Overview:
- Credits:
- 7.5
- Level:
- 4
- Semester:
- Summer
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Professor Michael O'Neill
MIS41250 Artificial Intelligence & BA
Academic Year 2020/2021
This module provides an introduction to Artificial Intelligence, its history and foundations, and primary research directions. Students will gain an appreciation of how techniques from AI can be applied to solve problems in Business Analytics and beyond.Show/hide contentOpenClose All
Curricular information is subject to change
Learning Outcomes:
On completion of the module students should be able to:
- Explain what is Artificial Intelligence and discuss its foundations
- Outline the primary research areas, including problem solving and search, reasoning, knowledge, planning, learning, perception, action and communication
- Apply AI algorithms to solve problems
- Design an experiment in AI
- Write an academic paper
| Student Effort Type | Hours |
|---|---|
| Lectures | 36 |
| Specified Learning Activities | 48 |
| Autonomous Student Learning | 100 |
| Total | 184 |
Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Project: Mini research project and report | Varies over the Trimester | n/a | Graded | Yes | 100 |
Carry forward of passed components
Yes
Yes
| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
Feedback Strategy/Strategies
• Feedback individually to students, post-assessment
How will my Feedback be Delivered?
Not yet recorded.
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