, if you pay attention to the lectures and read through the textbook you should be fine. I had this class entirely in person. So his lectures are about an hour and fifteen and he uses powerpoints, which I believe he posts on CCLE. He also recorded his lectures so it wasn't a big issue if you missed some classes; although participation doesn't matter, he did pass around a paper a few times throughout the quarter as a sign-in sheet, but that was for the school, not the class. As a lecturer, he's pretty good; he explains the concepts pretty well and gives a lot of examples in his slides; I found myself understanding the contents of the course pretty well.
The real kicker was the exams. He does provide sample exams for the midterm and final, but I wouldn't put too much trust into those as representative of the actual exams. From what I know, they're recycled questions from throughout all the stats classes. In my opinion, Wu's exams were much much harder than the sample he gives; the samples probably work as a reminder, but the actual exams were more specific and were often worded in a tricky way. It was entirely multiple-choice, about 25-26 questions, each worth about 4 points. But you can see that missing a few questions isn't desirable. I believe for my class, the midterm mean was 71, which he did not curve by the way, and the final mean was about 66. I would say, the quiz questions are the closest to the types of questions you'll get on the exams. You get about 6 or so quizzes on CCLE, one attempt but it's not timed.
As for homework and labs, they were manageable; he wanted everything to be typed. We got 6 homework assignments, the 7th one being extra credit, an extra 2% to our grade. The homework assignments are relatively easy, all from the textbook, and all based on the content we learned, and if you didn't remember, you could look back in the textbook. The textbook is mandatory, but I got it through the Inclusive Access thing. For the odd questions, you can check your answers in the back of the book, for the evens, the odd question before was usually a similar style of question. FYI, some questions had multiple parts. And often, the longest questions for me were the calculating ones; you can imagine how long calculating standard deviation usually takes, especially when you're typing out the equation and showing all your work. The labs are pretty difficult to go through on your own if you don't already have knowledge in R coding; you do have to download R but they show you how to do it. We had 5 labs. I would say it depends on your TA. Personally, my TA (Vincent Liu) was a bit shy and awkward, very quiet, and didn't really explain well, but he basically gave us a walkthrough of the labs; an easy way to ace the labs. He did it step by step (I can't speak for the other TA's), so going to the discussions is what I recommend for labs. I got perfect scores on my labs because of it.
The most difficult concepts were taught right before the midterm and final. He does curve, but the exams were so difficult and I would not take them again. He is helpful in explaining the concepts, but the problem is that the difficulty from quizzes and in class examples to exam questions is quite a jump. I suggest looking up YouTube videos on how to do IEEE-754 conversions (extremely helpful) and any of the algorithm content.
As for the homework, they were mostly manageable, given that you go to office hours (his or the TA's) and get help. Note: you can't work on the homework together, so office hours is the only way to get help. Also, you don't get to drop any homework assignments. There was one extremely difficult homework assignment, so I suggest starting on homework as soon as possible so you can get help right away.
Nice guy but workload is heavy (each hw took anywhere from 5-15 hrs) and exams are brutal. Curve is super generous so most people get decent grades but you don't really know your standing until the end. Class was hard but not impossible, just took a lot of time.
Professor Wu himself is really nice, but I don't think he was all that great at explaining in a way that everyone understands. He basically reads the slides word for word and then gives homework out of the textbook. I took AP STATS in high school but this class threw me for a loop. I would not take this class with Professor Wu if you are NOT a math oriented person, because I feel like the people who did well in this class were people that were in math/science related majors. The midterm and final are HARD, they are much harder than the quizzes and the practice exams, and I honestly did not find a great way to prepare myself for them. Also, do not expect your TA's to be very helpful with the work that you do in lecture. I asked my TA for help on homework questions multiple times and he was unable to find an answer, or was unsure of himself. It's pretty much like you are taking 2 separate classes: lecture, where you learn about introductory statistics, and discussion where you learn basic coding. If you are intimidated by the coding in this class, DON'T BE. Professor Wu does not include it on the exams, and your TA will literally give you all the answers in discussion. Overall, it is not the absolute worst class you could take, but I Personally would not take it with Professor Wu again.
I thought the professor was good. His lectures were pretty boring but if you pay attention the entire time you'll be fine. His slides are super helpful. I found that most people who are STEM majors will find this class to be a breeze, while my non-stem peers didn't do as well.
I am honestly shocked about the current rating that this course has. Professor Wu is my favorite professor at UCLA and goes out of his way to be accommodating to his students. This course was challenging and you will need to work hard, but it is by no means impossible. Professor Wu has a more theoretical teaching style, but if you have questions and you go to office hours he will take the time to help you understand. He really is a great guy. Good luck!