FIT5166 Information retrieval systems
Faculty of Information Technology
FIT5166 Information retrieval systems is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2020 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 2
- Clayton
- Assessment
- Exam 50%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2022 entry.
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Requisites
Before FIT5166
No prerequisites or corequisites besides the enrolment rules below.
After FIT5166
No unit lists FIT5166 as a prerequisite in the 2020 handbook.
Enrolment rules
Prerequisites: (FIT9131 or FIT9133 or FIT5131 or FIT9017) and (FIT9132 or FIT5132 or FIT9003 or FIT9019)) or equivalent
For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: FIT2099 and FIT3171
Overview
This unit presents students with the theory and practice underlying computerised information retrieval. Topics covered include: history and context of information retrieval systems, retrieval models, Boolean, vector space and probabilistic, evaluation strategies, test collections, web search engines, indexing, content-based multimedia retrieval and relevance feedback.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Unit TestThreshold hurdle15%
- AssignmentThreshold hurdle30%
- Quizzes (x 7)Threshold hurdle5%
- ExaminationThreshold hurdle50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Analyse critically the context and application of information retrieval systems;
- 2
Compare the different models of information retrieval and their comparative advantages and disadvantages;
- 3
Apply objective and subjective evaluation strategies in information retrieval systems;
- 4
Address the issues and challenges of managing very large collections of heterogeneous data for information retrieval;
- 5
Research how web search engines and search algorithms are constructed, utilised and deployed;
- 6
Do indexing for different media;
- 7
Implement information retrieval systems for the retrieval of audio-visual information;
- 8
Reflect on the theoretical and practical underpinnings of relevance feedback in information retrieval systems.
Workload and teaching
- Laboratories24 hours
- Lectures24 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 activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.
Where it fits
FIT5166 is part of 1 area of study in the 2020 handbook.
Contacts
- Chief Examiners
- Associate Professor Vincent Lee
Common questions
What are the prerequisites for FIT5166?
FIT5166 has no prerequisites, but enrolment rules apply.
When is FIT5166 offered?
In 2020, FIT5166 runs in Semester 2 at Clayton.
How much work is FIT5166?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT5166 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.
Which majors and minors include FIT5166?
FIT5166 is part of Software engineering.