MIS41250 Artificial Intelligence & BA

Academic Year 2019/2020

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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Project: Mini research project and report Varies over the Trimester n/a Graded Yes

100


Carry forward of passed components
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.

Summer
     
Lecture Offering 51 Week(s) - 38, 39, 40, 41, 42 Tues 10:00 - 14:50

Discover our Rankings and Accreditations