IB3K5-15 Artificial Intelligence for Business
Introductory description
This is an elective module available for WBS and non-WBS students.
This course equips students with fundamental knowledge in approaches for reaping strategic value from data/knowledge assets and building data-driven decision making capacity in organisations. Principles for adopting effective enterprise data management systems and interfaces, and for mounting key business intelligence practices (e.g. customer relationship management, knowledge management, business performance
management, data analytics, data mining, dashboards, etc) are critically reviewed, in order to obtain a sound appreciation of salient success factors affecting the use of enterprise data/knowledge and external data sources for decision-making and achieving competitive advantage.
Module aims
By providing understanding/insight for decision-making via access to structured data & knowledge assets across the enterprise as well as unstructured data throughout the internet and sensory technologies, data analytics enables an organisation to sense & respond to the demands of its operating environment.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Strategic nature and application of business intelligence practices and enterprise data management technologies in contemporary organisations.
Management of data warehousing and business intelligence practices.
Business Analytics applications and tools.
Business intelligence practices: knowledge management, customer relationship mgt. and supply chain management (CRM/SCM), business performance management, data mining.
Challenges in enterprise data/knowledge management: the case of dashboards.
Learning outcomes
By the end of the module, students should be able to:
- Understand the strategic nature of enterprise data knowledge management technologies and data analytics practices.
- Understand the strategic significance of the BI and Business Analytics systems, and the managerial issues associated with the selection and adoption of such data and manipulation technologies.
Indicative reading list
Reading lists can be found in Talis
Subject specific skills
Understand the managerial and organisational issues associated the use of data and business analytics systems and enterprise business intelligence practices.
Transferable skills
Know how to recommend management policies and measures to enable an organisation to exploit data/knowledge assets and information technologies effectively
Study time
| Type | Required |
|---|---|
| Lectures | 10 sessions of 1 hour (13%) |
| Seminars | 9 sessions of 1 hour (12%) |
| Online learning (independent) | 10 sessions of 1 hour (13%) |
| Private study | 48 hours (62%) |
| Total | 77 hours |
Private study description
Private Study.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A3
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Individual Assignment (15 CATS) | 70% | 51 hours | Yes (extension) |
Reassessment component is the same |
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Assessment component |
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| Group Presentation (15 CATS) | 30% | 22 hours | No |
Reassessment component |
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| Individual Assignment | Yes (extension) | ||
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Reassessment for Group Presentation |
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Feedback on assessment
Feedback will be provided via my.wbs.
There is currently no information about the courses for which this module is core or optional.