Beskjeder
Dear All,
the final curriculum is as follows:
Chapter 1: sections 1.1-1.5
Chapter 2: sections 2.1-2.2, 2.3.1, 2.3.2, 2.4, 2.5
Chapter 3: sections 3.1, 3.2, 3.3, 3.4, 3.5, 3.7.1-3.7.2
Chapter 6: sections 6.1, 6.2.1-6.2.5, 6.3.1-6.3.2, 6.3.4-6.3.5, 6.5.1-6.5.3, 6.6
Chapter 7: sections 7.1-7.3
Moreover, the curriculum covers the presentation. Note that the calculation of reserves as in the presentation (Premium Provision, Claim Provision, Liability for unearned exposure) will be on the exam
The plan for the last week of teaching is following:
On Monday, November 20th, we will look at the exam from last year.
On Wednesday, November 22nd, most likely I will be available for your questions. Alternatively, I can hold an outside curriculum lecture on the subject loosely related to the course.
The final curriculum will be published in the week November 13-19th
As mentioned on the lecture, I made the instruction in the Ex. 2 more precise. Moreover, I was made aware that you have only one attempt to solve it, according to the latest guidelines. All changes are marked in bold.
Helena Aisha T?mmer?s (helenaat@math.uio.no) was kind enough to become "tillitsvalgt" for this course. If you have any comments to the course and you don't want to write to me directly, please, take contact with her.
Thanks again Helena for your help :)
Hi,
on Monday we will do exercise 2.6, 2.9, 2.10, 2.11, 2.12 from the second set of exercises as well as we will start the third set of exercises
Norwegian Students' Actuarial Association would like to presents themselves and invite you to become their members. If you are interested, you can watch their recruitment video:
https://photos.google.com/share/AF1QipN4fCi6TNR_kEAtBwCAswDfjsLdAh-IQAIkLM7svvK0HjQbWenzt84WR74BshzrHQ?key=QmZTYkt2YklFVEZ2YUFBeDdQT2ZuMjE2MlR4WjRn
Unfortunately, I didn't get better yet and I must cancel the lecture tomorrow. We will continue with the Lecture 3 on Monday. Sorry for that
I have just uploaded exercises for Monday. It is a jupyter notebook in R. The easiest way to open it is to install Anaconda, install in it an R-environment and run it in Jupyter Notebook from Anaconda. I can show how to do it in case you have some problems. See you on Monday!