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- Bingling Wang
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Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
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This was the easiest math class I have ever taken! I had no statistics experience, but the professor is clear and understandable. She makes the material straightforward and easy to digest. The workload is minimal, with only a few homework assignments and participation activities. The most difficult part of her class are the labs, but the TAs guide you through most of the problems, so it's a breeze! She is an amazing professor!
Please take this course with Prof Wang! I took this course Fall 2021 when it was offered online-recorded, and she was an extremely kind and accommodating professor. She would push assignments back whenever we needed to, built in review sessions into our lecture time, and added an extra 1% of extra credit on top of the 2% mentioned in the syllabus (1% for completing a survey of the course, 1% turned into 2% for Campuswire). I had Yijia as a TA and she was very clear when explaining the labs, and since she recorded them I was able to start them the day they were due without issue. The exams were a bit tough due to time constraints but the quizzes made up for them, and one of each of the following category is dropped: Quizzes, Labs, and Homework Assignments. All in all, I would suggest this as both a GE and to take this course with Prof Wang as a pre-req.
Your grade is broken down into several components: lecture attendance (10%), online quizzes (15%), lab (15%), homework (15%), exams (midterm 20%, final 25%), and extra credit opportunities (2%). This class was half online, half in-person with labs being in-person and lectures being online. However, TAs recorded labs, so this class became entirely online for me.
I will not go into detail regarding lecture attendance/ online quizzes since those will probably be discontinued after this quarter. As for the labs, I am sure it will be the same way, but the TAs will quite literally give you the exact answers during your discussion section. We are required to code in R for lab, but I walked in with no knowledge and did perfectly fine only because the TA feeds us the answers and we did not need to learn/ get tested on coding material. The homework was also quite easy to get through, but you should always double-check it before turning it in, especially since she does give you ample time to complete it. They grade homework by selecting random sets of problems, so I would suggest that you try on every single problem rather than gamble on which one they would check! If you do not do well on one, it will be dropped! A lab that you did not do well on will be dropped as well.
Admittedly, I found Bingling a little hard to follow along to but if you ask her questions during the lecture, she will actively stop and ensure that you are following along well with the material (even just a single person). This class would definitely be easier if you came in with prior knowledge about statistics (I heard AP stats was much harder than this class). I personally learned material from the first half of this class and found the midterm quite easy. However, I did struggle a bit with the material after the midterm although I still ended up with an A. I realized that my class struggled with the course material and I was a little surprised since I did not find the material too difficult, but if you ever do find it difficult, make sure to seek help! Bingling is very helpful and so are the TAs!
I highly recommend taking this class with this professor. The grade distribution with 20% for participation(which is simply answering poll questions or zoom or if you miss the zoom class answering a few questions on ccle), 20% lab(basic coding that the ta basically gives to you, lowest grade is dropped), 20% weekly quizzes (these are better simple and the lowest grade is dropped at the end of the quarter), 20% for midterm (pretty simple, even if you do bad on it you can still get an A/ A-) , and 20% for the final (which is not cumulative but slightly more difficult than the midterm, becuase they work is harder to understand). Also, the show offers 3-4% extra credit if you do the end-of-the-quarter questionnaire and are active on campuswire. At the end of the quarter, there was a great curve that no expected.
The labs were not explained well in the beginning but becomes simpler as time goes by. The concepts felt rushed through each week and kind of difficult to keep up with-many found the midterm hard, but a bad grade then does not decide the final grade! Recommend tutoring if not math-inclined.
This class is a very easy A and I absolutely love the hands-on experience you get with R labs. However, if there is a better professor to choose from, I would definitely go the alternative route. While Wang is super sweet, she also just reads straight off the slides. I love stats, but I found her lectures to be painfully dry and boring. They can also get extremely confusing at times and combined with the lack of engagement, I found myself really dragging myself to the finish line by the end of the course.
