F11MT - Modelling and Tools
Course leader(s):
Aims
The course aims to provide postgraduate students with a knowledge and critical understanding of applied mathematics and tools for solving mathematical problems
Syllabus
1. Modeling dynamical processes
2. Graph theory
3. Probability theory
4. Markov chains and random walks
Learning outcomes
By the end of the course, students should be able to do the following:
- derive and interpret deterministic and probabilistic mathematical models
- understand and analyse graphs and networks
- determine the characteristic properties of different types of probability distributions
- analyse ordinary differential equations and determine the long-time behaviour of solutions
- implement numerical algorithms in an object-oriented programming language
- use existing libraries to solve differential equations numerically
Further details
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SCQF Level: 11
Credits: 15
