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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.
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.
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.
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.
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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Stats 10 was pretty much what I expected. Professor Cha is SUPER sweet and clearly cares about the learning of her students and making sure people understand concepts before moving on, which I really appreciated. She is very conscious of monitoring the chat and making sure to answer questions as they come in and engage students through examples and poll questions as much as possible. You do have to go to the lectures which I was not crazy about, but the way you get participation is through poll questions during lecture. There were a few days where she posted interactive lectures on CCLE instead of live, which I thought was a nice break in the quarter. In terms of tests, if you pay attention, go over her slides (especially the example problems) and do her practice tests, you will be totally fine. I cannot emphasize enough how fine you should be - and she gave extra credit after the final that was worth two entire test questions (and there were only 33 total so that was pretty amazing). Before taking this class a bunch of people warned me that it is deceptively easy until the midterm and then ramps up super fast... I think you can get away with half-assing this class before the midterm 100%, but after the midterm just be aware it does get a little more conceptually difficult and it's worth it to pay more attention and engage a little more otherwise you might have to cram a little more for the final. Section is super simple, don't have to go in person, TAs guide you through the labs really well and make R seem super simple. Very easy to get a good section grade as long as you watch the videos at some point and put some effort in. Overall, I had to take this as a requirement and I had a really good experience.
I don't usually write reviews, but professor Cha is one of the best statistics Professor, this class convinced me to major in Stats. TAKE THIS CLASS WITH HER.
Professor Cha gives really engaging lectures and her grading scheme is excellent! Most of work is from the write-ups on CCLE and the labs, but other than that, the class is not hard at all. Just watch the recorded lectures, go to labs, and do your homework and you will do well in the class.
This was my first class at UCLA. my friends and I loved Professor Cha!! She is kind and her lectures are always so soothing :))) Homework, quizzes, and exams are very easy if you took IB math/AP stats. Definitely recommend taking this class with her please do not hesitate.
Overall, this class is a wonderful class to take as a GE if you are into statistics or math in general. The material covered in this class is very closely related to any stats material covered in high school, an overall great introduction to stats. The professors presentations were very helpful as they covered all of the necessary material. Also, the tests were fairly straightforward, relating homework material with class material. I would definitely recommend this class to another student as it was an easy class for me over the summer.
This was the first class I took at UCLA and it was a great one to start with! Even though we only had one live session, I can tell that Prof Cha is nice.
The grading is fairy lenient:
20% lab (3 labs, basically follow along with the TA as they teach you how to code with R)
20% check-ups (8 check-ups, and they're CCLE questionnaires taken for a participation grade)
20% quizzes (4 quizzes, lowest score is dropped)
20% Exam 1
20% Exam 2
There are some textbooks recommended for the class, but I purchased neither of them and I was fine. But, if you feel you need extra practice, you should probably purchase.
Exams slightly mirror the practice exams (which Prof Cha provides). The concepts are the same on each, but the questions aren't necessarily the same type. You can succeed on the exams by taking the practice exams then going back and correcting your mistakes just to make sure you have a solid understanding of everything.
The class overall wasn't too difficult, but that's probably because a lot of the concepts had already been introduced to me in AP Bio and AP Psych. I probably put in around 5 hours of work for each "class" day (more like recorded lecture day lol. It breaks down into 2 hrs of lecture + 1 hr of TA + 2 hrs of condensing the slides into my own notes). I think this time commitment is reasonable for a time-crunched summer session.
Overall, just put in the work and you will get the results!
Cha is a good lecturer. The material in my opinion is confusing but if you're good with formulas this class will be fine. If you're not you might struggle because her tests are pretty hard. She is helpful in office hours and she gives you a practice exam and cheat sheet during the exam.
Great class, was kind of a shock as to how easy it was because all of my other classes have required so much studying and work on a daily basis and this one just required some revision before exams and a R studio lab every other week. Definitely lightest, easiest course I have taken so far. The exams were pretty decent plus you got a cheat sheet for them, still recommend going through all the slides and practice problems on slides though. I did not use the textbook once but did study a lot through khan academy stats just for practice. She gave participation points with clickers and was a great lecturer. The labs would have been hard to complete on your own I think but luckily I had a great TA (Sun, Y.) who literally did it step by step for us haha, so it was very simple.
Loved Professor Cha. She's really kind and truly cares about student learning. In addition, she had a really calm presence in class that kind of made this class almost feel like therapy after a busy day. Attendance is required (iclickers) but honestly it's better to go anyway because its much easier to learn all the material in class with an actual lecturer as opposed to spending maybe 2 hours self teaching the concepts the night before the exam. Anyway, the class is really easy. There are weekly labs but the TAs pretty much provide the code so all you have to do is attend discussion. The weekly quizzes are really easy as well and are good practice for the midterms. Her exams are nice, they're all multiple choice and don't necessarily have any curveballs. Overall, Stats 10 is a super easy class. If you've taken AP Stats then thats great; if you haven't it's still super super easy. You might have to pay a little more attention during the latter half of the class but the material is still really intuitive. Anyway, if you want to optimize this class as an easy GE, I recommend paying attention in lecture and going to discussion so you won't have to spend any time at all studying outside of class.
