433-352 Data on the Web

433-253 Algorithms and Data Structures and two subjects (25 points) of first-year mathematics.

The objective of this subject is for students to 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.

Topics covered include: Web crawlers, text categorisation, data mining, document retrieval, information extraction, natural language processing and semi-structured data querying.

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.