AC4002: Introduction to Quantitative Methods

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Please note this module descriptor is indicative of the structure of this course and may be subject to change.

AC4002: Introduction to Quantitative Methods

Module Title Introduction to Quantitative Methods
Module Code AC4002
Module Tutor Xiaoling Hu
School Business School
CAT Points 15
Level of Study 4
Brief Description

This module equips students with a variety of technical and analytical skills that will be of use to them in their studies at subsequent levels. It also concentrates on those features of quantitative analysis which are of immediate relevance and aims to increase students’ confidence in their application. The context is the use of quantitative techniques in the financial and managerial decision-making processes, including financial mathematics, project planning and the collection, analysis and interpretation of data, including the use of spreadsheets and statistics software. The emphasis will be on problem solving in a variety of different areas.

Indicative Syllabus

The module will cover: financial mathematics (compound growth, discounting, APR, evaluation of capital projects); index numbers (price relatives, weighted indices, CPI and RPI); planning production levels (linear programming); project planning (network analysis); breakeven analysis; elementary probability (basic rules of probability, expected value, decision trees, introduction to hypothesis testing); collecting, presenting, analysing and interpreting data (including sampling methods, graphs, charts, basic statistical measures) to produce management information; investigating relationships between variables (correlation, regression using two variables with an introduction to multiple regression); forecasting (time series analysis).

Learning Outcomes

A student passing this module should be able to:

1.       Apply basic financial mathematical techniques; (PLO3)

2.       Evaluate and plan projects, using graphical linear programming, breakeven analysis and network analysis; (PLO3)

3.       Apply various statistical techniques and the calculation of probabilities and the use of hypothesis testing to a range of financial management problems; (PLO3)

4.     Develop problem solving skills; (PLO5)

Develop communication and group work skills through coursework.(PLO9)

Learning and Teaching Activities Scheduled Contact Hours: 36
Independent Learning Hours: 114
Assessment (For further details see the Module Guide) 001: 50% Coursework: Individual, standard written: Coursework: Individual, standard, written: 1,000 words or equivalent
002: 50% Written Exam: End of modu, digital: 1.00 hours
Special Assessment Requirements
Indicative Resources The current reading list can be found in the Module Guide, which your lecturer should make available via Moodle.

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