Study programmeFrançais
Stochastic Modelling (List A)
Programme component of Master's Degree in Mathematics à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-029-MOptional UEGROSSE-ERDMANN KarlS844 - Probabilité et statistique
  • GROSSE-ERDMANN Karl

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français30030009.00100.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-MATH-040Stochastic Modelling3003000Q2100.00%
Unité d'enseignement

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.
  • 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 continuous-time stochastic processes

Content of UE

- Continuous-time martingales
- Brownian motion
- Itô integral
- Stochastic calculus
- Stochastic differential equations
- Applications in finance
 

Prior Experience

Good knowledge of the course of Probability and Statistics III

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Oral Examination
  • Quoted exercices

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Not applicable

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-MATH-040
  • Cours magistraux
  • Conférences
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-MATH-040
  • Face to face

Required Reading

AA
S-MATH-040

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-MATH-040Exercise sheets

Recommended Reading

AA
S-MATH-040

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-MATH-040Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-MATH-040Léonard Gallardo, Mouvement brownien et calcul d'Itô : Cours et exercices corrigés, Hermann
Fima C. Klebaner : Introduction to stochastic calculuswith applications, 3ème édition, Imperial College Press
Karatzas, Ioannis, Shreve, Steven E., Brownian Motion and Stochastic Calculus, Springer

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-MATH-040Autorisé
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be