STATS 100A
Introduction to Probability
Description: Lecture, three hours; discussion, one hour. Requisites: Mathematics 32B, 33A. Not open to students with credit for Electrical Engineering 131A or Mathematics 170A; open to graduate students. Students may receive credit for only two of following: course 100A, former course 110A, Biostatistics 100A. Probability distributions, random variables, vectors, and expectation. P/NP or letter grading.
Units: 4.0
Units: 4.0
Most Helpful Review
Fall 2020 - Note: This review is for Fall 2020, a quarter conducted remotely for this class. STATS 100A with Professor Wu was a straightforward, easy class with little work outside of class time. Professor Wu uploaded his slides to the website before the lectures so that we could follow along, but he did mention some things during the lectures which were not present on the slides. I thought he explained things relatively well, but the class was a little slow in that he would spend the first thirty minutes of class reviewing the material from the prior lecture. This was the main drawback: I feel as if we could have gone more in depth in the material discussed or gained more breadth on other topics. The graded material for this class was relatively simple. The homework assignments closely mirrored the lectures; some of the problems were verbatim from the slides or extremely similar (i.e., the only change was the numbers used in the equations). The midterm and final were pretty easy as well: they expanded a little bit on the lectures, but most of the answers could be found after perusing the lecture notes (the exams were open book). TL;DR: Regarding grades, the class is a breeze. The material learned is easy to retain, but I feel as if we could have learned more.
Fall 2020 - Note: This review is for Fall 2020, a quarter conducted remotely for this class. STATS 100A with Professor Wu was a straightforward, easy class with little work outside of class time. Professor Wu uploaded his slides to the website before the lectures so that we could follow along, but he did mention some things during the lectures which were not present on the slides. I thought he explained things relatively well, but the class was a little slow in that he would spend the first thirty minutes of class reviewing the material from the prior lecture. This was the main drawback: I feel as if we could have gone more in depth in the material discussed or gained more breadth on other topics. The graded material for this class was relatively simple. The homework assignments closely mirrored the lectures; some of the problems were verbatim from the slides or extremely similar (i.e., the only change was the numbers used in the equations). The midterm and final were pretty easy as well: they expanded a little bit on the lectures, but most of the answers could be found after perusing the lecture notes (the exams were open book). TL;DR: Regarding grades, the class is a breeze. The material learned is easy to retain, but I feel as if we could have learned more.