Marianne K Sweeny
Introduction to theory and models in information retrieval and the systems for storage and retrieval of unstructured information. Examines information retrieval architectures, processes, retrieval models, query languages, and methods of system evaluation, methods and tools for document analysis, interfaces, and usability.
High level introduction to information retrieval systems that includes core examination of behavior models, information retrieval architecture, storage and models and algorithms. Examines current Web search engine methods, key algorithms, optimization methods and effective search within the enterprise. Focus of class will be on information architecture and user experience.
Student learning goals
Understand the foundation mechanics of all information retrieval systems
Understand information seeking behavior using mechanical tools
Understand modern information retrieval concepts of non-text retrieval and the influences of user behavior
Understanding of search engine optimization, search engine advertising and enterprise search concepts
Confidence in ability to manipulate placement in search engine results due to thorough understanding of how results presentation is determined
General method of instruction
Lecture Guided class discussion
If possible, read or read about You are Not a Gadget by Jaron Lanier. I will present on this work in the first class and refer to it throughout the course.
Class assignments and grading
There will be weekly assignments: a one page summary and critique of an information retrieval blog post. A list of topical blogs will be provided on the course website.
Grading is done on a point/percentage basis with points distributed between weekly assignment [50%], class discussion participation [30%] and the final exam [20%].