This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Postgraduate Handbook 2019-2020 (archived)
Module BUSI41Z15: MODELLING AND ANALYSIS FOR MANAGEMENT (DL)
Department: Management and Marketing
BUSI41Z15: MODELLING AND ANALYSIS FOR MANAGEMENT (DL)
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 4 | 15 | Available in 2019/2020 | Durham |
Tied To
- N1D217: Business Administration (Finance) (Distance Learning) (For students entering before August 2007) (see Postgraduate Handbook 2011-2012 for details)
- N1D314: Business Administration (Distance Learning) (For students entering before August 2007) (see Postgraduate Handbook 2011-2012 for details)
- N1D317: Business Administration (Distance Learning) (For students entering before August 2007) (see Postgraduate Handbook 2011-2012 for details)
Pre-requisites
- None.
Corequisites
- None.
Excluded Combinations
- 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 | Attendance Monitored |
|---|---|---|---|---|---|
| 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 | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Written Assignment | 100% | Written Assignment | 4,000 words maximum | 100% |
Formative Assessment
Quantitative exercises.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.