Overall, this class will not make you cry, it just might make you super bored. The labs are AWESOME, however, if you're interested in coding or a future in data science/stats. I had no prior coding experience, but if you listen to the TAs and watch the discussion lectures, it's super manageable.
Professor Wang is so sweet and accommodating. She really cares about all of her students' well-beings, and was always lenient with deadlines in response to crazy real-world current events. I loved this class! I was disappointed at first that I did not get Professor Cha as all of her reviews are raves, but I ended up so grateful that I got Professor Wang.
Lecture attendance is not mandatory, and neither is section attendance. All you have to do is take a short participation quiz that you can take as many times as you want until you get a 100. The midterm and final are very straightforward and similar to the weekly quizzes. The TAs do a good job of explaining the labs, and they are a lot easier than I expected them to be. I HATE coding, but it was very manageable! I highly recommend this class.
Good class, good teacher. Really helped to know R in this class, made it so I wouldn't have to go to section ever. All he would do is screen share videos of himself explaining the R coding assignments anyways. Like... wtf?
As a first year student with no stats experience, I found this class easy and interesting. The zoom meetings are optional because she uploads them on CCLE. To receive participation points, you must take a small quiz that has unlimited attempts. The chapter quiz are a little difficult but if you review the slides, you're okay. The Labs were the only thing I had some trouble with, but attending TA meetings allowed me to understand the material. If you are looking to enroll in this course, I really recommend it with Professor Wang. Good Luck!
A lot of majors, like mine, need Stats 10 as a pre-requisite. I went into the class with no prior experience in stats or coding. The material was a little fast-paced and I did not know that I would need to code for labs. Overall, the class was not too hard. The midterm and final were open-note but took a long time because it was all calculations. Professor Wang was really informative and detailed in her slides but I often had to go back and re-watch lectures or look at the slides to understand the concepts because she went through them too quickly. The weekly quizzes were not hard and were a good grade-booster. Yhis class was a lot easier this quarter than it would have been in person.
This was the easiest math class I have ever taken! I had no statistics experience, but the professor is clear and understandable. She makes the material straightforward and easy to digest. The workload is minimal, with only a few homework assignments and participation activities. The most difficult part of her class are the labs, but the TAs guide you through most of the problems, so it's a breeze! She is an amazing professor!
Please take this course with Prof Wang! I took this course Fall 2021 when it was offered online-recorded, and she was an extremely kind and accommodating professor. She would push assignments back whenever we needed to, built in review sessions into our lecture time, and added an extra 1% of extra credit on top of the 2% mentioned in the syllabus (1% for completing a survey of the course, 1% turned into 2% for Campuswire). I had Yijia as a TA and she was very clear when explaining the labs, and since she recorded them I was able to start them the day they were due without issue. The exams were a bit tough due to time constraints but the quizzes made up for them, and one of each of the following category is dropped: Quizzes, Labs, and Homework Assignments. All in all, I would suggest this as both a GE and to take this course with Prof Wang as a pre-req.
Your grade is broken down into several components: lecture attendance (10%), online quizzes (15%), lab (15%), homework (15%), exams (midterm 20%, final 25%), and extra credit opportunities (2%). This class was half online, half in-person with labs being in-person and lectures being online. However, TAs recorded labs, so this class became entirely online for me.
I will not go into detail regarding lecture attendance/ online quizzes since those will probably be discontinued after this quarter. As for the labs, I am sure it will be the same way, but the TAs will quite literally give you the exact answers during your discussion section. We are required to code in R for lab, but I walked in with no knowledge and did perfectly fine only because the TA feeds us the answers and we did not need to learn/ get tested on coding material. The homework was also quite easy to get through, but you should always double-check it before turning it in, especially since she does give you ample time to complete it. They grade homework by selecting random sets of problems, so I would suggest that you try on every single problem rather than gamble on which one they would check! If you do not do well on one, it will be dropped! A lab that you did not do well on will be dropped as well.
