INFT6600
10 units
6000 level
Course handbook
Description
If data is the oil of the 21st Century, then artificial intelligence (AI) is its engine. Across a wide range of application areas, system designers leverage the advances in machine learning to process large volumes of data (e.g. audio, image, video) in an attempt to extract meaningful information from data, automate complex tasks, and support human decision making. This postgraduate course equips students with advanced skills to explore and push the boundaries of existing AI tools and libraries in practical application areas such as business, education, and health.
Availability2024 Course Timetables
Online
- Semester 2 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Explain principles of artificial intelligence and machine learning.
2. Use advanced AI tools, frameworks, and libraries to extract nuanced information from complex data sources (e.g. audio, image, text, video).
3. Interpret, critically evaluate and seamlessly integrate AI outputs to achieve intended purposes.
4. Interpret and evaluate the application of AI tools and libraries to practical application areas (e.g. business, education, health).
5. Critically evaluate the limitations and issues of applying AI in practice.
Content
Topics will include:
- Overview and History of Artificial Intelligence
- Conventional Machine Learning
- Deep Learning
- The Workflow of Machine Learning in Practice
- AI for Computer Vision
- AI for Natural Language Processing
- Advanced Application of AI (e.g. Autonomous Systems, Generative AI)
- Health, Ethics and Societal Issues of AI applications
Assumed knowledge
INFT6004 Introduction to Programming or SENG6110 Object Oriented Programming
Assessment items
Presentation: Research Presentation
Report: AI Project: Group Assessment
Formal Examination: Formal Examination Online
Compulsory Requirement: Pass requirement 40% - Must obtain 40% in this assessment item to pass the course.
Contact hours
Semester 2 - 2024 - Online
Computer Lab-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 2
Lecture-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 1
Tutorial-1
- Online 1 hour(s) per week(s) for 13 week(s) starting in week 1
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.