Overview

To view overview information, please select an offering from the drop-down menu above.

Academic contacts

To view unit coordinator information, please select an offering from the drop-down menu above.

Offerings

KAPLAN-SGP-TJA-INT-2023-2023
KAPLAN-SGP-TJA-INT-2025-2025
KAPLAN-SGP-TMA-INT-2024-2024
KAPLAN-SGP-TSA-INT-2023-2023
KAPLAN-SGP-TSA-INT-2025-2025
MURDOCH-S1-EXT-2022-ONGOING
MURDOCH-S1-INT-2018-ONGOING

Enrolment rules

Enrolment in a graduate-level IT course.
Students enrolled in M1294 Master of Science in Information Technology are not required to meet the prerequisite requirement for this unit.

Other learning activities

To view other learning activity information, please select an offering from the drop-down menu above.

Learning activities

To view learning activity information, please select an offering from the drop-down menu above.

Learning outcomes

1.

Provide critical analysis of the AI paradigms, with their advantages over traditional computing
approaches in solving real world problems

2.

Explain the theoretical foundations of various types of AI technologies for specific applications with focus on data intensive applications

3.

Evaluate AI systems and, in particular, their suitability and shortcomings for specific applications and
domains

4.

Demonstrate and discuss the use of AI tools available for developing AI systems.

5.

Articulate the ethical and societal implications of AI.

Assessments

To view assessment information, please select an offering from the drop-down menu above.

Additional information

Unit content:

* Introduction to AI Systems * Knowledge Engineering * Problem Solving * Knowledge and Reasoning *
Rule-Based Systems * Fuzzy Systems * Machine Learning * Genetic and Evolutionary Algorithms * AI
Applications * Ethics and Safety of AI