Structured Data StudioCourse catalogue
Course Catalogue/CSET345

Search and retrieval · CSET345

Information Retrieval and Search Engine

Study text processing, indexing, query models and search evaluation, then implement information retrieval approaches for text applications.

Learning outcomes

In plain language, this course develops the following abilities.

  1. Explain text analysis, information retrieval architecture and query-processing models.
  2. Build retrieval systems using indexing, compression and information categorisation.
  3. Implement information retrieval approaches for text-domain applications.

Syllabus overview

Text and query models

Tokenisation, stemming, lemmatisation, probabilistic models, relevance feedback and retrieval evaluation.

Indexes and web retrieval

Inverted indexes, ranked retrieval, compression, semantic web and information management.

Classification and link analysis

Text classification and clustering, sentiment analysis, web crawling and PageRank.

Related courses

CSET489 · Search Engine OptimizationCSET301 · Artificial Intelligence and Machine Learning

These links suggest related topics; they are not formal prerequisite requirements.

Source and scope

Summarised from the official 2023–2027 booklet, PDF page 170 and its continuation. Course facts follow the curriculum listing. This page is part of a student academic project.