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I will be taking a round on todays exam in the time period 17-17.30.
Good luck today!
Ida
Some practical information for the exam
- The Appendix that will be attached to the exam paper can be seen here
- Overview of approved calculators: /studier/eksamen/hjelpemiddel/mn-math-kalkulatorer.html
- The paper that you write on consists of several layers (to make copies for the external examinator), so write with a pen, 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.
The extra exam group session on Thursday December 1st will be held 12.30-13.30 in room 819 in NHA.
In week 47 we will focus on some previous exam exercises, in both the lectures and the group session, see the lecture and weekly exercises plans.
In week 48 there will be an extra exam group session 13.15-14.00 on Thursday December 1st in room 819 in NHA.
The physical lecture today Wednesday 9/11 is cancelled. You can find the recording in the schedule or here, and an additional comment here
Next week, there will be a group session on Wednesday 2.November 12.15-14 and lectures Friday 4. November 10.15-12.00. Per August may be a little late to the group session on Wednesday. On Tuesday there will be a regular lecture.
The lecture today will also be digital in form of a recording that can be found here
The lecture today will be digital. You can find the recording in the schedule or here (it was delayed because of some technical difficulties with publishing it).
The second mandatory assignment is now published. It has to be handed in before 14.30, November 10th. Please read and follow carefully all the instructions.
Note: The background material for problem 1 will be covered by the lectures next week.
The deadline for the second mandatory assignment is postponed one week to November 10th. It will still be available from Thursday October 20th.
On 19 October 2022, 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 young data scientists from Spotify, the Alan Turing Institute, 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 your attendance. You can register and read more about the event here.
There has been a mistake in the publishing om weekly exercises, so unfortunately the exercises for this past week (week 39) were not published before now. So now exercises for both week 39 and next week (week 40) are published. Important that you try your best to work through them!
In order to get the assignment accepted you need to fulfil the following requirements:
- Made a real attempt on all (sub-)questions
- Give satisfactory answers in at least 60% of the (sub-)questions
- Include relevant R outputs in your report
In the first version published of the first mandatory assignment this morning, there was a mistake in the instructions regarding the number of attempts. This is now corrected. Note that you have only one attempt to pass the assignment. This means that there are no second attempts.
The first mandatory assignment is now published. It has to be handed in before September 29th at 14.30, in Canvas. Please read and follow carefully all the instructions.
Week 37: Friday September 16th there will be a lecture instead of group session 10.15-11.00. There will be no teaching 11.15-12 that day.
Week 38: Tuesday September 20th there will b a group session instead of a lecture 10.15-11.00.
Hi all,
Suggested solutions to the exercises of last week have now been published. You can find them by clicking "Solutions for weekly exercises". Send me an email (pamoen at math dot uio dot no) if you cannot find them!
From next week the solutions will be written in Latex.
Per August
You can find a screencast of a lecture of the start of Chapter 2 here
You can find a screencast of a lecture of the rest of Chapter 1 here
Due to illness, todays physical lecture has to be cancelled. I will try to make a digital recording as a replacement as soon as possible.
Ida
We will have lectures on Tuesday 23rd 10.15-11.00 and Wednesday 24th 12.15-14.00. On Friday 26th 10.15-12.00 there will be an exercise class, where you can get help solving the weekly exercises, concerning material lectured that week.
On the semester page, a plan for the lectures is published in the 'Lecture plan' under 'Lectures' on the semester page, and the weekly exercises will be published under "Weekly exercises' under 'Exercises'.
Looking forward to seeing you on Tuesday!
Ida
The teaching will consist of 3 hours of lectures (Tuesdays and Wednesdays) and 2 hours of exercise classes (Fridays) each week.
We will use the same 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.
I will update the semester page with more information before the semester starts.
Looking forward to seeing you on August 23rd!
Ida