Study programme 2019-2020Français
Seminar: Risk Theory (List A)
Programme component of Master's in Mathematics à la Faculty of Science

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-028-MOptional UEGROSSE-ERDMANN KarlS844 - Probabilité et statistique
  • GROSSE-ERDMANN Karl

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français300300099.00Full academic year

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-MATH-041Seminar: Risk Theory3003000A100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Have integrated and elaborate mathematical knowledge.
    • Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
    • Use prior knowledge to independently learn high-level mathematics.
    • Research mathematical literature in an efficient and relevant way.
    • Read research articles in at least one discipline of mathematics.
  • Carry out major projects.
    • Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
    • Give constructive criticism on the quality and progress of a project.
    • Work in teams and, in particular, communicate effectively and with respect for others.
    • Appropriately use bibliographic resources for the intended purpose.
    • Present the objectives and results of a project orally and in writing.
  • Communicate clearly.
    • Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
    • make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.
  • Adapt to different contexts.
    • Have developed a high degree of independence to acquire additional knowledge and new skills to evolve in different contexts.
    • Critically reflect on the impact of mathematics and the implications of projects to which they contribute.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

Introduction to the theory of non-life insurance mathematics

Content of UE

- The basic model
- Poisson processes
- Birth processes
- Premium principles
- Ruin probability
- Re-insurance
 

Prior Experience

Good knowledge of the courses of Probability and Statistics I and II

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Presentation and/or works

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-MATH-041
  • Cours magistraux
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-MATH-041
  • Face to face

Required Reading

AA
S-MATH-041

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-MATH-041Not applicable

Recommended Reading

AA
S-MATH-041

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-MATH-041Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-MATH-041Michel Denuit, Arthur Charpentier : Mathématiques de l'assurance non-vie : Tome 1, Principes fondamentaux de théorie du risque, Economica
Michel Denuit, Jan Dhaene, Marc Goovaerts, Rob Kaas : Actuarial theory of dependent risks: measures, orders and models, John Wiley
Rob Kaas, Marc Goovaerts, Jan Dhaene, Michel Denuit : Modern actuarial risk theory : using R, Springer
Roger J. Gray, Susan M. Pitts : Risk modelling in general insurance, Cambridge University Press

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-MATH-041Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 13/07/2020
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Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be