- Learning outcomes
- Program delivery and structure
MC271 - Master of Artificial Intelligence
Plan: MC271 - Master of Artificial Intelligence
Campus: City Campus
Program Learning Outcomes Statement
You are expected to develop the following Program Learning Outcomes:
Enabling Knowledge (PLO1)
You will gain skills as you apply knowledge with creativity and initiative to new situations. In doing so, you will:
Demonstrate mastery of a body of knowledge that includes recent developments in Artificial Intelligence, Computer Science and Information Technology;
Understand and use appropriate and relevant, fundamental and applied Artificial Intelligence knowledge, methodologies and modern computational tools;
Recognise and use research principles and methods applicable to Artificial Intelligence.
Critical Analysis (PLO2)
You will learn to accurately and objectively examine, and critically investigate Computer Science, Information Technology (IT) and statistical concepts, evidence, theories or situations, in particular to:
Analyse and model complex requirements and constraints for the purpose of designing and implementing software artefacts and IT systems;
Evaluate and compare designs of software artefacts and IT systems based on organisational and user requirements;
Bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of Artificial Intelligence problems.
Problem Solving (PLO3)
Your capability to analyse complex problems and synthesise suitable solutions will be extended as you learn to:
Design and implement software solutions that accommodate specified requirements and constraints, based on analysis or modelling or requirements specification;
Apply an understanding of the balance between the complexity / accuracy of the Artificial Intelligence techniques used and the timeliness of the delivery of the solution.
You will learn to communicate effectively with a variety of audiences through a range of modes and media, in particular to:
Interpret abstract theoretical propositions, choose methodologies, justify conclusions and defend professional decisions to both IT and non-IT personnel via technical reports of professional standard and technical presentations.
Team Work (PLO5)
You will learn to work as an effective and productive team member in a range of professional and social situations, in particular to:
Work effectively in different roles, to form, manage, and successfully produce outcomes from collaborative teams, whose members may have diverse cultural backgrounds and life circumstances, and differing levels of technical expertise.
You will be required to accept responsibility for your own learning and make informed decisions about judging and adopting appropriate behaviour in professional and social situations. This includes accepting the responsibility for independent life-long learning and a high level of accountability. Specifically, you will learn to:
Effectively apply relevant standards, ethical considerations, and an understanding of legal and privacy issues to designing Artificial Intelligence software, applications and IT systems;
Reflect on experience and improve your own future practice;
Locate and use data and information and evaluate its quality with respect to its authority and relevance.
Research and Scholarship (PLO7)
You will have technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice or scholarship, specifically you will have cognitive skills to:
Demonstrate mastery of theoretical knowledge and to reflect critically on theory and professional practice or scholarship;
Plan and execute a substantial research-based project, capstone experience and/or piece of scholarship.
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