Information Retrieval

This course prepares students to explain the architecture of information retrieval systems and search engines, apply indexing, retrieval models and document ranking, and evaluate the performance of information retrieval systems. Study materials: Data Management (DM).

Topics

1. Architecture of information retrieval systems and search engines
2. Text preprocessing and indexing
3. The vector space model and TF-IDF weighting
4. Probabilistic models
5. Document ranking
6. Evaluation of information retrieval systems

Each course outcome derives from one programme outcome.

1. CPMK-AIDE-02

   Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

   CPLP03
2. CPMK-AIDE-01

   Students are able to design and implement advanced artificial intelligence modelling to analyse diverse large-volume data through the management of structured data storage infrastructure.

   CPLP03

CPLP03

Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.