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Actuarial Mathematics

Some basic information about the module

Cycle of education: 2019/2020

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Mathematics

The area of study: sciences

The profile of studing:

The level of study: first degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Economics

The degree after graduating from university: bachelor's degree

The name of the module department : Departament of Mathematical Modelling

The code of the module: 1062

The module status: mandatory for teaching programme Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 6 / W30 C15 / 2 ECTS / Z

The language of the lecture: Polish

The name of the coordinator: Liliana Rybarska-Rusinek, DSc, PhD

office hours of the coordinator: podane w harmonogramie pracy jednostki.

The aim of studying and bibliography

The main aim of study: To acquaint students with the basics of insurance mathematics and familiarize them with the simplest models of risk.

The general information about the module: The module is implemented in the sixth semester. It consists of 30 hours of lectures and 15 hours of tutorials.

Bibliography required to complete the module
Bibliography used during lectures
1 P. Kowalczyk, E. Poprawska, W. Ronka-Chmielowiec Metody aktuarialne Wydawnictwo Naukowe PWN, Warszawa. 2006
2 T. Michalski, K. Twardowska, B. Tylutki Matematyka w ubezpieczeniach, jak to wszystko policzyć Wydawnictwo Placet, Warszawa. 2005
Bibliography used during classes/laboratories/others
1 S. Wieteska Zbiór zadań z matematycznej teorii ryzyka ubezpieczeniowego Wydawnictwo Uniwersytetu Łódzkiego,. 2001
Bibliography to self-study
1 A. Wiliams, H. Smith, P. Young Zarządzanie ryzykiem a ubezpieczenia Warszawa. 2002.

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student satisfies the formal requirements set out in the study regulations

Basic requirements in category knowledge: Basic knowledge in fields of probability and statistics.

Basic requirements in category skills:  Ability to use the basic mathematical apparatus for the probability and statistic. Zaloguj Zaloguj Zaloguj Zaloguj

Basic requirements in category social competences: Willingness to take objectively justified mathematical operations in order to solve the task

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
01 student is able to give examples of random variables used in insurance risk theory: both discrete and continuous and to calculate the parameters of these variables Lectures, classes written test K_U30+
K_U31+
P6S_UK
P6S_UO
P6S_UU
P6S_UW
02 knows the theoretical basis for the individual risk model, can determine the parameters of the aggregate claims distribution and uses the central limit theorems for estimating the probabilities Lectures, classes written test K_W01+
K_W02+
K_W03+
K_W04+
K_U33+
P6S_UW
P6S_WG
P6S_WK
03 knows the theoretical basis for the collective risk model, can determine the parameters of the aggregate claims dystribution Lectures, classes written test K_W03+
K_U32+
K_U33+
K_U34+
K_K01+
P6S_KK
P6S_UW
P6S_WG
P6S_WK
04 can use the classic methods to calculate net premium Lectures, classes written test K_U31+
K_U33+
K_K01+
P6S_KK
P6S_UK
P6S_UO
P6S_UU
P6S_UW

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
6 TK01 Probability: random variable, probability distribution, distribution function, the Riemann–Stieltjes integral, moments, conditional expectation, distribution of a sum of independent random variables., the moment-generating function, approximation for the distribution of sums of independent random variables. Selected probability distributions i) continuous: Pareto, lognormal, Weibull, uniform, exponential and ii) discrete: binomial, Poisson, negative binomial. W01, W02, W03, W04, W05, C01, C02, C03 MEK01
6 TK02 Risk as a subject of insurance. Insurable and non-insurable risks. Types of risk : personal and estate, insurance risk measures, catastrophic risk. Individual risk models for short term. General assumptions and examples. Collective risk models for a single period. W06, W07, W08, W9, W10, W11, C04, C05, C06 MEK01 MEK02 MEK03
6 TK03 Premium calculation principles: pure risk premium, premium with safety (security) loading. W12, W13, W14, W15, C07, C08 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 6) contact hours: 30.00 hours/sem.
complementing/reading through notes: 2.00 hours/sem.
Class (sem. 6) The preparation for a Class: 3.00 hours/sem.
The preparation for a test: 5.00 hours/sem.
contact hours: 15.00 hours/sem.
Finishing/Studying tasks: 2.00 hours/sem.
Advice (sem. 6) The participation in Advice: 1.00 hours/sem.
Credit (sem. 6) The written credit: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture Presence on lectures.
Class The grade is the mean of grades obtained for two written tests. This grade may be increased if the student demonstrates the activity on the classes.
The final grade The final grade is the grade for knowledge obtained in classes

Sample problems

Required during the exam/when receiving the credit
Przykładowe_kolokwium.pdf

Realized during classes/laboratories/projects
Przykładowe_zadania_cw.pdf

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: no