Admittedly, I found Bingling a little hard to follow along to but if you ask her questions during the lecture, she will actively stop and ensure that you are following along well with the material (even just a single person). This class would definitely be easier if you came in with prior knowledge about statistics (I heard AP stats was much harder than this class). I personally learned material from the first half of this class and found the midterm quite easy. However, I did struggle a bit with the material after the midterm although I still ended up with an A. I realized that my class struggled with the course material and I was a little surprised since I did not find the material too difficult, but if you ever do find it difficult, make sure to seek help! Bingling is very helpful and so are the TAs!
I highly recommend taking this class with this professor. The grade distribution with 20% for participation(which is simply answering poll questions or zoom or if you miss the zoom class answering a few questions on ccle), 20% lab(basic coding that the ta basically gives to you, lowest grade is dropped), 20% weekly quizzes (these are better simple and the lowest grade is dropped at the end of the quarter), 20% for midterm (pretty simple, even if you do bad on it you can still get an A/ A-) , and 20% for the final (which is not cumulative but slightly more difficult than the midterm, becuase they work is harder to understand). Also, the show offers 3-4% extra credit if you do the end-of-the-quarter questionnaire and are active on campuswire. At the end of the quarter, there was a great curve that no expected.
The labs were not explained well in the beginning but becomes simpler as time goes by. The concepts felt rushed through each week and kind of difficult to keep up with-many found the midterm hard, but a bad grade then does not decide the final grade! Recommend tutoring if not math-inclined.
This class is a very easy A and I absolutely love the hands-on experience you get with R labs. However, if there is a better professor to choose from, I would definitely go the alternative route. While Wang is super sweet, she also just reads straight off the slides. I love stats, but I found her lectures to be painfully dry and boring. They can also get extremely confusing at times and combined with the lack of engagement, I found myself really dragging myself to the finish line by the end of the course.
Overall, this class will not make you cry, it just might make you super bored. The labs are AWESOME, however, if you're interested in coding or a future in data science/stats. I had no prior coding experience, but if you listen to the TAs and watch the discussion lectures, it's super manageable.
Professor Wang is so sweet and accommodating. She really cares about all of her students' well-beings, and was always lenient with deadlines in response to crazy real-world current events. I loved this class! I was disappointed at first that I did not get Professor Cha as all of her reviews are raves, but I ended up so grateful that I got Professor Wang.
Lecture attendance is not mandatory, and neither is section attendance. All you have to do is take a short participation quiz that you can take as many times as you want until you get a 100. The midterm and final are very straightforward and similar to the weekly quizzes. The TAs do a good job of explaining the labs, and they are a lot easier than I expected them to be. I HATE coding, but it was very manageable! I highly recommend this class.
Good class, good teacher. Really helped to know R in this class, made it so I wouldn't have to go to section ever. All he would do is screen share videos of himself explaining the R coding assignments anyways. Like... wtf?
As a first year student with no stats experience, I found this class easy and interesting. The zoom meetings are optional because she uploads them on CCLE. To receive participation points, you must take a small quiz that has unlimited attempts. The chapter quiz are a little difficult but if you review the slides, you're okay. The Labs were the only thing I had some trouble with, but attending TA meetings allowed me to understand the material. If you are looking to enroll in this course, I really recommend it with Professor Wang. Good Luck!
A lot of majors, like mine, need Stats 10 as a pre-requisite. I went into the class with no prior experience in stats or coding. The material was a little fast-paced and I did not know that I would need to code for labs. Overall, the class was not too hard. The midterm and final were open-note but took a long time because it was all calculations. Professor Wang was really informative and detailed in her slides but I often had to go back and re-watch lectures or look at the slides to understand the concepts because she went through them too quickly. The weekly quizzes were not hard and were a good grade-booster. Yhis class was a lot easier this quarter than it would have been in person.
Based on 26 Users
TOP TAGS
- Uses Slides (20)
- Would Take Again (16)
- Appropriately Priced Materials (10)