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- Miles Satori Chen
- STATS 102C
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Based on 17 Users
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- Is Podcasted
- Uses Slides
- Appropriately Priced Materials
- Would Take Again
- Tolerates Tardiness
- Engaging Lectures
- Snazzy Dresser
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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I've had Professor Chen for four classes now, and as much as he says it's good to have different instructors, I wouldn't have it any other way. While no exam is dropped for his classes, I still feel they are weighted at a comfortable amount so that if you mess up one, you always have a redemption shot (I started out 102B with a D- midterm and still got an A). He makes his expectations crystal clear for what you should know how to do on exams, and he always checks in on us before his organized, comfortably-paced lectures with a grin. Gonna miss him for my future classes here!
It is very interesting to learn the Monte Carlo methods with Professor Chen. Not only will he talk about the basic concepts, but he will also show us interesting practical cases and ask us to run the code so that we can truly understand them. His class is very clear, even if I have not learned R language and STATS 100B, I can still catch up with the class. And I did get a lot of help from office hours. He patiently answered my questions and wrote a note for me to help me understand better, even if the specified time for office hour was over. I feel that Professor Chen strives to make every student understand what he wants to teach and is very happy to solve problems for you.
Since I do not know R language very well, it took me a long time to do my homework at first. But our classmates helped me a lot on Piazza. Sometimes professor will also answer students' questions.
The difficulty of the course depends on the individual, but as long as you listen carefully and figure out the homework, you will get the results you deserve in the final exam. I really enjoyed the class and learned a lot from 102C.
First of all, I want to say that Miles is the best statistics professor I've had in my entire college life here at UCLA. You've probably heard of him through rumors and I can tell you that those rumors are true. He's really just the nicest and most passionate lecturer in the department and knows how to boil down class content to only what's essential.
I think the best think about Miles is really the fact that he teaches you true life lessons in class. That he stresses that it's not about your grade, but about the experience and the journey you take to get there. He always tells us not to be discouraged and even told us his life story once - about how he overcame failure and learned a lot more about life through that process.
Miles is definitely very fair when he comes to grading though. His tests are very fair and are very manageable as long as you pay attention at every lecture and put effort into understanding the material. Miles really encourages participation on Piazza and I do too because I really think it helps you to understand the material better both when you ask questions and when you answer the questions that other people may have.
What Miles did for me this quarter was really touching - he ordered a book and had it signed by the author with my name on it and gave it to me as a gift for the effort I put in on Piazza - and I can never thank him enough. I think he's really such a great person and you really need to use your first pass to get into any of his classes, so get in as soon as you have a chance!
An incredible teacher that you should take at least once in your 102 series classes. He's one of the many professors that make the Statistics department as impressive as it is and genuinely cares about his students. Tests are difficult, but open note (during Covid) so don't hesitate too much, but be sure to go over the homework as some questions are based on your work there. You'll also learn the material which is a great bonus. Overall, the department is filled with top tier professors, but Professor Chen is one of the best.
Wow. I had heard a lot of good things about Professor Chen, so I decided to take his class this quarter and it lived up to my expectations. He is one of those professors who isn't just intelligent but actually KNOWS how to teach which is a rarity. It was such a refreshing experience to have an engaging, kind, clear professor in the stats department - it pains me to say that I've had more bad experiences than good w.r.t profs.
Keep in mind, I say this all as someone who performed average in the class and might end up with a B-, C+ or something. His homeworks align with his teaching and they were a fair challenge but definitely feasible in the end. His exams were not extraordinarily difficult, and he was really fair to give us a complete list of what to expect on the exam basically. Toward the end of the quarter he announced more lenient grading to the class which was so nice to hear as a student it greatly effected. His lectures are worthwhile to attend and I like that we have an watching quiz because it's the only thing helping me keep up with the class haha, and it makes me feel like it's more worth it to watch.
Besides that, he is just a sweet and kind soul and I wish him and his family well.
Professor Chen does an excellent job of explaining everything in the course and is very approachable. The homework is well-designed and accurately tests your knowledge of the concepts that are covered in class. There's no surprises on exams, either; as long as you can complete and understand the homework, the exams will be fairly easy (and grading is usually generous as well).
