Beskjeder
Here are some examples of questions that could have been given (in some similar form) at a written exam: /studier/emner/matnat/ifi/INF-STK5010/v14/exercises/exam-example-questions.pdf
Assignment 2 is to read What is principal component analysis? by Markus Ringnér. This will be like a self-study; there will be no delivery of assignment 2 but you might get question from it on the exam.
There will be no exercises this week due to the work with oblig 1. If you have any questions regarding oblig 1, please email Ole Christian (ole@ifi.uio.no).
The first obligatory assignment is now available under Excercises. The submission deadline is 12 March. If you need an extension of the deadline, please apply to Ole Christian (ole@ifi.uio.no) and give the reason and when you expect to able to submit.
Exercises from the first lecture on clustering are now available.
Professor John Quackenbush will give the talk "The Network Effect: Integrative Systems Approaches to Modelling Biological Processes" in Auditorium Simula, Ole-Johan Dahls hus, University of Oslo campus at 14.15.
You can get help with exercise 1 and 2 in Store Aud after the talk and until 17.00
INF-STK 5010/INF-STK 9010 has an overlap of 3 credits with STK 4030 and STK 9030. It is possible to take a Special Syllabus with 3 credits if needed. If so, write an email to anjab@ifi.uio.no
To attend the exercises you need a laptop with the most recent version of the R statistics package installed.
- If you are working on a Windows laptop that has been set up by UiO local IT or USIT, open the directory P:\gratis\statistikk\r and double click on uioCurrentSetup.bat. Wait until R has been properly installed (a minute or two)
- For all other computers, download and install R from a CRAN mirror site, for example from http://cran.uib.no
Run R and make sure it works, for example by trying this command:
pie(c(5,10,12), c("five","ten","twelve"), col=c("white","blue","red")
First lecture will be January 15th 12.15 – 16.00. It will be in Store Auditorium, Kristen Nygaards hus. We start with a general introduction to the course before the first two hours will be a biological introduction while the next two hours will be an introduction to programming in R.