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Bingling Wang
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Attendance was required and part of the grade :(
I took this class online asynchronous and that is the best way to take it. I had a friend who took it in person at the same time and it seemed a lot harder for her than it was for me. You needed 15 participation points (you get 1 per section you attend or 2 for attending the professor's zoom reviews) to get 100% for that (which was 5% of your grade). Quizzes on lockdown browser worth 20% of your grade (had two attempts and a one page cheat sheet for each). Plus, the lowest quiz score is dropped. The midterm was 25% of your grade and was about 25 questions. The final was not cumulative (only weeks 6-10) and also worth 25% of your grade and was also 25 questions. You got a double sided cheat sheet on the midterm and final (typed or written). The last 25% was assignments, and the TAs basically said all the answers to these assignments but they are graded on correctness (it was about 5 coding questions and 5 math questions) and the lowest score is dropped. There is no coding on the midterm or final. The lectures were like an hour of videos a week. Overall, it was a fairly easy stats class and pretty easy to get a good grade if you put in a little effort.
I liked Professor Wang's class. If you actually go to the lectures, you will learn what you need to complete the homework and do well on the midterm. I will say, the lecture goes pretty fast, so you don't really have time to ask questions or process during lecture. I missed one lecture (they are not recorded) and the lecture slides are difficult to parse if you are not there in person. There is one in-person midterm and a take home final. The homework was relevant to the lecture material, and similar to the midterm, which was actually easier than the homework. She gives us a short break in the middle of each lecture which is nice too. Professor Wang takes attendance during each lecture, either through roll call or a super short attendance quiz. Overall, I would take Professor Wang again.
This was an asynchronous class, and because of the nature of asynchronous classes, it had a lot of tedious assignments, which aren't so hard yet time-consuming. This class is very doable and is very possible to get an A in this class, as long as you are on top of things. Missing or late assignments will heavily impact the results of this course. That said, both Prof Wang and the TA were kind and helpful, and they both were a big help when I was stuck with coding assignments and preparing for exams.
Grade breakdown:
• Discussion activities (10%)
• Quizzes (total 9) (15%):
• Assignments (total 5, 5th one was optional for us) (24%)
• Exams (Midterm 18%, Final 18%)
• Course project (15%)
• Participation Extra Credit (3%)
I would definitely recommend taking this course if this is one of your required courses or if you are looking for a easy science GE.
This was the easiest asynchronous STATS class I've taken and I'm a history major. There were only 2 projects that were counted towards the final grade, a weekly quiz, and one midterm and final which were both multiple choice. There was a weekly discussion online but attendance was not mandatory only needed if you need extra help.
This was Professor Wang's first time teaching Stats 100A, and I think it showed. Lecture was incredibly dry, and she wasn't the best at explaining how to apply theorems to problems. Lecture was way too heavy on derivation, and not enough on problem solving or thought process or applicable examples. This led to HW being really confusing at times, but overall they weren't too bad. Tests were relatively easy, with a chill midterm and take home final. Overall, I found this class very mind numbing and boring, but it's not that hard to get a good grade. If all you care about is getting an A, I would take this class with Wang.
Lovely professor. Easy class. Decent group project presentation. TAs are very helpful with code. We only had a midterm exam and weekly quizzes, plus a coding and math exercise assignment every few weeks.
THIS IS A REALLY, REALLY EASY CLASS. Seriously, weekly lectures (all posted online) cover all the material needed for the midterm in perfect detail. The assignments in the class are R-based, but the TAs are extremely helpful and essentially give you the code anyway. There is only one midterm, which is really, really easy. Studying the night before/morning of will get you an A. There is no final exam so I stopped attending class after week 6, only a final project. You get to work in groups, and the project is fairly easy and straightforward. Attendance is recorded, but it is a quiz on Canvas you finish after class. So, technically, you don't even need to go to class as long as you log in on time to finish the quiz. Definitely recommend Professor Wang -- she's a good lecturer, cares about her students, and has a really easy course structure too. Overall, I 100% recommend this class as it is an easy A with little/no effort.
