FIT4009 Advanced topics in intelligent systems
Faculty of Information Technology
FIT4009 Advanced topics in intelligent systems is a level 4, 6-credit-point, undergraduate and postgraduate unit from the Faculty of Information Technology, offered in 2020 in Semester 2 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 2
- Malaysia
- Assessment
- Exam 40%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2023 entry.
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Requisites
Before FIT4009
No prerequisites or corequisites besides the enrolment rules below.
After FIT4009
No unit lists FIT4009 as a prerequisite in the 2020 handbook.
Enrolment rules
Prerequisite: Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.
For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: completion of 144 credit points of study in the Bachelor of Software Engineering (Honours) degree.
Overview
Methods from Artificial Intelligence (AI) form the basis for many advanced information systems. These techniques address problems that are difficult to solve or not efficiently solvable with conventional techniques. Building on the undergraduate curriculum this unit introduces the student to advanced AI methods and their applications in information systems.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Malaysia | On campus |
Assessment
- Assignment 1 - Classification Task and Paper Writing with Latex30%
- Assignment 2 - Fuzzy Inference System15%
- Assignment 3 - Intrusion Detection System15%
- Examination40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Describe an overview of different technologies that form the basis of intelligent information systems;
- 2
Explain the capabilities of these methods;
- 3
Recognise tasks that can be solved with these methods;
- 4
Judge the limitations of these methods;
- 5
Apply several standard techniques in the chosen sub-fields of intelligent information systems to the construction and design of such systems;
- 6
Critically evaluate the performance of these approaches;
- 7
Compare these techniques to alternative approaches;
- 8
Explain the practical relevance of intelligent information systems.
Workload and teaching
- Lectures24 hours
- Teaching approachProblem-based 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
FIT4009 is part of 1 area of study in the 2020 handbook.
Contacts
- Unit Coordinators
- Dr Lim Chern Hong
- Chief Examiners
- Associate Professor Anuja Dharmaratne
Common questions
What are the prerequisites for FIT4009?
FIT4009 has no prerequisites, but enrolment rules apply.
When is FIT4009 offered?
In 2020, FIT4009 runs in Semester 2 at Malaysia.
How much work is FIT4009?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT4009 have an exam?
Yes. The exam is worth 40% of the final mark, alongside 3 other tasks.
Which majors and minors include FIT4009?
FIT4009 is part of Software engineering.