Overview
Recent technological advances are bringing robots out of their usual industrial settings and into homes and offices. Mobile robots capable of vacuum cleaning and lawn mowing are already commercially available. As miniaturisation and sophistication increase and costs continue to decrease, it is anticipated that robots will become commonplace. Applications include … For more content click the Read More button below.
As autonomous devices become more common, potential employers include companies that can make ready use of automation. This includes companies concerned with home and office automation, entertainment companies and autonomous systems research and development. Autonomous systems and the sophisticated sensors they employ are also adopted in many industries to enhance production and to improve safety (e.g. mining, manufacturing, transport).
The Artificial Intelligence stream in the Graduate Diploma and Master of Information Technology programs focuses on the development of sophisticated software for mobile robot control. Several aspects of software are considered:
artificial intelligenceagent programmingexperimental roboticsknowledge representation and reasoningmachine learningrobot architectureshuman-computer interactionvision
Learning Outcomes
1.
Explain advanced concepts, theories and techniques, relevant to informaon technology.
2.
Apply a breadth of relevant compung knowledge, including informaon technology management.
3.
Identify, define, investigate, and analyse the computing aspects of complex engineering problems
4.
Synthesise algorithmic knowledge and apply appropriate computing methods to contribute to (Scholars) effective and/or innovative solutions to complex engineering problems.
5.
Communicate information and justify decisions to other professionals, clients, stakeholders, and the broader community.
6.
Apply ethical approaches to professional practice.
7.
Collaborate and lead effectively in diverse professional contexts.
Available in Program(s) Single degree program(s) in which this specialisation is available:
Graduate Diploma in Information Technology - GDipIT5546 - Information Technology
Specialisation Structure
Students must complete 72 UOC.
Foundational Core Core Courses18 Units of Credit:
Advanced Core Courses18 Units of Credit:
Electives18 Units of Credit:
Artificial Intelligence Core Course6 Units of Credit:
Disciplinary Knowledge Elective Courses12 Units of Credit:
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You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.
You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)