Messages
- NB: The paper that you write on consists of layers (to make copies for the external examinator), so write with some force (not too loosely), and don't use a corrector pen. If you make a mistake, cross over the mistake (or take a new sheet of paper) and write again. Check that the copy is readable for the examinator!!!
- The Appendix that will be attached to the exam paper can be seen here
- Overview of approved calculators kan be found here
Today’s lecture (Thursday November 16th) is cancelled due to illness
Because there was a misprint on the front page of the second mandatory assignment (it said Thursday 10th November instead of 9th), the deadline is extended until today (10th November) at 23.30.
We are almost finished going through the curriculum. Next Tuesday we will start by going through the last part (only 3 slides), then continue by going through some exam problems from previous years (see lecture plan for which exam problems). This we continue on Thursday. In week 47 there will be no lectures. On Friday November 24th there will be an "Oracle our" group session, with both Ida and Per August available to answer questions connected to the curriculum.
The second mandatory assignment is now published. It has to be handed in before November 9th at 14.30, in Canvas. Please read and follow carefully all the instructions.
Today, Tuesday October 10th, the lecture will be in room 108!
Hi all,
The solution to Additional Exercise 14 (from week 38) has been updated. The previous solution was in fact correct, but the new one gives more details.
PA
The lecture September 26th will be digital in Zoom, via Canvas
On 19 October 2023, the dScience centre welcomes students and the data science community to an evening of socialization, learning and entertainment. Food will be served, and we will be hearing exciting talks from data scientists from Spoor, Analyse & Tall, and the University of Oslo. Doors open at 17.00, and the event is free and open to all audiences.
We have invited a wide range of relevant companies to set up stands where they can present themselves to our guests. This is a unique opportunity for students at all levels to connect with potential future employers.
To ensure that we have enough food, we kindly ask all participants to register their attendance. You can register and read more about the event here!
The first mandatory assignment is now published. It has to be handed in before September 28th at 14.30, in Canvas. Please read and follow carefully all the instructions.
All relevant theory for Problem 1 has been lectured. For Problem 2, most of the relevant theory will not be lectured before next week (week 38).
Dear all,
Solutions to the weekly exercises will be published shortly after each group session. From next week the solutions will be written in Latex.
You can find the exercises by scrolling down the semester page and clicking Solutions to weekly exercises (or follow this link).
Looking forward to see you in-person next week!
Per August
The plan and slides for the first week of lectures are published here. NB: The material in section 1.2 of the textbook should be known from previous courses and will not be discussed in the the lectures. You are expected know/read this material before the lecture.
Welcome!
Ida :)
Hi everyone, and welcome to the course!
Due to my attendance at a conference next week, the first plenary session scheduled for Friday, August 25th, will be conducted virtually through Zoom. Please join via this link: https://uio.zoom.us/j/62659942280
The remaining plenary sessions/group sessions on Fridays will be in person!
Per August
The teaching will each week consist of 3 hours of lectures (Tuesdays and Thursdays) followed by 2 hours of exercise classes on Fridays, where you can get help solving the weekly exercises, concerning material lectured that week.
On the semester page, plans for the lectures will be published on the 'Lecture plan' under 'Lectures' on the semester page, and the weekly exercises will be published on "Weekly exercises' under 'Exercises'.
We will use the text book: Alan Agresti: Foundations of Linear and Generalized Linear Models. Wiley, 2015. ISBN: 978-1-118-73003-4. A useful (optional) supplementary is "Generalized Linear Models with examples in R" by Peter Dunn and Gordon Smyth, which can be accessed from this link if you are connected to the uio net.
Looking forward to seeing you on August 22nd!
Ida