MA400     
September Introductory Course (Financial Mathematics)

This information is for the 2016/17 session.

Teacher responsible

Dr Tugkan Batu and Dr Christoph Czichowsky

Availability

This course is compulsory on the MSc in Financial Mathematics and MSc in Risk and Stochastics. This course is available with permission as an outside option to students on other programmes where regulations permit.

Course content

The purpose of this course is to review some key concepts of finance and probability and to discuss a range of mathematical definitions and techniques that set the agenda for the Financial Mathematics MSc as a whole. Also, this course will incorporate an introduction to programming with C++. This course is composed of two components: The first component is concerned with the common mathematical background that is assumed by the MSc Financial Mathematics and addresses some aspects of the mathematical theory that is central to the foundations of the programme: a review of sets and set operations, functions and inverse functions is first developed; probability spaces, random variables, distributions, expectations and moment generating functions are then discussed; special emphasis is placed on the binomial, the normal and the log-normal distributions; the concepts of conditional probability and conditional expectation as random variables are introduced using intuitive arguments and simple examples; stochastic processes, martingales, the standard Brownian motion and the Poisson process are introduced; Itô's formula and Girsanov's theorem are discussed on a formal basis. The second component is an introduction to programming with languages such as C++.

Teaching

40 lectures and classes over two weeks during September, prior to the start of the academic year, and 3 support lectures in MT. There will be an informal examination (this is for the maths component only).

Formative coursework

Exercises are assigned and form the basis of class discussion.

Indicative reading

Lecture notes will be provided for the mathematics component of this module. For the programming elements of the pre-sessional, we will use Derek Capper, Introducing C++ for Scientists, Engineers and Mathematicians, Springer 2001. For those with prior programming experience, a standard reference book on the C++ programming language is Bjarne Stroustrup, The C++ Programming Language, Addison Wesley, 1997.

Assessment

This course does not form part of the degree award.

Key facts

Department: Mathematics

Total students 2015/16: 7

Average class size 2015/16: Unavailable

Controlled access 2015/16: No

Value: Non-assessed

Guidelines for interpreting course guide information