Credits and Contact Hours

3 credits, 43 hours

Course Instructor Name

Dr. Mohammad Allaho

Textbook

Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, "Introduction to Information Retrieval", Cambridge University Press. 2008. http://nlp.stanford.edu/IR-book/information-retrieval-book.html

W. Bruce Croft, Donald Metzler, and Trevor Strohman, "Search Engines, Information Retrieval in Practice". 2015

Catalog Description

This is an undergraduate-level introductory course for information retrieval. It will cover algorithms, design, and implementation of modern information retrieval systems. Topics include: retrieval system design and implementation, text analysis techniques, retrieval models (e.g., Boolean, vector space, probabilistic, and learning-based methods), search evaluation, retrieval feedback, search log mining, and applications in web information management.

Prerequisite

CpE-207 and ENGR-304

Specific Goals for the Course

Upon successful completion of this course, students will be able to:

• Write code for text indexing and retrieval. (Student outcomes: 1, 6)
• Evaluate information retrieval systems. (Student outcomes: 2)
• Analyze textual and semi-structured data sets. (Student outcomes: 1, 6)
• Evaluate information retrieval systems. (Student outcomes: 1, 6)
• Learn about text similarity measures. (Student outcomes: 6)
• Build specified search engines. (Student outcomes: 1, 4, 6)

Topics to Be Covered

• Overview of text retrieval systems
• Retrieval models and implementation: Vector Space Models
• Query expansion and feedback
• Probabilistic models; statistical language models
• Text classification & Text clustering
• Web search basics, crawling, indexes, Link analysis
• Specialty search engine
• IR applications