Advanced Topics in Stochastic Models (MAST90112)

Graduate courseworkPoints: 12.5Not available in 2025

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Overview

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This subject develops the advanced topics and methods of stochastic processes and discusses possible applications of the models covered in the course. It serves to prepare students for research in Probability Theory. The specific content will vary depending on the subject coordinator.

Intended learning outcomes

After completing this subject students should:

  • demonstrate an understanding of the fundamental modern mathematical techniques used to analyse such models;
  • extend their ability to analyse mathematical models for real-life situations involving uncertainty;
  • be prepared to pursue further studies in this and related areas.

Generic skills

In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:

  • problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
  • analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
  • collaborative skills: the ability to work in a team;
  • time-management skills: the ability to meet regular deadlines while balancing competing commitments.

Last updated: 4 March 2025