Postgraduate Programme and Module Handbook 2018-2019 (archived)
Module BUSI41Z15: MODELLING AND ANALYSIS FOR MANAGEMENT (DL)
Department: Business School (Business)
BUSI41Z15: MODELLING AND ANALYSIS FOR MANAGEMENT (DL)
| Type | Tied | Level | 4 | Credits | 15 | Availability | Available in 2018/19 | Module Cap |
|---|
| Tied to | N1D317 |
|---|---|
| Tied to | N1D217 |
| Tied to | N1D314 |
Prerequisites
- None.
Corequisites
- None.
Excluded Combination of Modules
- None.
Aims
- To provide students with a sufficiently detailed knowledge of methods for solving quantitative problems to permit them to appreciate material covered elsewhere in the MBA programme.
Content
- Data description.
- The Normal distribution.
- Inference: means, proportions, contingency tables (Chi-squared).
- Applications of statistical models to management problems, e.g. risk and monitoring.
- Linear models: simple regression and applications; introduction to linear programming.
Learning Outcomes
Subject-specific Knowledge:
- By the end of this module, students should have a detailed knowledge of key concepts in data description and statistical modelling; monitoring and hypothesis testing; and linear models.
Subject-specific Skills:
- By the end of this module, students should:
- Be able to use a range of standard statistical tests and apply them to complex management problems;
- Be able to use modelling applications within Excel and apply them to complex management problems.
Key Skills:
- Written communication.
- Planning, organising and time management.
- Problem solving and analysis.
- Using initiative.
- Computer literacy.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module is delivered in discrete Units. These are designed to enable the learning outcomes to be achieved through a combination of specially written material, directed reading, reflection through self-assessed assignments and guidance for further reading. Module tutors provide feedback on formative work and are available for individual consultation as necessary (by email, telephone, post or fax).
- The written assignment will test students' understanding of, and ability to apply, relevant statistical and modelling techniques.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| DL Study Units (a combination of specially written material, directed reading, self-assessed assignments and guidance for further reading) | 150 | ||||
| Total | 150 |
Summative Assessment
| Component: Written Assignment | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Written Assignment | 4,000 words maximum | 100% | |
Formative Assessment:
Quantitative exercises.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University