Stats 10 was pretty much what I expected. Professor Cha is SUPER sweet and clearly cares about the learning of her students and making sure people understand concepts before moving on, which I really appreciated. She is very conscious of monitoring the chat and making sure to answer questions as they come in and engage students through examples and poll questions as much as possible. You do have to go to the lectures which I was not crazy about, but the way you get participation is through poll questions during lecture. There were a few days where she posted interactive lectures on CCLE instead of live, which I thought was a nice break in the quarter. In terms of tests, if you pay attention, go over her slides (especially the example problems) and do her practice tests, you will be totally fine. I cannot emphasize enough how fine you should be - and she gave extra credit after the final that was worth two entire test questions (and there were only 33 total so that was pretty amazing). Before taking this class a bunch of people warned me that it is deceptively easy until the midterm and then ramps up super fast... I think you can get away with half-assing this class before the midterm 100%, but after the midterm just be aware it does get a little more conceptually difficult and it's worth it to pay more attention and engage a little more otherwise you might have to cram a little more for the final. Section is super simple, don't have to go in person, TAs guide you through the labs really well and make R seem super simple. Very easy to get a good section grade as long as you watch the videos at some point and put some effort in. Overall, I had to take this as a requirement and I had a really good experience.
I don't usually write reviews, but professor Cha is one of the best statistics Professor, this class convinced me to major in Stats. TAKE THIS CLASS WITH HER.
Professor Cha gives really engaging lectures and her grading scheme is excellent! Most of work is from the write-ups on CCLE and the labs, but other than that, the class is not hard at all. Just watch the recorded lectures, go to labs, and do your homework and you will do well in the class.
This was my first class at UCLA. my friends and I loved Professor Cha!! She is kind and her lectures are always so soothing :))) Homework, quizzes, and exams are very easy if you took IB math/AP stats. Definitely recommend taking this class with her please do not hesitate.
Overall, this class is a wonderful class to take as a GE if you are into statistics or math in general. The material covered in this class is very closely related to any stats material covered in high school, an overall great introduction to stats. The professors presentations were very helpful as they covered all of the necessary material. Also, the tests were fairly straightforward, relating homework material with class material. I would definitely recommend this class to another student as it was an easy class for me over the summer.
This was the first class I took at UCLA and it was a great one to start with! Even though we only had one live session, I can tell that Prof Cha is nice.
The grading is fairy lenient:
20% lab (3 labs, basically follow along with the TA as they teach you how to code with R)
20% check-ups (8 check-ups, and they're CCLE questionnaires taken for a participation grade)
20% quizzes (4 quizzes, lowest score is dropped)
20% Exam 1
20% Exam 2
There are some textbooks recommended for the class, but I purchased neither of them and I was fine. But, if you feel you need extra practice, you should probably purchase.
Exams slightly mirror the practice exams (which Prof Cha provides). The concepts are the same on each, but the questions aren't necessarily the same type. You can succeed on the exams by taking the practice exams then going back and correcting your mistakes just to make sure you have a solid understanding of everything.
The class overall wasn't too difficult, but that's probably because a lot of the concepts had already been introduced to me in AP Bio and AP Psych. I probably put in around 5 hours of work for each "class" day (more like recorded lecture day lol. It breaks down into 2 hrs of lecture + 1 hr of TA + 2 hrs of condensing the slides into my own notes). I think this time commitment is reasonable for a time-crunched summer session.
Overall, just put in the work and you will get the results!
Cha is a good lecturer. The material in my opinion is confusing but if you're good with formulas this class will be fine. If you're not you might struggle because her tests are pretty hard. She is helpful in office hours and she gives you a practice exam and cheat sheet during the exam.
Great class, was kind of a shock as to how easy it was because all of my other classes have required so much studying and work on a daily basis and this one just required some revision before exams and a R studio lab every other week. Definitely lightest, easiest course I have taken so far. The exams were pretty decent plus you got a cheat sheet for them, still recommend going through all the slides and practice problems on slides though. I did not use the textbook once but did study a lot through khan academy stats just for practice. She gave participation points with clickers and was a great lecturer. The labs would have been hard to complete on your own I think but luckily I had a great TA (Sun, Y.) who literally did it step by step for us haha, so it was very simple.
Loved Professor Cha. She's really kind and truly cares about student learning. In addition, she had a really calm presence in class that kind of made this class almost feel like therapy after a busy day. Attendance is required (iclickers) but honestly it's better to go anyway because its much easier to learn all the material in class with an actual lecturer as opposed to spending maybe 2 hours self teaching the concepts the night before the exam. Anyway, the class is really easy. There are weekly labs but the TAs pretty much provide the code so all you have to do is attend discussion. The weekly quizzes are really easy as well and are good practice for the midterms. Her exams are nice, they're all multiple choice and don't necessarily have any curveballs. Overall, Stats 10 is a super easy class. If you've taken AP Stats then thats great; if you haven't it's still super super easy. You might have to pay a little more attention during the latter half of the class but the material is still really intuitive. Anyway, if you want to optimize this class as an easy GE, I recommend paying attention in lecture and going to discussion so you won't have to spend any time at all studying outside of class.
Based on 104 Users
TOP TAGS
- Uses Slides (62)