I took this class online asynchronous and that is the best way to take it. I had a friend who took it in person at the same time and it seemed a lot harder for her than it was for me. You needed 15 participation points (you get 1 per section you attend or 2 for attending the professor's zoom reviews) to get 100% for that (which was 5% of your grade). Quizzes on lockdown browser worth 20% of your grade (had two attempts and a one page cheat sheet for each). Plus, the lowest quiz score is dropped. The midterm was 25% of your grade and was about 25 questions. The final was not cumulative (only weeks 6-10) and also worth 25% of your grade and was also 25 questions. You got a double sided cheat sheet on the midterm and final (typed or written). The last 25% was assignments, and the TAs basically said all the answers to these assignments but they are graded on correctness (it was about 5 coding questions and 5 math questions) and the lowest score is dropped. There is no coding on the midterm or final. The lectures were like an hour of videos a week. Overall, it was a fairly easy stats class and pretty easy to get a good grade if you put in a little effort.
I liked Professor Wang's class. If you actually go to the lectures, you will learn what you need to complete the homework and do well on the midterm. I will say, the lecture goes pretty fast, so you don't really have time to ask questions or process during lecture. I missed one lecture (they are not recorded) and the lecture slides are difficult to parse if you are not there in person. There is one in-person midterm and a take home final. The homework was relevant to the lecture material, and similar to the midterm, which was actually easier than the homework. She gives us a short break in the middle of each lecture which is nice too. Professor Wang takes attendance during each lecture, either through roll call or a super short attendance quiz. Overall, I would take Professor Wang again.
This was an asynchronous class, and because of the nature of asynchronous classes, it had a lot of tedious assignments, which aren't so hard yet time-consuming. This class is very doable and is very possible to get an A in this class, as long as you are on top of things. Missing or late assignments will heavily impact the results of this course. That said, both Prof Wang and the TA were kind and helpful, and they both were a big help when I was stuck with coding assignments and preparing for exams.
Grade breakdown:
• Discussion activities (10%)
• Quizzes (total 9) (15%):
• Assignments (total 5, 5th one was optional for us) (24%)
• Exams (Midterm 18%, Final 18%)
• Course project (15%)
• Participation Extra Credit (3%)
I would definitely recommend taking this course if this is one of your required courses or if you are looking for a easy science GE.
This was the easiest asynchronous STATS class I've taken and I'm a history major. There were only 2 projects that were counted towards the final grade, a weekly quiz, and one midterm and final which were both multiple choice. There was a weekly discussion online but attendance was not mandatory only needed if you need extra help.
This was Professor Wang's first time teaching Stats 100A, and I think it showed. Lecture was incredibly dry, and she wasn't the best at explaining how to apply theorems to problems. Lecture was way too heavy on derivation, and not enough on problem solving or thought process or applicable examples. This led to HW being really confusing at times, but overall they weren't too bad. Tests were relatively easy, with a chill midterm and take home final. Overall, I found this class very mind numbing and boring, but it's not that hard to get a good grade. If all you care about is getting an A, I would take this class with Wang.
Lovely professor. Easy class. Decent group project presentation. TAs are very helpful with code. We only had a midterm exam and weekly quizzes, plus a coding and math exercise assignment every few weeks.
THIS IS A REALLY, REALLY EASY CLASS. Seriously, weekly lectures (all posted online) cover all the material needed for the midterm in perfect detail. The assignments in the class are R-based, but the TAs are extremely helpful and essentially give you the code anyway. There is only one midterm, which is really, really easy. Studying the night before/morning of will get you an A. There is no final exam so I stopped attending class after week 6, only a final project. You get to work in groups, and the project is fairly easy and straightforward. Attendance is recorded, but it is a quiz on Canvas you finish after class. So, technically, you don't even need to go to class as long as you log in on time to finish the quiz. Definitely recommend Professor Wang -- she's a good lecturer, cares about her students, and has a really easy course structure too. Overall, I 100% recommend this class as it is an easy A with little/no effort.