FIT5222 Planning and automated reasoning
Faculty of Information Technology
FIT5222 Planning and automated reasoning is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2024 in Semester 2 at Clayton and Suzhou (SEU). It needs FIT5047 or FIT5197.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Clayton, Suzhou (SEU)
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before FIT5222
Prerequisites
Pass these before you enrol.
After FIT5222
No unit lists FIT5222 as a prerequisite in the 2024 handbook.
Enrolment rules
Prerequisite: For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: FIT3080.
Overview
This unit focuses on the foundations of automated planning and reasoning and their real-world applications. Autonomous agents are active agents that independently execute actions to achieve a certain goal or goals. These agents perceive their environment and reason and plan in order to effect their environment and achieve their goals. This is a very popular and highly researched AI approach and has many significant implications beyond the traditional area of AI (optimisation, robotics, scheduling, etc?). This course will give students the foundations to develop and design their own autonomous agents.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
| Term 3 | Suzhou (SEU) | On campus |
Assessment
- Assignment 1Assignment38%
- Assignment 2Assignment38%
- Lab ReportsReport24%
Learning outcomes
When you finish this unit, you should be able to:
- 1
explain the theoretical concepts of automated planning and reasoning techniques
- 2
apply agent modelling techniques to analyse, design and implement a small agent-based system
- 3
evaluate, design, and implement automated planning and reasoning technique
- 4
describe strengths and weaknesses of different automated planning and reasoning approaches for software agents
- 5
apply automated planning and concurrent programming techniques to non-trivial distributed problems.
- 6
Describe and discuss planning security challenges and solutions through goal recognition algorithms.
Workload and teaching
- Lectures12 hours
- Laboratories24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Where it fits
FIT5222 is part of 2 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Dr Daniel Harabor
Common questions
What are the prerequisites for FIT5222?
You need FIT5047 or FIT5197 before you enrol. Enrolment rules also apply.
When is FIT5222 offered?
In 2024, FIT5222 runs in Semester 2 at Clayton and Suzhou (SEU).
How much work is FIT5222?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT5222 have an exam?
No. FIT5222 has 3 assessment tasks and no exam.
Which majors and minors include FIT5222?
FIT5222 is part of Computational science and Software engineering.