Maria Cha
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Based on 138 Users
Class is super easy. Midterm/Final are 20%/30%, lowest score becomes the 20%. "Quizzes" are untimed and easy enough, 15%. Labs are perhaps the most unnecessary things at this school. Focuses on using R to do statistics stuff, you can get by by copying exactly what your TA shows you. No coding knowledge is required. Shoutout Luciano Vinas for being the homie, dude made it so easy to do labs and graded quite easy. There's a group project at the end of the year, thing takes maybe 2 hours to grind out by yourself, there is no real need for a group. 15% of your grade.
This class is definitely one of the easiest GEs out there! Professor Cha is also very sweet and accommodating since she continued to record lectures for us if we were not able to attend in-person lectures. The assignments of this class consisted of six weekly quizzes, a lab due every two weeks, and a final project. The quizzes were very easy and could easily be done as long as you pay attention to lectures. Also, do not be scared of coding for the labs since the TAs will basically walk you through the entire thing and give you the answers. The final project basically involved things we had used in labs, so it was not hard at all either. Also, you can go solo or be in a group of up to 7 for the project.
For the exams, just like the quizzes, as long as you pay attention to the lectures and take good notes then you should be good. Definitely take this class if you can!
Take this class with professor Cha if you can!! she is really sweet and amazing and you can tell she actually really cares for her students. Her lectures are really engaging and she goes at a good speed but she can talk kind of quiet so make sure to pay attention. The class consisted of a midterm and final, 6 quizzes, 5 labs, and a final project. The quizzes weren't too bad as long as you paid attention in class and sometimes some of the questions for the quiz were used as clicker questions during lectures. The labs were also pretty easy and don't be scared because of the coding because the TAs basically walk you through it and give you the answers. The midterm and final wasn't too bad because it's mostly similar to the quizzes but do make sure that you know the content because some questions can be tricky. Also, the midterm and final for W22 were online and the professor used respondus lockdown browser with camera on to proctor the test but don't worry because despite this she made it open note so as long as you have good notes then you will be fine. The final project was also not too bad since you use the coding you learned from labs to help you answer a research question you come up with based on the data set she gives you and you just write a report at the end based on your findings. Also, for the project you can work alone or in a group of up to 7 people so if you do it in a group the project becomes super manageable and easy and can be done in a day.
Here is the class breakdown for what goes towards your grade:
Quizzes: 15% (6 total - lowest dropped)
Labs: 20% (5 total - lowest dropped)
Exams: 50% (midterm 20% and final 30% or midterm 30% and final 20% depending on which exams you did better on)
Final Project: 15% (2 project check ups graded on completion 3%, final lab report and R code 12%)
Extra credit: up to 1% (iclicker questions for participation give you 0.1% for each lecture. answer iclicker questions in 10 lectures to get full 1% extra credit) (yes you will have to pay for iclicker to get these points)
Also on a final note, this class does have an optional textbook (which can be found online for free) but it is definitely not needed or required since you will only be tested on things from lecture.
Overall, TAKE THIS CLASS!!! you won't regret it!
I know it was so long ago, but there was too much coding and a thick international accent made it hard to understand the material, which was taught at a shallow level. Do not recommend to fellow Bruins
Professor Cha is extremely friendly, helpful, and genuinely cares for her students. The class itself was not difficult at all -- I did not take AP Stats in high school yet the class was still fine for me. I was initially worried about the R component of the course, but the TA walks you through the lab assignments step-by-step during discussion. Would def recommend
This class was a great introduction to Statistics and was one of the first classes I took at UCLA. I did not take Stats 10 in high school, I found this class to be easier than AP Calculus in high school. Professor Cha has very good slides. I found it hard to pay attention in lecture because it was in the morning for me, but Professor Cha always stayed to answer any questions I had. The first half of the class was pretty easy, but the class started to get challenging around week 6. I scored much better on the midterm than the final -- don't let your guard down. The exams were around 30-35 questions, so you don't want to get a lot wrong. Make sure to stay on top of your work and you will be fine! The lab sessions in r were simple, and the TA walks you through everything, so if you have a hard time with coding, if you pay attention in discussion you will be good.
agree w the other review from june 15 for the most part! as someone who didn't feel very confident in my performance in 101a with xu, cha's 101b was very straightforward and digestible. i found both exams to be pretty fair (one double-sided cheatsheet per exam with a complete list of everything to study posted beforehand), and it was nice to have a week 5 and non-cumulative week 10 exam to space things out.
i had daniel chen for my TA and he was really helpful in working through all the homework with us step by step, but i imagine the workload would be significantly heavier with a TA who doesn't explicitly show you the R script for the textbook problems.
the group project was also very fair (running an experiment on an online platform, performing analysis on your data in R, writing a final analysis report on it) but we were advised mainly to work on it after the midterm. if you have a busier second half of the quarter already, the work can pile up so i recommend at least looking at it beforehand and familiarizing yourself with the process and the deliverables, but i think the grading wasn't too harsh.
tldr; would 100% recommend taking this class! well organized and easy to follow :)
Class is super easy. Midterm/Final are 20%/30%, lowest score becomes the 20%. "Quizzes" are untimed and easy enough, 15%. Labs are perhaps the most unnecessary things at this school. Focuses on using R to do statistics stuff, you can get by by copying exactly what your TA shows you. No coding knowledge is required. Shoutout Luciano Vinas for being the homie, dude made it so easy to do labs and graded quite easy. There's a group project at the end of the year, thing takes maybe 2 hours to grind out by yourself, there is no real need for a group. 15% of your grade.
