ST2304
This page contains the timetable and links to all of the material (modules, exercises etc.). There will only be small changes from previous years: the course material (lecture notes etc.) from last year are here.
Timetable
(this is last year's times.) Starts Monday 6th January at 12:15.
- Monday 12:15 - 14:00 in Landmålerhallen.
- Tuesday 16:15 - 18:00 in G1.
- Thursday 12:15 - 14:00 in Landmålerhallen.
All materials will be found at this web link - just click on the correct folder for the lecture week https://www.math.ntnu.no/emner/ST2304/2025v/
Examination
Previous exams and solutions are here
The exam will NOT be on Tuesday 13th of May, 9:00-13:00 (that was last year!).
You do not need to get a stamped yellow sheet of paper: you can just bring hand-written notes on a normal sheet of paper (you can hand write them on an iPad and print them out).
I will also reserve the rooms for help with revision:
If they overlap with other exams, or if you want another session, email me and I will arrange something. Also, I am happy to answer questions and help at other times. So feel free to email me with questions (relevant questions - when I learned cell biology we though the cell was a blob with a few weird bodies in it).
Recommended texts
None of these books is perfect for this course, or is necessary to buy. If you want only one, Hector is probably best unless you are happy to read something a bit more technical (= has lots more equations), in which case Dunn & Smyth is good.
New Statistics with R - Hector: a useful practical book, it covers the material well, but not deeply.
The Analysis of Biological Data - Whitlock & Schluter - covers a lot of the more basic ideas in detail.
Generalized Linear Models With Examples in R - Dunn & Smyth This is mathematically a bit more advanced, but is fine if you are comfortable reading equations.
Module 1: Introduction (week beginning January 6th)
Taskcard link (this will be explained)
Module 2: Estimating a Parameter (week beginning January 13th)
- An introduction to directories, for those confused by them.
- R functions for the module. You probably don't need to look at this file - we will use it in the module.
Module 3: Confidence Intervals (week beginning January 20th)
Exercises start this week!
- Exercise 1. (deadline: end of Sunday 2nd February)
- Notes from 23.01 on the difference between probability distribution and likelihood: Notes from iPad.
Module 4: Normal Distribution (week beginning January 27th)
- Exercise 2. (deadline: end of Sunday 9th February)
Module 5: Regression (week beginning February 3rd)
- Exercise 3. (deadline: end of Sunday 16th February)
Module 6: Regression (week beginning February 10th)
- Exercise 4 (hand in by end of February 23th)
Module 7: Multiple Regression (week beginning February 17th)
- Exercise 5 (hand in by end of March 2nd)
Module 8: Categorical Variables (aka ANOVA) (week beginning February 24th)
- Exercise 6 (hand in by end of March 9th)
Module 9: Interactions between Categorical Variables (week beginning March 3rd)
- Exercise 7 (hand in by end of March 16th)
Module 10: Model Selection (week beginning March 10th)
This week's module is split into 3 parts, because it was getting a bit long.
- Exercise 8 (hand in by end of March 23rd)
In addition we have a couple of scripts that might help you when running the problems in R:
Module 10a: Full Analyses (week beginning March 17th)
This week will be a bit different. We want you to look at the whole process of data analysis, i.e. use all the parts you have been learning over the last few weeks to answer some biological questions.
We only expect you to answer one of these, but we will be happy if you try both. There are two ways to answer them: some exam-style questions (for those of you looking ahead), and a more free-form "try to do the analysis on your own". For those of you taking the continuation exam, note that this will probably be an oral exam, so we will ask you to do an analysis like this, and discuss in in the exam.
The deadline for handing in is the end of March 30th.
Module 11: GLMs (week beginning March 23rd)
- Exercise 9 (hand in by end of April 6th)
Module 12: Binomial Generalised Linear Models (week beginning 30th March)
- Exercise 10 (hand in by end of April 13th. This is before Easter week starts, so grading may be a bit delayed)
Module 13: Poisson Generalised Linear Models (week beginning 7th April)
- Exercise 11 (hand in by end of April 28th: note a couple of extra days, because of Easter)