Introduction to Artificial Intelligence
Duration
One Semester or equivalent
Contact hours
- 32 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
2024 teaching periods
Hawthorn Higher Ed. Semester 1 |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Swinburne Online Teaching Period 1 |
Swinburne Online Teaching Period 3 | |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
Aims and objectives
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Describe and interpret the fundamental concepts of Artificial Intelligence (AI) and generic problem solving techniques
2. Apply advanced algorithms and data structures to solve common problems
3. Design software that implements AI concepts.
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Type | Hours per week | Number of Weeks | Total |
Live Online Lecture | 2 | 8 | 16 |
On Campus Class | 2 | 4 | 8 |
On Campus Class | 1 | 12 | 12 |
Online Activities | 2 | 12 | 24 |
Unspecified Activities Independent Learning | 8.5 | 12 | 102 |
TOTAL | 150 hours |
Type | Hours per week | Number of Weeks | Total |
Online Activities | 12.5 | 12 | 150 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group task | Weighting | Unit Learning Outcomes (ULOs) |
Assignment 1 | Individual | 20-30% | 2,3 |
Assignment 2 | Group | 20-30% | 2,3 |
Final Semester test | Individual | 20-30% | 1,2 |
Mid Semester test | Individual | 20-30% | 1,2 |
Content
• Introduction to Logic and Reasoning
• Uninformed and Informed Search
• Knowledge Representation
• Expert Systems
• AI Planning
• Uncertain Knowledge and Reasoning
• Decision Making with Uncertainty
• Adaptation and Machine Learning
• Philosophical Aspects of AI
Study resources
- Reading materials.