Postgraduate Course: Stochastic Control and Optimization (MATH11133)
Course Outline
| School | School of Mathematics | 
College | College of Science and Engineering | 
 
| Course type | Standard | 
Availability | Not available to visiting students | 
 
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | 
Credits | 10 | 
 
| Home subject area | Mathematics | 
Other subject area | None | 
   
| Course website | 
None | 
Taught in Gaelic? | No | 
 
| Course description | The course presents an introduction to control theory, to a very active area of research, both in pure and applied mathematics. The aim is to learn the basics of the mathematical theory, and to understand some real-world applications, primarily in finance and economics. It offers an opportunity to see the connections between different fields, (controlled dynamical systems, optimization, onlinear PDEs), and the underlying ideas unifying them. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  For admission to this course, a good understanding of probability at undergraduate level is required.  If in doubt, please consult with the Course Organiser. | 
 
| Additional Costs |  None | 
 
 
Course Delivery Information
| Not being delivered |   
Summary of Intended Learning Outcomes 
- Knowledge of controlled Markov chains. 
- Knowledge of, and a critical understanding of, the theory of optimal stopping in discrete time and continuous time. 
- Knowledge of, and a critical understanding of, Hamilton-Jacobi-Bellman equations. 
-  Knowledge of, and a critical understanding of, variational inequalities. 
- Understanding of, and critical assessment of, optimal investment-consumption problems. | 
 
 
Assessment Information 
| Examination 100% |  
 
Special Arrangements 
| MSc Financial Modelling and Optimization and MSc Mathematics students only. |   
 
Additional Information 
| Academic description | 
Not entered | 
 
| Syllabus | 
- Discrete time case: Controlled Markov chains, backward induction, 
optimal stopping in discrete time.  
- Continuous time case: Controlled ODEs, Controlled diffusion processes, Bellman principle, Hamilton-Jacobi-Bellman equations, optimal stopping in continuous time, variational inequalities, Calculating American options in the Black Scholes model, Optimal investment-consumption problems. 
 | 
 
| Transferable skills | 
Not entered | 
 
| Reading list | 
- H. Pham: Continuous-time stochastic control and optimization with financial applications, Series SMAP, Springer 2009. 
- H. M. Soner: Stochastic Optimal Control in Finance, Edizioni della 
Normale, 2007. 
 | 
 
| Study Abroad | 
Not entered | 
 
| Study Pattern | 
Not entered | 
 
| Keywords | SCO | 
 
 
Contacts 
| Course organiser | Dr Sotirios Sabanis 
Tel: (0131 6)50 5084 
Email: S.Sabanis@ed.ac.uk | 
Course secretary | Mrs Julie Hands 
Tel: (0131 6)50 4885 
Email: Julie.Hands@ed.ac.uk | 
   
 
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