Advanced Knowledge Representation
Undergraduate
Undergraduate
COMP 4025
Undergraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
100710
4.5
No
School of Information Technology and Mathematical Sciences
The course will provide students with knowledge about theoretical underpinnings and practical applications of technologies currently studied in knowledge representation and applied Artificial intelligence research. The course will cover different approaches suitable to a number of important application areas and real world domains. It will assume prior knowledge of basic AI concepts.
The course includes both the study of theoretical aspects as well as practical modelling with current knowledge representation techniques. This includes:
Qualitative Reasoning
Nil
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
COMP 2019 | Artificial Intelligence |
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 2 hours x 13 weeks | ||
EXTERNAL, MAWSON LAKES, ONLINE | |||
External | N/A x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment 1, Assignment 2, Final Examination, Presentation and written report
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.