|Syllabus||About the class, class materials and resources, class assessment and expectations|
|Topics||Tentative topics, notes, assignments, and books and online resources list|
The main textbook is Probability, Statistics, and Data: A fresh approach using R by Darrin Speegle and Bryan Clair. The textbook is free and open-source. We will also use other supplementary books and resources throughout the course (please see the Topics Schedule).
This class will use the R programming language and the R Studio Integrated Development Environment (IDE). There are several ways to use R and R Studio. Below are two ways to access R and R Studio.
Clark Library Digital labs. On campus, there are two computer labs that are located in Shiley Hall room 208 and the Clark Library. When you log-in into the lab computers using your UP credentials, you will have access to R (The availability of R Studio is still unknown; pending confirmation).
We will be using Teams mth-461a-fa22 as the main real-time communication tool for general announcements, assignment submissions, question-answering discussions, and direct messages. I added you to the Teams page already so you just need to log in using your UP credentials. If not, then send a request when you log in. Let me know if you need any assistance. If you need the Teams code for this class, use rg9ngv0.
Please check the class Teams regularly. If you need to have Teams notifications sent to your email, please set up your email preferences within Teams.
If you prefer communicating through email, note that I had set up an email filter for this course and you must put the “MTH 461” keyword in your subject line. It is easy for me to get notice of your email if you put the keyword in the subject line. Concise and specific messages are helpful so I know how I can best help you.