MonMap

A course mapper by Monash Association of Coding (MAC)

Fundamentals of artificial intelligence

Level 5S1·S2

About

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.

Offered in 2026

Semester 1Suzhou (SEU)· ON-CAMPUSClayton· FLEXIBLEMalaysia· ON-CAMPUS
Semester 2Malaysia· ON-CAMPUSClayton· BLENDED

Prohibitions

ITO5047Fundamentals of artificial intelligence

Prerequisites

all of

any of

FIT9136Algorithms and programming foundations in Python

FIT9133Programming foundations in python

FIT9131Programming foundations in Java

any of

EPM5026Mathematical foundations for biostatistics

MAT9004Mathematical foundations for data science and AI

Fundamentals of artificial intelligence

FIT5047

Synopsis

Sourced from the Monash Handbook 2026.

Quick facts

Credit points: 6
Level: 5
Audience: Postgraduate
Type: Coursework
School: Faculty of Information Technology
Handbook year: 2026

Prerequisites (5)

Mathematical foundations for biostatisticsEPM5026
Programming foundations in JavaFIT9131
FIT9133FIT9133
Introduction to Python programmingFIT9136
Mathematical foundations for data science and AIMAT9004

What it unlocks (6)

Machine learningFIT5201
Data processing for big dataFIT5202
Modelling discrete optimisation problemsFIT5216
Natural language processingFIT5217
Intelligent image and video analysisFIT5221
Malicious AIFIT5230

Offerings (5)

First semesterSuzhou (SEU) · ON-CAMPUS / Clayton · FLEXIBLE / Malaysia · ON-CAMPUS
Second semesterMalaysia · ON-CAMPUS / Clayton · BLENDED

Listed in 1 area of study

Computational scienceElective units