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Quantitative Methods 2A

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

Programme: Undergraduate

Module Code: N12406

Semester: Autumn

Convenor: David Paton

Credits & Level: 10 credits; Level 2

Pre-requisites: N11127 (Quantitative Methods 1b).

Co-requisites: None.

Target Students: Available to Part I and Part II Business School students and Joints/Minor students who have the required pre-requisite N11127 Quantitative Methods 1b.

Delivery: Two hours of lectures per week for 10 weeks, and 1 hour workshop per week for 8 weeks.

Assessment: One 1.5 hour examination (80%); Workshop Exercises (20%)

Exam Format:The exam contains Six questions. Answer all questions. Questions carry different marks.

Summary of Content Further maths and statistics including topics such as linear algebra, constrained optimisation, difference equations and hypothesis testing.

Aims To develop key mathematical and statistical techniques and their application to problems and data.

Key Words: Calculus; hypothesis testing; matrices

Learning Objectives & Outcomes Knowledge and understanding
This module develops a knowledge and understanding of:
  • Relevant quantitative techniques, including mathematical and statistical methods.
Intellectual skills
This module develops:
  • 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
Professional practical skills
This module develops:
  • Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena
  • Facility with key concepts used in decision making, including equilibrium, expectations and marginal analysis
Transferable (key) skills
This module develops:
  • Articulating and effectively explaining information
  • Subject-specific transferable skills including abstraction, analysis, and problem framing
Knowledge and understanding (Industrial Economics)
This module develops a knowledge and understanding of:
  • Mathematical methods for economics
  • Statistical methods for economics
  • The nature, sources and uses of quantitative data and an ability to select and apply appropriate methods that economists might use to analyse such data.



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Nottingham University Business School

Jubilee Campus
Nottingham
NG8 1BB

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email: business-enquiries@nottingham.ac.uk