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ITO5047 Fundamentals of artificial intelligence

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Unit Code, Name, Abbreviation

ITO5047 Fundamentals of artificial intelligence (15 Jun 2020, 2:14pm) [Fund AI (15 Jun 2020, 2:14pm)]

Reasons for Introduction

Reasons for Introduction (15 Jun 2020, 2:15pm)

This is a core unit in the Master of Computer Science degree.

Role, Relationship and Relevance of Unit (15 Jun 2020, 2:16pm)

This unit introduces the main problems and approaches to designing intelligent software systems including: automated search methods; reasoning under uncertainty; planning; software agents; recommender systems; machine learning paradigms; natural language processing; user modelling and evolutionary algorithms.

This unit is a core requirement of the Master of Computer Science degree.

Objectives

Objectives (15 Jun 2020, 2:19pm)

At the completion of this unit students should be able to:

  1. Explain the theoretical foundations of Artificial Intelligence (AI) - such as the Turing test, Rational Agency and the Frame Problem - that underpin the application to information technology and society.
  2. Critically explain, evaluate and apply appropriate AI theories, models and/or techniques in practice - including logical inference, heuristic search, genetic algorithms, supervised and unsupervised machine learning and Bayesian inference.
  3. Utilise appropriate software tools to develop AI models or software.
  4. Utilise and explain evaluation criteria to measure the correctness and/or suitability of models.

Unit Content

ASCED Discipline Group Classification (14 Sep 2020, 09:52am)

020119

Synopsis (15 Jun 2020, 2:19pm)

This unit introduces the main problems and approaches to designing intelligent software systems including automated search methods, knowledge representation and reasoning, planning, reasoning under uncertainty, machine learning paradigms, and evolutionary algorithms.

Teaching Methods

Mode (15 Jun 2020, 2:20pm)

Online

Assessment

Assessment Summary (15 Jun 2020, 2:21pm)

In-semester assessment: 100%

Workloads

Resource Requirements

Teaching Responsibility (Callista Entry) (15 Jun 2020, 2:21pm)

FIT

Prerequisites

Prerequisite Units (01 Sep 2021, 10:27am)

ITO5136 OR ITO5131

Prerequisite Knowledge (15 Jun 2020, 2:23pm)

Fundamental math with introductory knowledge of probability

Prohibitions (15 Jun 2020, 2:23pm)

FIT5047

Proposed year of Introduction (for new units) (15 Jun 2020, 2:24pm)

MO-TP6, 2020

Location of Offering (15 Jun 2020, 2:25pm)

Monash Online

Faculty Information

Proposer

Emma Nash

Approvals

School:
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Version History

01 Sep 2021 Gillian Oliver modified Prerequisites/PreReqUnits

This version: