Math/Stat 442 Daily Content
Math/Stat 442 Daily Content
This is a subpage of the Math/Stat 487/442 Course page. If you need overall syllabus info about Math/Stat 442, click here.
Embedded Files
This is a subpage of the Math/Stat 487/442 Course page. If you need overall syllabus info about Math/Stat 442, click here.
This course meets in Morken 26
M, W, F 9:30 - 10:30 AM
Student hours are
M, W, F 10:30-11:15am
Th 11:30-12:15pm;
& by appointment! (in person or virtual)
Announcements
Announcements
Nat Sci opportunity fair today in the grass outside Reike 2-3pm
Monday's class: Diving into R statistical software. Let me know if you need resources to get started with R.
To Do
To Do
Reminder! Due by Thursday (yesterday!)
Join Google Classroom
Reflective Report #1 (~15 min)
Read Syllabus
HW 01 due Friday at 3pm (soft). Submit as PDF to Google Classroom
Update your version of R and R Studio
Sept 5: What makes good fit?
Sept 5: What makes good fit?
Learning Goals:
Learning Goals:
Create measures to evaluate models
Evaluate measures of model fit
Agenda:
In Groups:
Share/remind us how we should refer to you
Share about your favorite pet & why you liked it. (If no pets? Share your Favorite family member or friend)
Discuss HW: what was the hardest question for you and why do you think it was the most difficult?
Discuss remaining HW questions as a large group
Finish Model Selection MEA (in Groups).
Announcements
Announcements
Seating Chart link
Welcome! I am Dr. Justice!
Important websites:
How to reach the syllabus
How to reach this Weekly Content Page
Best way to reach NJ is via email
If you have a question about coursework be sure to include the prompt in the email.
Student (Office) Hours:
(See top of this page)
To Do
To Do
Due by Thursday (7:30pm):
Join Google Classroom
Reflective Report #1 (~15 min)
Read Syllabus
HW 01 due Friday at noon. Submit as PDF to Google Classroom
Sept 3: Introduction
Sept 3: Introduction
Learning Goals:
Learning Goals:
Get to know some of the course structure, etc.
Get to know two important websites (G.C. and this one!)
Develop measures to evaluate models
Agenda:
Intro to the Course (slides intentionally not included).
Model Selection MEA (in Groups).
Get to know groups/ assign roles...
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