National CAE Designated Institution
  • Classroom
  • Online, Instructor-Led

This course will introduce students to theories, models, and systems of information retrieval (IR). These will include the models of representation for data/information/knowledge and user needs/queries; the models and mechanisms of information relevance establishment, information filtering and personalization; and the models and measures for IR system performance evaluation.

Learning Objectives

  1. Discuss the major milestones of historical development of IR systems and understand their implications to IR research and practice.
  2. Explain the major theories and algorithms ‘powering’ the modern search engines.
  3. Discuss the models and methodologies of IR system evaluation, and the applications and limitations of current IR performance measures and other proposed performance measures.
  4. Describe Semantic Web technologies and their use in IR.
  5. Discuss some of the social issues associated with the practical implementations of the IR models.
  6. Describe the techniques and strategies used to optimize websites for search engines.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas