Quantitative Methods 2A
| Code | School | Level | Credits | Semesters |
| BUSI2010 | Business | 2 | 10 | Autumn UK |
- Code
- BUSI2010
- School
- Business
- Level
- 2
- Credits
- 10
- Semesters
- Autumn UK
Summary
Further maths and statistics including topics such as linear algebra, constrained optimisation, difference equations and hypothesis testing.
Target Students
Part I and II Business School undergraduate students who have taken BUSI1008 Quantitative Methods 1b. Also available to Exchange students.
Co-requisites
Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:
- Quantitative Methods 1b (BUSI1008)
- Quantitative Methods 1b (BUSI1039)
- Quantitative Methods 1b (BUSI1074)
Classes
- One 1-hour workshop each week for 8 weeks
- One 2-hour lecture each week for 10 weeks
Assessment
- 20% Coursework: Workshop Exercises
- 80% Exam (2-hour)
Assessed by end of autumn semester
Educational Aims
To develop key mathematical and statistical techniques and their application to problems and data.Learning Outcomes
Knowledge and understanding
This module develops a knowledge and understanding of:
- Relevant quantitative techniques, including mathematical and statistical methods.
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.
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