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Computational Finance

Please note that the following information may be subject to change.

Programme: Undergraduate

Module Code: N12614

Semester: Spring

Convenor: Thanaset Chevapatrakul

Credits & Level: 10 credits; Level 2

Pre-requisites: N11605 (Business Finance) and N12403 (Financial Management).

Co-requisites: None.

Target Students: Available to all Part I and Part II Business School students and Joints/Minors students with the relevant pre-requisites N11605 Business Finance and N12403 Financial Management.

Delivery: 11 two-hour lectures, 5 one-hour computer lab workshops

Assessment: One 1.5-hour examination (100%)

Exam Format:Answer TWO questions from a choice of FIVE questions. Each question carries equal marks.

Summary of Content The module stresses the fundamentals of finance; provides students with a knowledge and understanding of the key finance subjects such as money market, return metric, portfolio models, asset pricing models etc. It equips students with the essential techniques applied in financial calculations. The course will also integrate application areas in finance which have already been introduced to the student, or which are being introduced to students concurrently.

Aims To provide students with the skills and ideas necessary to implement basic computational approaches to financial problems.

Key Words: Computational Finance

Learning Objectives & Outcomes Knowledge and understanding
This module develops a knowledge and understanding of:
  • The sources, uses and management of finance
  • The use of accounting and other information systems for managing financial risk
  • The comprehension and use of relevant communications for application in business and management, including the use of digital tools
  • 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.
Intellectual skills
This module develops:
  • The ability to analyse facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions
  • 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
Professional practical skills
This module develops:
  • Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena



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Nottingham University Business School

Jubilee Campus
Nottingham
NG8 1BB

telephone: +44 (0) 115 846 6602
fax: +44 (0) 115 846 6667
email: business-enquiries@nottingham.ac.uk