The course material itself is quite interesting, especially the part on Bayesian statistics. The class does tend to be broad rather than deep, so if there's an idea or model that's particularly interesting to you, you'll have to explore it on your own time.
In terms of participation, Professor Chen will occasionally do in-person roll calls, and he will take note if you've "signed in" but aren't actually there. The very small impact that missing a class has on your grade is really not worth it.
The materials covered in this class are very interesting. Basically, it covers many applications of Monte Carlo Method in real life ranging from deciphering to document classification. I would say my decision to continue pursuing a graduate degree in Stats is partly due to this course. As usual, Professor Chen is very passionate and helpful. His lectures are super clear and are always posted on Youtube after classes. The homework assignments are very instructional and weigh more than the exams in the grading scheme. As long as you pay attention in class and do well in all the homework assignments, you will get good grades. Needless to say, Miles is always the best.
Sure Miles comes off as great and cares about his students well being but the moment you step into office hours, it seems like he is criticizing or judging your questions. If you somehow get on his bad side, then you're stuck there. He's pretty petty and tends to take things personally. Make sure you get on his good side or he'll screw you over.
Wouldn't take a class with him, I've learned NOTHING in the 102 series.
After taking STATS 102A and 102B with Professor Chen, I completed the 102 series with him. This class aligned closer to 102B than 102A, as the focus was on the algorithms and their implementation rather than having to code extensively (coding was still required). With the midterms, time was a small concern (especially for the second one), but Professor Chen allowed students to have notes with them, making things more manageable. The material of this course does have real-life applications, which was nice because we saw examples of how some of the algorithms used might be implemented outside of the classroom. Ultimately, Professor Chen explains the material well and engages the students, which is why I would recommend taking 102C (and the entire 102 series) with him, if possible.
The exam is really long and hard, he mislead students for some course logistics. Very complicated to succeed in this class. He apparently has favoritism and is willing to answer certain students' answers over others. I took stats 15 with this professor. Not recommended. ***k *** er
I've had Professor Chen for four classes now, and as much as he says it's good to have different instructors, I wouldn't have it any other way. While no exam is dropped for his classes, I still feel they are weighted at a comfortable amount so that if you mess up one, you always have a redemption shot (I started out 102B with a D- midterm and still got an A). He makes his expectations crystal clear for what you should know how to do on exams, and he always checks in on us before his organized, comfortably-paced lectures with a grin. Gonna miss him for my future classes here!
It is very interesting to learn the Monte Carlo methods with Professor Chen. Not only will he talk about the basic concepts, but he will also show us interesting practical cases and ask us to run the code so that we can truly understand them. His class is very clear, even if I have not learned R language and STATS 100B, I can still catch up with the class. And I did get a lot of help from office hours. He patiently answered my questions and wrote a note for me to help me understand better, even if the specified time for office hour was over. I feel that Professor Chen strives to make every student understand what he wants to teach and is very happy to solve problems for you.
Since I do not know R language very well, it took me a long time to do my homework at first. But our classmates helped me a lot on Piazza. Sometimes professor will also answer students' questions.
The difficulty of the course depends on the individual, but as long as you listen carefully and figure out the homework, you will get the results you deserve in the final exam. I really enjoyed the class and learned a lot from 102C.
First of all, I want to say that Miles is the best statistics professor I've had in my entire college life here at UCLA. You've probably heard of him through rumors and I can tell you that those rumors are true. He's really just the nicest and most passionate lecturer in the department and knows how to boil down class content to only what's essential.
I think the best think about Miles is really the fact that he teaches you true life lessons in class. That he stresses that it's not about your grade, but about the experience and the journey you take to get there. He always tells us not to be discouraged and even told us his life story once - about how he overcame failure and learned a lot more about life through that process.
Miles is definitely very fair when he comes to grading though. His tests are very fair and are very manageable as long as you pay attention at every lecture and put effort into understanding the material. Miles really encourages participation on Piazza and I do too because I really think it helps you to understand the material better both when you ask questions and when you answer the questions that other people may have.
