Quantitative Methods 2A
| Code | School | Level | Credits | Semesters |
| BUSI2105 | Nottingham University Business School China | 2 | 10 | Autumn China |
- Code
- BUSI2105
- School
- Nottingham University Business School China
- Level
- 2
- Credits
- 10
- Semesters
- Autumn China
Summary
PRE-REQUISITE
Please note that for this module, the following pre-requisite applies:
BUSI1074 Quantitative Methods 1b
(Please ignore Requisites: N/A below)
This module contains:
Further probability and statistics including linear regression, linear algebra, constrained optimisation and comparative statistics with applications to business and economics.
Re-assessment format is decided by the school.
Target Students
Compulsory for FAM and IBE students.There is a limited number of places on this module. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.
Classes
- One 1-hour workshop each week for 4 weeks
- One 2-hour lecture each week for 11 weeks
Assessment
- 100% Exam 1 (2-hour): One 2 hour examination
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.
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 analyze such data.
Conveners
- Dr Youzong Xu