Professor
Miles Chen
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Most Helpful Review
Winter 2016 - My favorite class I've ever taken. He explains statistics in a very clear manner. I did not have to consult my textbook at all for this course - everything I learned from his lecturing made sense. I definitely hope to have him as a professor again if I take statistics courses in the future.
Winter 2016 - My favorite class I've ever taken. He explains statistics in a very clear manner. I did not have to consult my textbook at all for this course - everything I learned from his lecturing made sense. I definitely hope to have him as a professor again if I take statistics courses in the future.
Most Helpful Review
Summer 2021 - I think Professor Chen is a great professor and I would definitely recommend taking Stats 13 with him! He's very passionate about the material and is great at teaching and explaining. You have to watch every lecture and every week (at least for summer) there's a set of homework problems, a coding lab, and a quiz due. The workload is manageable (just don't leave it all until the end of the week!) The quizzes, midterm, and final exam were all straightforward and reasonable. Overall the class isn't difficult and relatively straightforward, take this class with Dr. Chen!
Summer 2021 - I think Professor Chen is a great professor and I would definitely recommend taking Stats 13 with him! He's very passionate about the material and is great at teaching and explaining. You have to watch every lecture and every week (at least for summer) there's a set of homework problems, a coding lab, and a quiz due. The workload is manageable (just don't leave it all until the end of the week!) The quizzes, midterm, and final exam were all straightforward and reasonable. Overall the class isn't difficult and relatively straightforward, take this class with Dr. Chen!
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Most Helpful Review
Winter 2022 - Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
Winter 2022 - Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
Most Helpful Review
Winter 2018 - Aside from his highly confusing exam questions, the homework problems are REALLY hard. You are basically required to build extra complicated codes based on his lectures navigating basic R and some library stuff. I believe taking STATS 20 is not enough to prepare this class. Be sure to come up with decent programming skills to survive in this class. Pros : His lectures are so organized that you can easily study via the videos on CCLE and the lecture notes. He gives lots of extra credits toward the end of quarter.
Winter 2018 - Aside from his highly confusing exam questions, the homework problems are REALLY hard. You are basically required to build extra complicated codes based on his lectures navigating basic R and some library stuff. I believe taking STATS 20 is not enough to prepare this class. Be sure to come up with decent programming skills to survive in this class. Pros : His lectures are so organized that you can easily study via the videos on CCLE and the lecture notes. He gives lots of extra credits toward the end of quarter.
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Most Helpful Review
Spring 2021 - Participation on Campuswire is crucial so that you get full credit on that part of your grade. No homeworks are dropped, but they aren't too difficult either. Exams demand speed and thus decent familiarity with the material. Make good use of his study guides and thoroughly review his slides. He does not curve, so do study hard. Tip: You might want to take notes during lectures, especially on discussions/explanations that are not on slides. This may help you streamline exams even faster. Professor Chen is extremely caring and kind. He's willing to share his views on career planning, grad school and life philosophy. He loves teaching and explains stuffs well. His lecture slides are logically organized, easy to read and informative. Great instructor and awesome person.
Spring 2021 - Participation on Campuswire is crucial so that you get full credit on that part of your grade. No homeworks are dropped, but they aren't too difficult either. Exams demand speed and thus decent familiarity with the material. Make good use of his study guides and thoroughly review his slides. He does not curve, so do study hard. Tip: You might want to take notes during lectures, especially on discussions/explanations that are not on slides. This may help you streamline exams even faster. Professor Chen is extremely caring and kind. He's willing to share his views on career planning, grad school and life philosophy. He loves teaching and explains stuffs well. His lecture slides are logically organized, easy to read and informative. Great instructor and awesome person.
Most Helpful Review
Summer 2018 - 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.
Summer 2018 - 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.
Most Helpful Review
Fall 2019 - Much of the learning is done through Data Camp, plus some in-class presentations in Jupyter notebook by Prof Chen. Lectures are recorded and posted on YouTube, so attendance is not necessary (Almost no one attended the last 2 lectures before Thanksgiving). Felt like only learned mostly from Data Camp exercises for data analysis, only the last few lectures were brand new material outside Data Camp. Not the best class to fully master Python as modeling and ML techniques were only simply or briefly discussed
Fall 2019 - Much of the learning is done through Data Camp, plus some in-class presentations in Jupyter notebook by Prof Chen. Lectures are recorded and posted on YouTube, so attendance is not necessary (Almost no one attended the last 2 lectures before Thanksgiving). Felt like only learned mostly from Data Camp exercises for data analysis, only the last few lectures were brand new material outside Data Camp. Not the best class to fully master Python as modeling and ML techniques were only simply or briefly discussed
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