Welcome to ST303 - Linear Models
Module Overview
ST303 - Linear Models
Module information
Office: Logic House Room 223
Email: cormac.monaghan@mu.ie
Lectures
- Friday @12pm in Arts Building
- Friday @4pm in Physics Hall
Tutorials
- Tutorials will run weekly starting in Week 3 (5th October)
- These will be in the form of help desks where you can go and ask any questions about your homework, the class, or any of the material
ST303 - Linear Models
Module information
Assessment
- 4 Moodle quizzes worth 10%
- 1 Midterm worth 15% (November 6th @12pm)
- Final Exam worth 75% (In January)
Textbook
ST303 - Linear Models
Office Student Hours
Student hours are set times dedicated to all of you. Most professors call these “office hours” - which I always found too formal and scary!
Why student hours?
Students often think that “office hours” are times when professors should be left alone - which is the total opposite. I’m hoping that by calling them student hours, it might alleviate this misunderstanding.
This means that during these times I’ll be waiting for you to talk to me where you can ask whatever questions you may have.
You can schedule a meeting with me here.
Or just knock on the door and pop in!
ST303 - Linear Models
Lecture format
- All the slides and reference material will be uploaded to a dedicated module website
- I will also add them to Moodle.
- Just like the slides, all the R code will be provided to help you along with your learning.
If you have questions
Please stop me at any point to ask a question or ask me to clarify something. Alternatively, if you’re a shy person (like me!) you can come up and ask me at the end of class!
ST303 - Linear Models
What we will cover
This modules aims to introduction you to the fundamentals of linear models This course will cover (but is not limited to) the following:
- Statistical ideas
- Mathematical models
- Real data
- R demonstrations
- Short activities and questions
- Case studies
The important skill is knowing how to interpret and evaluate a linear model.
ST303 - Linear Models
Software
We will be using R and RStudio for this module. Alternatively, if anyone wants to they can use the new Positron IDE.
The departmental server used RStudio, so to keep things consistent, I’ll be sticking with that for this module (although, I highly recommend checking out Positron if you get the chance).
Has anyone not used R or RStudio before
I’ll be running a beginner friendly crash course on R in Week 2 (Friday 4pm)
Does anyone like cats?
- This is my cat
- His name is Bigsy
- His favourite things are sleeping, eating, and hiding mice in the house
