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Quantitative Methods 1b

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

Programme: Undergraduate

Module Code: N11127

Semester: Spring

Convenor: David Paton

Credits & Level: 10 credits; Level 1

Pre-requisites: N11124 (Quantitative Methods 1a) or Grade C or above at 'A' level Maths or equivalent.

Co-requisites: None.

Target Students: Available to all Business School students and Joints/Minor students with the relevant pre-requisite of N11124 Quantitative Methods 1a.

Delivery: 10 two-hour lectures per week and 8 workshops, one per week.

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

Exam Format:Answer All questions. Questions carry different marks. Paper contains Six questions.

Summary of Content Economic application of calculus

Confidence intervals

Introduction to hypothesis testing

Partial differentiation

Optimisation of two variables

Probability

Random Variables

Sampling Distributions

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

Key Words: multivariate calculus; probability; random variables; hypothesis tests.

Learning Objectives & Outcomes Knowledge and understanding
This module develops a knowledge and understanding of:
  • The use of accounting and other information systems for planning, control, and decision making
  • The comprehension and use of relevant communications for application in business and management, including the use of digital tools
  • Relevant quantitative techniques, including mathematical and statistical methods. Economic data and its appreciation.
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
  • 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
Transferable (key) skills
This module develops:
  • Articulating and effectively explaining information
Knowledge and understanding (Industrial Economics)
This module develops a knowledge and understanding of:
  • The applications of economics. To discover how to apply relevant economic principles and reasoning to a variety of applied topics, in particular in the fields of industrial organisation and managerial economics.
  • Understanding of distinctive economic theories, interpretations and modelling approaches, and their competent use
  • 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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