C&EE 110

## Introduction to Probability and Statistics for Engineers

*Description:*Lecture, four hours; discussion, one hour (when scheduled); outside study, seven hours. Requisites: Mathematics 32A, 33A. Recommended: course M20. Introduction to fundamental concepts and applications of probability and statistics in civil engineering, with focus on how these concepts are used in experimental design and sampling, data analysis, risk and reliability analysis, and project design under uncertainty. Topics include basic probability concepts, random variables and analytical probability distributions, functions of random variables, estimating parameters from observational data, regression, hypothesis testing, and Bayesian concepts. Letter grading.

*Units:*4.0

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**Most Helpful Review**

Spring 2024 - Professor Droguett is one of the best professors in the civil engineering department. His midterm for this class was extremely fair and he thus made the final a bit more difficult, but managable. Homeworks were based off the discussions so as long as you reviewed the discussion worksheets you were solid in the class. Lectures were useful as getting an introduction to the material while the discussions solidified the topics. Overall I would definitely recommend others to take this class with Professor Droguett.

**Most Helpful Review**

Spring 2020 - Pretty easy material and useful lectures. I took her during the quarantine quarter so I don't know if she normally uses slides, but literally everything you need to know for the homework and the tests is covered in them. Lectures can get kind of boring when she spends a really long time solving a pretty simple problem, but concise solutions were uploaded for every lecture example. The lecture slides and their solutions were very organized and helpful in solving the homework problems. Homework assignments were pretty easy and most of them only took a couple of hours. The tests are easy and exactly the same as the homework; last year's midterm and final questions were on some of the homework assignments this year. The mean of the midterm was 92.8% and the median was 95.2%; clearly not very hard. The material is pretty interesting too. I had no experience with statistics and never used any source of information other than her slides, only studied by spending a couple hours on homework each week and reading through her slides before the test to copy down the important formulas for my cheat sheet, and looked through the sample test and homework solutions before the test. I did just fine and would highly recommend this class.

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**Most Helpful Review**

Spring 2019 - This class is pretty easy, especially if you have taken a stats class before. She gives 5% participation where you answer 2-3 questions on OPT, so you have to go to class, unless your friends in class tell you to log onto OPT when its on and enter the correct answer. I believe you get 4/5 of the credit for just participating and 5/5 for a correct answer for each question. So if you get every question wrong but answer them all, you get 4% out of 5%. It doesn't impact your grade that much, but you need to go to class because of this, unless you have AP Stats credit. If you have AP stats credit, she allows you to skip class and you remove that participation category of the grade. You get one homework assignment per week and they are pretty easy and don't take long. It took me about a total of 3-5 hours per week for homework. Most of the answers are straight from Chegg, and the TAs go over the approach for each question during discussion, or at least my TA did. The midterm was pretty easy and was almost exactly like the 2017 midterm. She often asks old exam questions on the homework. So, the homework is similar difficulty to the exams. It's not hard to get full credit on the homework. If anything, you might get marked off 1 or a few points out of 100 points for each assignment. Homework is 25% of you grade, participation is 5%, midterm is 30%, and the final is 40%. The grading seemed to be straight scale with approximately 93% as an A and 90% for an A- I think. She never released the scales but I think that is what it was. She said she is not afraid to give everyone an A if they do well. For studying for exams, I recommend skimming all the lectures again and doing the example problems. Go over the past exams too if you can get a hold of them. She gives you the exams from the previous year, but not years before that. She lets you have a one sided cheat sheet for the midterm and a double sided one for the final. She offers extra credit for going in front of the class and attempting to solve a problem. You get extra credit whether it is correct or not. Also, you get extra credit for correcting her English, but I never knew anyone who got that. I never encountered her during her office hours, so I can't speak much about how helpful she is one on one. As far as her lecturing, it can be kind of boring and I often fell asleep sometimes. Her ability to lecture is okay. It is not the best, but it also isn't the worst. She uses powerpoint slides. I've had better lecturers and worse lecturers, but she's one of the better ones. She also seems very friendly and is lenient on getting extensions on homework assignments if you need them and is understanding of other accommodations like alternate exam dates if there is a legit excuse. You just need to let her know ahead of time. She claims that she, or the department (I don't remember what she said exactly), that this class will be harder next year. People wrote on the evaluations that this class is too easy, so I think they might make the class harder, so don't be surprised if this class isn't a walk in the park anymore.