Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:For information about these dates, click here.
|Time Commitment:||Contact Hours: Twenty-four hours of lectures and approximately 11 hours of tutorials |
Total Time Commitment: Not available
433-253 Algorithms and Data Structures and two subjects (25 points) of level 1 mathematics.
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
|Subject Overview:||Topics covered include: web crawlers, text categorisation, data mining, document retrieval, information extraction, natural language processing and semi-structured data querying.|
On completion of this subject students should understand the fundamentals of data on the web, including data acquisition and aggregation, document categorisation, text retrieval, automatic information extraction, and delivery via Web-based query services.
Project work during semester, expected to take about 36 hours (50%); and a 3-hour end-of-semester written examination (50%). To pass the subject, students must obtain at least 50% overall, 25/50 in project work, and 25/50 in the written examination.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:|| |
On completion of this subject students should:
|Notes:||Students enrolled in the BSc (pre-2008 BSc), BASc or a combined BSc course will receive science credit for the completion of this subject.|
Bachelor of Engineering (Computer Engineering) |
Bachelor of Engineering (Electrical Engineering)
Bachelor of Engineering (Software Engineering)
Master of Engineering in Distributed Computing
Computer Science |
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