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- Michael Tsiang
- STATS 100C
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Based on 8 Users
TOP TAGS
- Uses Slides
- Would Take Again
- Is Podcasted
- Engaging Lectures
- Often Funny
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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It was Mike's first time teaching 100C, yet he always made organized, informative slides for each lecture and reasonable but challenging homework assignments. He also was very accommodating at the end because of everything surrounding the protests and riots. 100C gets a rep for being one of the hardest stats classes, but I felt Mike's instruction and expectations made it a very fulfilling, enjoyable experience. Really pleased to have taken it with him!
Mike is awesome; he really wants you to succeed. He is very approachable outside of class. The material of the class is difficult, but the class itself is well organized. The tests build on the HWs, which build on the notes. Do not worry about your grade even if your raw scores are low, as the curve is very generous.
This was my third class with Professor Tsiang (STATS 20 and STATS 199 prior to this) and he never ceases to place things into perspective. As another review noted, this class provides the reasoning behind STATS 101A (and a little of STATS 102B). The pacing of the class was nice as, because this quarter was conducted remotely, Professor Tsiang made the class asynchronous and held office hours during the time listed with the registrar. Professor Tsiang gives ample time for both the midterm as well as the final and combines a little theory with a little application so that we understand not only the reasoning but also the practical use of the concepts of 100C.
*online version*
Known as possibly the hardest stats class offered, Mike made 100C very easy to follow and learn, even for his first time. He made clean lecture slides that explained the topics well, and the homework assignments built upon what was taught in the (prerecorded) lectures. The class was graded on homework (30%), midterm (30%), and final (40%), but for this quarter, he made the final no-harm/optional. He offered office hours both during regular times and during class times, and was extremely helpful with questions, though he enjoys helping students come to the correct answers themselves. The tests were fair, as they were similar to the homework, but expanded on different concepts.
Stats 100C is one of the most important classes you will take as a Stats major. The theory behind linear regression is very important and sets you up well for doing statistical analysis and working with data. That being said, Mike placed emphasis on both the theoretical and applied portion, making sure that we knew about why the theory and "hard" math are important for the applied portions. Think about it as "why Stats 101A works." Mike did an amazing job explaining these concepts to us, through very thorough and well-paced lecturing, copious amounts of office hours, and well-rounded exams. Mike's virtue of valuing learning over a grade really reflected in my performance, and it was especially necessary for this class. I wouldn’t have it any other way.
It was Mike's first time teaching 100C, yet he always made organized, informative slides for each lecture and reasonable but challenging homework assignments. He also was very accommodating at the end because of everything surrounding the protests and riots. 100C gets a rep for being one of the hardest stats classes, but I felt Mike's instruction and expectations made it a very fulfilling, enjoyable experience. Really pleased to have taken it with him!
Mike is awesome; he really wants you to succeed. He is very approachable outside of class. The material of the class is difficult, but the class itself is well organized. The tests build on the HWs, which build on the notes. Do not worry about your grade even if your raw scores are low, as the curve is very generous.
This was my third class with Professor Tsiang (STATS 20 and STATS 199 prior to this) and he never ceases to place things into perspective. As another review noted, this class provides the reasoning behind STATS 101A (and a little of STATS 102B). The pacing of the class was nice as, because this quarter was conducted remotely, Professor Tsiang made the class asynchronous and held office hours during the time listed with the registrar. Professor Tsiang gives ample time for both the midterm as well as the final and combines a little theory with a little application so that we understand not only the reasoning but also the practical use of the concepts of 100C.
*online version*
Known as possibly the hardest stats class offered, Mike made 100C very easy to follow and learn, even for his first time. He made clean lecture slides that explained the topics well, and the homework assignments built upon what was taught in the (prerecorded) lectures. The class was graded on homework (30%), midterm (30%), and final (40%), but for this quarter, he made the final no-harm/optional. He offered office hours both during regular times and during class times, and was extremely helpful with questions, though he enjoys helping students come to the correct answers themselves. The tests were fair, as they were similar to the homework, but expanded on different concepts.
Stats 100C is one of the most important classes you will take as a Stats major. The theory behind linear regression is very important and sets you up well for doing statistical analysis and working with data. That being said, Mike placed emphasis on both the theoretical and applied portion, making sure that we knew about why the theory and "hard" math are important for the applied portions. Think about it as "why Stats 101A works." Mike did an amazing job explaining these concepts to us, through very thorough and well-paced lecturing, copious amounts of office hours, and well-rounded exams. Mike's virtue of valuing learning over a grade really reflected in my performance, and it was especially necessary for this class. I wouldn’t have it any other way.
Based on 8 Users
TOP TAGS
- Uses Slides (6)
- Would Take Again (4)
- Is Podcasted (4)
- Engaging Lectures (4)
- Often Funny (4)