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Artificial Intelligence (COMP30024)
Undergraduate level 3Points: 12.5On Campus (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the specific study period for contact information.
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
AIMS
Artificial intelligence is the quest to create intelligent agents that can complete complex tasks which are at present only achievable by humans. This broad field covers logic, probability, perception, reasoning, learning and action; and everything from Mars Rover robotic explorers to the Watson Jeopardy playing program. You will explore some of the vast area of artificial intelligence. Topics covered include: searching, problem solving, reasoning, knowledge representation and machine learning. Topics may also include some of the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and agent-based systems.
INDICATIVE CONTENT
- Agents and search
- Probabilistic reasoning
- Reinforcement Learning
- Pattern recognition for robotics.
Intended learning outcomes
On completion of this subject the student is expected to:
- Identify problems that can be solved by search, and create search-based solution algorithms
- Design intelligent agents
- Choose the best search-based solving methods for a particular problem
- Make use of formal approaches for representing and reasoning about knowledge
- Build systems that use simple learning approaches to improve their performance
Generic skills
On completion of this subject students should have developed the following generic skills:
- The ability to analyse and solve problems involving complex reasoning
- The ability to synthesise information and communicate results effectively
- The capacity for critical and independent thought and reflection
- The ability to apply knowledge of basic science and engineering fundamentals
- The ability to undertake problem identification, formulation and solution.
Last updated: 18 March 2023
Eligibility and requirements
Prerequisites
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 |
12.5 |
COMP20007 | Design of Algorithms | Semester 1 |
12.5 |
OR
Admission into the GC-CS Graduate Certificate in Computer Science
Corequisites
None
Non-allowed subjects
433-303 Artificial Intelligence
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 18 March 2023
Assessment
Description | Timing | Percentage |
---|---|---|
A programming project submitted in two parts during semester. A component of the marks for the project work will be based on the individual contribution to the project.
| During the teaching period | 30% |
Written examination
| End of semester | 70% |
Additional details
Hurdle requirement: To pass the subject, students must obtain at least 50% overall
- 15/30 in project work
- And 35/70 in the written examination.
Intended Learning Outcomes (ILOs) 1-4 are addressed in the lectures, workshops exercises and the examination.
ILO 5 is addressed in the project work.
Last updated: 18 March 2023
Dates & times
- Semester 1
Principal coordinator Christopher Leckie Mode of delivery On Campus (Parkville) Contact hours 36 hours, comprising of two 1-hour lectures and one 1-hour workshop per week Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
Email: caleckie@unimelb.edu.au
Time commitment details
170 hours
Last updated: 18 March 2023
Further information
- Texts
Prescribed texts
Artificial Intelligence: A Modern Approach, by S. Russell and P. Norvig, Pearson, ISBN 9781292024202.
- Subject notes
INDICATIVE KEY LEARNING RSEOURCES
Students have access to lecture notes, lecture slides, tutorial exercises, and a test environment for evaluating their project submissions.
CAREERS/INDUSTRY LINKS
The material in this subject is highly relevant to the growing industry of data analytics in fields such as medicine, computer gaming, finance and industrial automation. Examples of guest lecturers who have been involved in this subject include staff of Telstra, IBM and NICTA.
- Related Handbook entries
This subject contributes to the following:
Type Name Informal specialisation Science Discipline subjects - new generation B-SCI Specialisation (formal) Software with Business Major Computer Science Specialisation (formal) Software - Breadth options
This subject is available as breadth in the following courses:
- Bachelor of Arts
- Bachelor of Commerce
- Bachelor of Design
- Bachelor of Fine Arts (Acting)
- Bachelor of Fine Arts (Animation)
- Bachelor of Fine Arts (Dance)
- Bachelor of Fine Arts (Film and Television)
- Bachelor of Fine Arts (Music Theatre)
- Bachelor of Fine Arts (Production)
- Bachelor of Fine Arts (Screenwriting)
- Bachelor of Fine Arts (Theatre)
- Bachelor of Fine Arts (Visual Art)
- Bachelor of Music
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 18 March 2023