STATS 100C
Linear Models
Description: Lecture, three hours; discussion, one hour. Enforced requisite: course 100B or Mathematics 170S. Theory of linear models, with emphasis on matrix approach to linear regression. Topics include model fitting, extra sums of squares principle, testing general linear hypothesis in regression, inference procedures, Gauss/Markov theorem, examination of residuals, principle component regression, stepwise procedures. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Spring 2019 - This class was HARD. Like, it's definitely true when people say it's the hardest stats class at UCLA. But, I really liked Amini as a professor. His slides were super clear and concise, and they were soo helpful when doing the homework. But, be warned, the workload is HEAVY. The homework took me days to complete, and they were graded on correction through Gradescope. But I think the graders got really lazy by the end of the quarter, so they were pretty lenient about grading, which is nice. Amini had a midterm and a final, and they were both ridiculously and insanely hard. The averages on both tests were Ds, I'm pretty sure, but the curve was really good. He made the final open notes, book, and even laptop, but tbh it didn't even help because it was that hard. Still, I think his curve saved me. Overall, I really enjoyed this class because you get to learn about linear algebra as applied to stats, and Amini made it really clear to follow! But his tests and homework were really hard :(
Spring 2019 - This class was HARD. Like, it's definitely true when people say it's the hardest stats class at UCLA. But, I really liked Amini as a professor. His slides were super clear and concise, and they were soo helpful when doing the homework. But, be warned, the workload is HEAVY. The homework took me days to complete, and they were graded on correction through Gradescope. But I think the graders got really lazy by the end of the quarter, so they were pretty lenient about grading, which is nice. Amini had a midterm and a final, and they were both ridiculously and insanely hard. The averages on both tests were Ds, I'm pretty sure, but the curve was really good. He made the final open notes, book, and even laptop, but tbh it didn't even help because it was that hard. Still, I think his curve saved me. Overall, I really enjoyed this class because you get to learn about linear algebra as applied to stats, and Amini made it really clear to follow! But his tests and homework were really hard :(
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Fall 2018 - Instead of complaining again about the super hard exams that everyone already knows. I would like to talk something else about Dr. Christou. I know that his tests may make your quarter super stressful and all, but if you plan to go to graduate school, you should take at least one class with him. It gives you the taste of graduate school, the "challenging academic life" that you always want to have as stated in your Statement of Purpose. I took 100B and 100C with him. I spent at least 3 hours every weekday to study for his class alone. His tests force you to learn, and sadly, yes, you have to put more priority to his class in order to do "good" on the tests. He helped me so so so so much when I applied to grad schools as he would do to you too if you ask him. That was when I realize how much he cares about students' success. You should not go to his office hour before having already tried your best on the assignments, show him that you made efforts to solve them. Now probably you think that I go to his OH everyday and am his favorite student or something, NO, I barely went to his OH, less than 5 times when I took 100B. If you plan to go to grad school, take a class with him, before you apply, go to his OH to ask for advice, tell him what your plan/concern is. To those who are applying to grad school in statistics: GPA, major, and whether if you took Math115A/131A/151AB/164 /142 matter the most when you apply.
Fall 2018 - Instead of complaining again about the super hard exams that everyone already knows. I would like to talk something else about Dr. Christou. I know that his tests may make your quarter super stressful and all, but if you plan to go to graduate school, you should take at least one class with him. It gives you the taste of graduate school, the "challenging academic life" that you always want to have as stated in your Statement of Purpose. I took 100B and 100C with him. I spent at least 3 hours every weekday to study for his class alone. His tests force you to learn, and sadly, yes, you have to put more priority to his class in order to do "good" on the tests. He helped me so so so so much when I applied to grad schools as he would do to you too if you ask him. That was when I realize how much he cares about students' success. You should not go to his office hour before having already tried your best on the assignments, show him that you made efforts to solve them. Now probably you think that I go to his OH everyday and am his favorite student or something, NO, I barely went to his OH, less than 5 times when I took 100B. If you plan to go to grad school, take a class with him, before you apply, go to his OH to ask for advice, tell him what your plan/concern is. To those who are applying to grad school in statistics: GPA, major, and whether if you took Math115A/131A/151AB/164 /142 matter the most when you apply.
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Most Helpful Review
I've had her multiple times for multiple courses (100C, 102A). I don't understand why they still let her teach. She has plenty of positive reviews but I think they're largely because the people writing them are not stats majors. I can see that she would be a good professor if you'd like things really simple or generally aren't mathematically inclined. But that being said, if you would like your professors to speak to your level, be logical, make sense, or understand what they're teaching (especially at the undergraduate level), Juana is not for you. She's nice but she's infuriating. Her questions on homework and in tests don't make sense. Her notes aren't proofread (such as, she didn't run her code before class for 102A, so wasted a lot of time during class troubleshooting her R code). She may be great for Stats 10 (I wouldn't know, I didn't have her), but seriously, for upper division, wait a year and see if someone else is teaching it.
I've had her multiple times for multiple courses (100C, 102A). I don't understand why they still let her teach. She has plenty of positive reviews but I think they're largely because the people writing them are not stats majors. I can see that she would be a good professor if you'd like things really simple or generally aren't mathematically inclined. But that being said, if you would like your professors to speak to your level, be logical, make sense, or understand what they're teaching (especially at the undergraduate level), Juana is not for you. She's nice but she's infuriating. Her questions on homework and in tests don't make sense. Her notes aren't proofread (such as, she didn't run her code before class for 102A, so wasted a lot of time during class troubleshooting her R code). She may be great for Stats 10 (I wouldn't know, I didn't have her), but seriously, for upper division, wait a year and see if someone else is teaching it.
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