Section outline

◄Exercises
►Exams

  • The dates and order/content of the lectures are still tentative, that is, subject to possible (minor) changes.  

    • Lecture 01: Introduction to Information Retrieval (April 25)
    • Lecture 02: Boolean Retrieval and Term Indexing (May 2)
    • Lecture 03: Data Structures in IR and Tolerant Retrieval (May 9)
    • Lecture 04: Term Weighting and Vector Space Model  (May 16)
    • Lecture 05: Probabilistic IR (May 23)
    • Lecture 06: LM for IR, Query Likelihood Model (May 30)
    • Lecture 07: Relevance Feedback and Query Expansion (June 6)
    • Lecture 08: Latent /Semantic IR Models (June 13)
    • Lecture 09: Classification & Clustering, Learning to Rank, Evaluation (June 27)
    • Lecture 10: Neural (Re)Ranking Models (July 4)
    • Lecture 11: Web Search and Link Analysis (July 11)
    • Project presentations (July 18)



◄Exercises
►Exams