Engr 328
Engineering Statistics with Probability
Study of statistics with probability in engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the central limit theorem. Applications: data visualization, point estimation, interval estimation, hypothesis testing, linear regression, design and analysis of experiments, tests of normality, multiple comparisons, non-parametric procedures, uncertainty analysis, and statistical ethics. This course has a required lab section where students will learn the basics of R to compute statistical analyses. Examples are taken from engineering applications with an equity lens. Prerequisites: Math 233 or equivalent.
Instructors
Reviews
2-4 hrs/week
This class was so boring. Krone does his best to make it interesting or somewhat entertaining but the topic is just bleh. It’s mad easy though. Krone cares a lot so if you need help he’ll give it to you no problems whether that be hw help or extensions etc…it’s a bit tedious with quite a bit of R coding but there are enough examples floating around in the SINGLE CANVAS PAGE (I’ve still got beef with that) that you can find almost exactly what you need.
5/22/2024
I hate statistics but I love Krone. Super funny and understanding. Projects are tough but go to his office hours and you'll be fine.
1/13/2024
There are no exams in the class, just homework and projects which accurately reflect the lecture notes/labs. Office hours and the TAs are very helpful. Krone is super understanding and cares about his students- he is accommodating to personal circumstances and tries hard to make class fun
12/5/2023
Lectures can sometimes be a little fast-paced but example problems in the notes help to solidify concepts. Weekly homework can be a little tricky but you are allowed to collaborate with friends and office hours are extremely helpful. Take-home assessments can take a while to complete but if you have a good grasp on the material you should be fine.
5/13/2023
Prof. Krone is not a good lecturer because his class is really boring and not helpful compared to his notes. However, he set the class in a proper difficulty level that matches to the lecture: there are no exams! An easy A professor and doesn't create difficulty on student's grades, but there won't be much knowledge one could gain from his class.
12/28/2022