STATS 101A
Introduction to Design and Analysis of Experiment
Description: Lecture, three hours; discussion, one hour. Requisites: course 10 or 12 or 13 or Economics 41 or score of 4 or higher on Advanced Placement Statistics Examination, and course 20. Recommended: course 102A. Applied regression analysis, with emphasis on general linear model (e.g., multiple regression) and generalized linear model (e.g., logistic regression). Special attention to modern extensions of regression, including regression diagnostics, graphical procedures, and bootstrapping for statistical influence. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Winter 2020 - Just finished a midterm for this class. I haven't got a grade from this class yet, so I have no idea how he would deal with curving issue. But the lectures, homework, and exams are DEFINITELY HORRIBLE experience! I do not feel like learning anything from the mandatory lectures, and his unorganized class structure just made students not able to concentrate on the materials. The notes posted online was just like sketchy drafts, and professor gave practice WITHOUT answer. The questions in the exam were also very unfairly hard and did not match the difficulty of the problem sets he usually gave. Overall, I do not recommend taking 101A with Professor Almohalwas if you want to learn anything.
Winter 2020 - Just finished a midterm for this class. I haven't got a grade from this class yet, so I have no idea how he would deal with curving issue. But the lectures, homework, and exams are DEFINITELY HORRIBLE experience! I do not feel like learning anything from the mandatory lectures, and his unorganized class structure just made students not able to concentrate on the materials. The notes posted online was just like sketchy drafts, and professor gave practice WITHOUT answer. The questions in the exam were also very unfairly hard and did not match the difficulty of the problem sets he usually gave. Overall, I do not recommend taking 101A with Professor Almohalwas if you want to learn anything.
Most Helpful Review
Winter 2025 - Homework assignments were really helpful for learning the content. Exams were generally easier than the homework questions as well. Slides were easy to understand and she provided practice exams for both exams. Overall would recommend taking this class with Professor Cha as I genuinely feel like I learned a lot and really enjoyed it!
Winter 2025 - Homework assignments were really helpful for learning the content. Exams were generally easier than the homework questions as well. Slides were easy to understand and she provided practice exams for both exams. Overall would recommend taking this class with Professor Cha as I genuinely feel like I learned a lot and really enjoyed it!
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Most Helpful Review
Spring 2022 - The best professor I've had in the UCLA stats path, however I can acknowledge why people don't like the pacing of his classes. For both Stats 10 and 101A he used a mini midterm system which I personally really liked, and kept the content relevant, making it hard to fall behind. He explains concepts really well, and I was excited to go to lecture. If you like the midterm system then he's a 10/10 prof.
Spring 2022 - The best professor I've had in the UCLA stats path, however I can acknowledge why people don't like the pacing of his classes. For both Stats 10 and 101A he used a mini midterm system which I personally really liked, and kept the content relevant, making it hard to fall behind. He explains concepts really well, and I was excited to go to lecture. If you like the midterm system then he's a 10/10 prof.
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