What Miles did for me this quarter was really touching - he ordered a book and had it signed by the author with my name on it and gave it to me as a gift for the effort I put in on Piazza - and I can never thank him enough. I think he's really such a great person and you really need to use your first pass to get into any of his classes, so get in as soon as you have a chance!
An incredible teacher that you should take at least once in your 102 series classes. He's one of the many professors that make the Statistics department as impressive as it is and genuinely cares about his students. Tests are difficult, but open note (during Covid) so don't hesitate too much, but be sure to go over the homework as some questions are based on your work there. You'll also learn the material which is a great bonus. Overall, the department is filled with top tier professors, but Professor Chen is one of the best.
Wow. I had heard a lot of good things about Professor Chen, so I decided to take his class this quarter and it lived up to my expectations. He is one of those professors who isn't just intelligent but actually KNOWS how to teach which is a rarity. It was such a refreshing experience to have an engaging, kind, clear professor in the stats department - it pains me to say that I've had more bad experiences than good w.r.t profs.
Keep in mind, I say this all as someone who performed average in the class and might end up with a B-, C+ or something. His homeworks align with his teaching and they were a fair challenge but definitely feasible in the end. His exams were not extraordinarily difficult, and he was really fair to give us a complete list of what to expect on the exam basically. Toward the end of the quarter he announced more lenient grading to the class which was so nice to hear as a student it greatly effected. His lectures are worthwhile to attend and I like that we have an watching quiz because it's the only thing helping me keep up with the class haha, and it makes me feel like it's more worth it to watch.
Besides that, he is just a sweet and kind soul and I wish him and his family well.
Professor Chen does an excellent job of explaining everything in the course and is very approachable. The homework is well-designed and accurately tests your knowledge of the concepts that are covered in class. There's no surprises on exams, either; as long as you can complete and understand the homework, the exams will be fairly easy (and grading is usually generous as well).
The course material itself is quite interesting, especially the part on Bayesian statistics. The class does tend to be broad rather than deep, so if there's an idea or model that's particularly interesting to you, you'll have to explore it on your own time.
In terms of participation, Professor Chen will occasionally do in-person roll calls, and he will take note if you've "signed in" but aren't actually there. The very small impact that missing a class has on your grade is really not worth it.
The materials covered in this class are very interesting. Basically, it covers many applications of Monte Carlo Method in real life ranging from deciphering to document classification. I would say my decision to continue pursuing a graduate degree in Stats is partly due to this course. As usual, Professor Chen is very passionate and helpful. His lectures are super clear and are always posted on Youtube after classes. The homework assignments are very instructional and weigh more than the exams in the grading scheme. As long as you pay attention in class and do well in all the homework assignments, you will get good grades. Needless to say, Miles is always the best.
Sure Miles comes off as great and cares about his students well being but the moment you step into office hours, it seems like he is criticizing or judging your questions. If you somehow get on his bad side, then you're stuck there. He's pretty petty and tends to take things personally. Make sure you get on his good side or he'll screw you over.
Wouldn't take a class with him, I've learned NOTHING in the 102 series.
After taking STATS 102A and 102B with Professor Chen, I completed the 102 series with him. This class aligned closer to 102B than 102A, as the focus was on the algorithms and their implementation rather than having to code extensively (coding was still required). With the midterms, time was a small concern (especially for the second one), but Professor Chen allowed students to have notes with them, making things more manageable. The material of this course does have real-life applications, which was nice because we saw examples of how some of the algorithms used might be implemented outside of the classroom. Ultimately, Professor Chen explains the material well and engages the students, which is why I would recommend taking 102C (and the entire 102 series) with him, if possible.
The exam is really long and hard, he mislead students for some course logistics. Very complicated to succeed in this class. He apparently has favoritism and is willing to answer certain students' answers over others. I took stats 15 with this professor. Not recommended. ***k *** er
Based on 17 Users
TOP TAGS
- Is Podcasted (7)
- Uses Slides (8)
- Appropriately Priced Materials (6)
- Would Take Again (7)
- Tolerates Tardiness (4)
- Engaging Lectures (5)
- Snazzy Dresser (4)