This module is MATH3714 Linear Regression and Robustness. The module manager and lecturer is Dr Jochen Voss, with email J.Voss@leeds.ac.uk .
The main way I expect you to learn the material for this course is by reading these notes and by watching the accompanying videos. We will cover two sections of notes each week.
Reading mathematics is a slow process. Each section roughly corresponds to one traditional lecture of 50 minutes. If you find yourself regularly getting through sections in much less than an hour, you’re probably not reading carefully enough through each sentence of explanation and each line of mathematics, including understanding the motivation as well as checking the accuracy.
It is possible (but not recommended) to learn the material by only reading the notes and not watching the videos. It is not possible to learn the material by only watching the videos and not reading the notes.
Since we will be relying heavily on these notes, I am even more keen than usual to hear about errors mathematical, typographical or otherwise. Please email me if think you may have found any.
The timetable lists three hours of lectures per week for this module. Given these notes and the video lectures, I anticipate that we will not need the full allocated three hours every week. My plan is to start out with two hours per week (Thuesday, 3-4pm and Friday, 1-2pm). We can adjust this arrangement as needed.
I these lectures I will run through the highlights of the notes, and there will plenty of opportunity to give extra examples and to answer any questions you may have. I am very keen to hear about things you’d like to go through in the lectures; please email me with your suggestions.
There will be 5 problem sheets, corresponding to workshops in weeks 2, 4, 6, 8 and 10. The main goal of the workshops will be to go over your answers to the problems sheets.
My recommended approach to problem sheets and workshops is the following:
- Work through the problem sheet before the workshop, spending plenty of time on it, and making multiple efforts at questions you get stuck on. I recommend spending at least three hours on each problem sheet, in more than one block. Collaboration is encouraged when working through the problems, but I recommend writing up your work on your own.
- Take advantage of the workshops to ask for help or clarification on questions you weren’t able to complete.
- After the workshop, attempt again the questions you were previously stuck on.
- If you’re still unable to complete a question after this second round of attempts, then consult the solutions.
For the module we will use the statistical computing package R. This program is free software, and you can find the program and documentation at the R project homepage. In particular, R will be used in the (assessed) practial.
My recommendation would be to install the RStudio environment, which includes R, on your own computer and use this for your work. (Choose the open source version, “RStudio Desktop”, on the download page.) Alternatively you can use RStudio or plain R on the university computers.
Your final mark for the module will be based on a computer practical (20%) and a final exam (80%). For the practical (I believe it will take place in week 9) you will need to solve some problem using R and the methods you learned in the course and to present your results in a short report.