Stochastic Calculus and Numerical Analysis
| Code | School | Level | Credits | Semesters |
| BUSI3124 | Nottingham University Business School China | 3 | 10 | Spring China |
- Code
- BUSI3124
- School
- Nottingham University Business School China
- Level
- 3
- Credits
- 10
- Semesters
- Spring China
Summary
PRE-REQUISITE
Please note that for this module, the following pre-requisite applies:
BUSI3119 Advanced Calculus for Business, Economics and Finance
(Please ignore Requisites: N/A below)
This module will introduce students to the foundation of stochastic calculus and numerical analysis, including introduction to computational hardware and computer representation of numbers, error sources and propagation, iterative algorithm for inverse of matrices, root-finding for nonlinear equations, interpolation, numerical integration, numerical methods for ordinary differential equation; Martingales and Brownian motion, stochastic Integrals, stochastic differential equations, Ito's Lemma, applications of stochastic calculus.
Re-assessment format is decided by the school.
Target Students
Part II (Year 4) students with the required pre-requisites.Subject to meeting the pre-requisites, available to all Business School students and to all other students with approval from their home School and the Business School.
Classes
- One 1-hour seminar each week for 8 weeks
- One 1-hour-30-minute lecture each week for 10 weeks
Assessment
- 100% Exam 1 (1-hour-30-minute): One 1.5-hour examination
Assessed by end of spring semester
Educational Aims
The primary goal of this module is to equip the students with advanced quantitative analysis knowledge and skills used in quantitative finance and economic analysis.Learning Outcomes
•The use of risk management techniques and business continuity planning to help maximise achievement of strategic objectives on the economic, social and environmental conditions of the future
•The ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making
•Conceptual and critical thinking, analysis, synthesis and evaluation
•Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena
•Communication and listening including the ability to produce clear, structured business communications in a variety of media.
•Self-management and a readiness to accept responsibility and flexibility, to be resilient, self-starting and appropriately assertive, to plan, organise and manage time
•Articulating and effectively explaining information
Conveners
- Dr Qingfeng Wang