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 COMP41915: Data Analytics in Action
Department: Computer Science
COMP41915: Data Analytics in Action
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 4 | 15 | Available in 2019/2020 | None. | Durham |
Tied To
Pre-requisites
- None
Corequisites
- None
Excluded Combinations
- None
Aims
- To provide an appreciation of descriptive and prescriptive business-analytics techniques.
- To provide knowledge of, and ability to apply, a range of descriptive and predictive business-analytics techniques.
- To implement descriptive and predictive business-analytics models using appropriate software.
- To provide knowledge of, and ability to apply, data visualisation using appropriate software.
Content
- Descriptive techniques such as data visualisation, data analysis, and descriptive statistics.
- Predictive techniques such as clustering and classification.
Learning Outcomes
Subject-specific Knowledge
- By the end of the module students should:
- Have in-depth knowledge of a range of descriptive and predictive business-analytics techniques and be able to apply them critically to management problems.
- Have an understanding of the applicability and limitations of descriptive and predictive business-analytics techniques;
Subject-specific Skills
- By the end of the module students should be able to:
- Implement descriptive and predictive business-analytics models using appropriate software packages;
- Interpret the results of descriptive and predictive business analytics models and their relevance for companies.
Key Skills
- Effective written communication
- Planning, organising and time-management
- Problem solving and analysis
- Interpreting and using data
- Making effective use of communication and information technology
- Data visualisation
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Learning outcomes are met through classroom-based workshops, supported by online resources. The workshops consist of a combination of taught input, computer practical sessions, group work, case studies and discussion. Online resources provide preparatory material for the workshops — typically consisting of directed reading and video content.
- The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module.
- The summative assessment is an individual business analytics project, which is designed to test the ability to formulate a problem, apply appropriate business-analytics techniques to analyse it, and critically interpret the results obtained.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Workshops (a combination of lectures, laboratories, group work, case studies and discussion) | 24 | Yes | |||
| Preparation and reading | 126 | ||||
| Total | 150 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Written Assignment | 100% | Individual Business Analytics Project | 3000 words maximum | 100% |
Formative Assessment
The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module. Oral and written feedback will be given on a group and/or individual basis as appropriate.
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.