Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Quantitative Business Techniques | |||
| Reference | BS2114 | Version | 9 |
| Created | December 2023 | SCQF Level | SCQF 8 |
| Approved | July 2019 | SCQF Points | 15 |
| Amended | March 2024 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To provide students with an understanding of, and the ability to apply, a range of statistical and management science techniques. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Undertake sampling methods and basic statistical techniques in business contexts. |
| 2 | Understand basic financial mathematics. |
| 3 | Distinguish techniques of risk management in decision-making progress. |
| 4 | Adapt data modelling and forecasting techniques in business contexts. |
| Indicative Module Content |
|---|
| Classification of variables, sampling; financial mathematics symbols, index number; data presentation and measurement; probability distribution; confidence intervals and hypothesis testing; Environmental, social, and corporate governance (ESG) ratings; maximax, maximin, and minimax; decision tree; bayesian analysis; time series; high-low method; simple and multiple linear regression; use of calculator and statistical software Minitab. |
| Module Delivery |
|---|
| Topics are introduced in lectures and developed in computer laboratories and in tutorials for which students are expected to undertake directed independent learning. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 30 | N/A |
| Non-Contact Hours | 120 | N/A |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | N/A |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Examination | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4 |
| Description: | Closed book examination | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| Component 1 comprises 100% of the module grade. To pass the module, a D grade is required. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | A |
| B | B |
| C | C |
| D | D |
| E | E |
| F | F |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | ANDERSON, D., SWEENEY, D., WILLIAMS, T., FREEMAN, J. and SHOESMITH, E., 2024. Statistics for business and economics. 6th ed. Andover: Cengage Learning. |
| 2 | OAKSHOTT, L., 2020. Essential Quantitative Methods for Business Management and Finance. 7th ed. Basingstoke: Palgrave. |
| 3 | BOWERMAN, B., DROUGAS, A, M., DUCKWORTH, W, M., et al., 2019. Business Statistics and Analytics in Practice. 9th ed. McGraw Hill. |
| 4 | LESIK, S., 2018. Applied Statistical Inference with MINITAB®. 2nd ed. New York: Chapman and Hall/CRC. |