This class is definitely one of the easiest GEs out there! Professor Cha is also very sweet and accommodating since she continued to record lectures for us if we were not able to attend in-person lectures. The assignments of this class consisted of six weekly quizzes, a lab due every two weeks, and a final project. The quizzes were very easy and could easily be done as long as you pay attention to lectures. Also, do not be scared of coding for the labs since the TAs will basically walk you through the entire thing and give you the answers. The final project basically involved things we had used in labs, so it was not hard at all either. Also, you can go solo or be in a group of up to 7 for the project.
For the exams, just like the quizzes, as long as you pay attention to the lectures and take good notes then you should be good. Definitely take this class if you can!
Take this class with professor Cha if you can!! she is really sweet and amazing and you can tell she actually really cares for her students. Her lectures are really engaging and she goes at a good speed but she can talk kind of quiet so make sure to pay attention. The class consisted of a midterm and final, 6 quizzes, 5 labs, and a final project. The quizzes weren't too bad as long as you paid attention in class and sometimes some of the questions for the quiz were used as clicker questions during lectures. The labs were also pretty easy and don't be scared because of the coding because the TAs basically walk you through it and give you the answers. The midterm and final wasn't too bad because it's mostly similar to the quizzes but do make sure that you know the content because some questions can be tricky. Also, the midterm and final for W22 were online and the professor used respondus lockdown browser with camera on to proctor the test but don't worry because despite this she made it open note so as long as you have good notes then you will be fine. The final project was also not too bad since you use the coding you learned from labs to help you answer a research question you come up with based on the data set she gives you and you just write a report at the end based on your findings. Also, for the project you can work alone or in a group of up to 7 people so if you do it in a group the project becomes super manageable and easy and can be done in a day.
Here is the class breakdown for what goes towards your grade:
Quizzes: 15% (6 total - lowest dropped)
Labs: 20% (5 total - lowest dropped)
Exams: 50% (midterm 20% and final 30% or midterm 30% and final 20% depending on which exams you did better on)
Final Project: 15% (2 project check ups graded on completion 3%, final lab report and R code 12%)
Extra credit: up to 1% (iclicker questions for participation give you 0.1% for each lecture. answer iclicker questions in 10 lectures to get full 1% extra credit) (yes you will have to pay for iclicker to get these points)
Also on a final note, this class does have an optional textbook (which can be found online for free) but it is definitely not needed or required since you will only be tested on things from lecture.
Overall, TAKE THIS CLASS!!! you won't regret it!
I know it was so long ago, but there was too much coding and a thick international accent made it hard to understand the material, which was taught at a shallow level. Do not recommend to fellow Bruins
Professor Cha is extremely friendly, helpful, and genuinely cares for her students. The class itself was not difficult at all -- I did not take AP Stats in high school yet the class was still fine for me. I was initially worried about the R component of the course, but the TA walks you through the lab assignments step-by-step during discussion. Would def recommend
This class was a great introduction to Statistics and was one of the first classes I took at UCLA. I did not take Stats 10 in high school, I found this class to be easier than AP Calculus in high school. Professor Cha has very good slides. I found it hard to pay attention in lecture because it was in the morning for me, but Professor Cha always stayed to answer any questions I had. The first half of the class was pretty easy, but the class started to get challenging around week 6. I scored much better on the midterm than the final -- don't let your guard down. The exams were around 30-35 questions, so you don't want to get a lot wrong. Make sure to stay on top of your work and you will be fine! The lab sessions in r were simple, and the TA walks you through everything, so if you have a hard time with coding, if you pay attention in discussion you will be good.
agree w the other review from june 15 for the most part! as someone who didn't feel very confident in my performance in 101a with xu, cha's 101b was very straightforward and digestible. i found both exams to be pretty fair (one double-sided cheatsheet per exam with a complete list of everything to study posted beforehand), and it was nice to have a week 5 and non-cumulative week 10 exam to space things out.
i had daniel chen for my TA and he was really helpful in working through all the homework with us step by step, but i imagine the workload would be significantly heavier with a TA who doesn't explicitly show you the R script for the textbook problems.
the group project was also very fair (running an experiment on an online platform, performing analysis on your data in R, writing a final analysis report on it) but we were advised mainly to work on it after the midterm. if you have a busier second half of the quarter already, the work can pile up so i recommend at least looking at it beforehand and familiarizing yourself with the process and the deliverables, but i think the grading wasn't too harsh.
tldr; would 100% recommend taking this class! well organized and easy to follow :)