Kaisa_2012_3_photo by Veikko Somerpuro

Insurance mathematics is often split into two parts: life insurance mathematics and non-life insurance mathematics. The course Tariff theory focuses on topics concerning pricing of insurance contracts in non-life insurance mathematics.

The concepts of the course rely heavily on probability. It is recommended to take advanced courses Probability theory I-II and course MAST31802 Risk theory before taking Tariff risk theory.

Enrol

Interaction

We will use Piazza discussion platform during this course. If you do not have helsinki.fi address, please send me an email to jaakko.lehtomaa 'at' helsinki.fi so that I can add your email address manually.

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 9.3.2020
16:15 - 18:00
Tue 10.3.2020
16:15 - 18:00
Mon 16.3.2020
16:15 - 18:00
Tue 17.3.2020
16:15 - 18:00
Mon 23.3.2020
16:15 - 18:00
Tue 24.3.2020
16:15 - 18:00
Mon 30.3.2020
16:15 - 18:00
Tue 31.3.2020
16:15 - 18:00
Mon 6.4.2020
16:15 - 18:00
Tue 7.4.2020
16:15 - 18:00
Mon 20.4.2020
16:15 - 18:00
Tue 21.4.2020
16:15 - 18:00
Mon 27.4.2020
16:15 - 18:00
Tue 28.4.2020
16:15 - 18:00

Other teaching

20.03. - 03.04.2020 Fri 12.15-14.00
17.04. - 24.04.2020 Fri 12.15-14.00
Jaakko Lehtomaa
Teaching language: English

Description

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

Probability theory, Risk theory

Stochastic analysis, I,II

Pricing of non-life insurance contracts

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

Deductibles, Collective premium, Crediblility theory, Exponential smoothing, Bonus systems, Premiums and solvency

Lecture notes

Lectures and exercise classes

Exam and excercises, Course will be graded with grades 1-5

Exam, other methods will be described later