Quantitative Methods 1a
| Code | School | Level | Credits | Semesters |
| BUSI1037 | Nottingham University Business School | 1 | 10 | Autumn Malaysia |
- Code
- BUSI1037
- School
- Nottingham University Business School
- Level
- 1
- Credits
- 10
- Semesters
- Autumn Malaysia
Summary
- Numbers
- Algebra
- Functions
- Equations
- Exponents
- Logarithms
- Descriptive Statistics
- Differentiation
- Optimisation
- Integration
Target Students
Subject to meeting the pre-requisites,only available to qualifying year Business School students. This module is an introductory course to maths and statistics not intended for those with at least A-Level maths Grade C or equivalent.There is a limited places .Students are reminded that enrolments not agreed by the module convenor will be cancelled without notice.This module is offered to students that has taken GCSE Mathematics Grade B or Equivalent.
Classes
- One 1-hour workshop each week for 4 weeks
- One 2-hour lecture each week for 5 weeks
- One 2-hour lecture each week for 6 weeks
Assessment
- 20% Coursework 1: Workshop Exercises
- 80% Exam 1 (1-hour-30-minute): One 1.5-hour examination
Assessed by end of autumn semester
Educational Aims
The module introduces students to the mathematical prerequisites for the understanding of the quantitative components of economics and business.Learning Outcomes
Knowledge and understanding
This module develops a knowledge and understanding of:
- Relevant quantitative techniques, including mathematical and statistical methods. Economic data and its appreciation.
Intellectual skills
This module develops:
- Effective quantitative problem-solving and decision-making skills.
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:
- Self-management and a readiness to accept responsibility and flexibility, to be resilient, self-starting and appropriately assertive, to plan, organise and manage time.
Conveners
- Dr Hsin Vonn Yvonne Seow
- Dr Moe Chit Myint