Stochastic Analysis


Recommended prerequisite for participation in the module

The module builds on knowledge obtained by the modules Linear Algebra with Applications, Analysis 1, Analysis 2, and Probability Theory.

Content, progress and pedagogy of the module

Learning objectives


  • know how to rigorously formulate concepts from probability theory by means of measure and integration theory, in particular, how to express information through sigma-algebras and how to define and employ conditional expectations
  • know about stochastic processes in discrete and continuous time
  • know about Wiener processes
  • know about martingales
  • know about stochastic integrals, Itô’s formula and Girsanovs theorem


  • are able to understand and apply the rules of Itô's stochastic calculus
  • are able to conduct a change of measure for a martingale


  • are able to formulate mathematical results in a correct manner by means of measure-theoretical and probabilistic argumentation
  • are able to apply and mediate basic mathematics and theory related to stochastic processes
  • able to gain additional knowledge regarding probability theoretical subjects related to stochastic processes and their application in finance

Type of instruction

As described in §17 in the curriculum. 

Extent and expected workload

This is a 5 ECTS project module and the work load is expected to be 150 hours for the student.



Name of examStochastic Analysis
Type of exam
Written or oral exam
Permitted aidsDer henvises til den pågældende semesterbeskrivelse/modulbeskrivelse
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleStokastisk analyse
Module code22KMAT1STANL
Module typeCourse
Duration1 semester
Language of instructionDanish and English
Location of the lectureCampus Aalborg
Responsible for the module


Education ownerMaster of Science (MSc) in Mathematics-Economics
Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science