LIBR 202 - 11 
Information Retrieval 
Spring 2003  

Thursdays 7:00-9:45, Room PLS-69 

Office hours: 30 minutes before and after class, 
or by appointment (in person or via chat room).  

Richard V. Jackson  
rjackson@wahoo.sjsu.edu  
Mailing address: 
Prof. Richard Jackson  
San Jose State University - SLIS   
800 N. State College  
P.O. Box 4150  
Fullerton, CA 92834-4150 
Phone: (562) 920-9450  Fax: (714) 278-5841

Course Links:

Assignments  

Outline/Calendar  

Online Resource

Blackboard  

Readings  
 

Handout #1
(Word File)
 


Handout #2
(PDF files)

     Part 1  
     Part 2  
     Part 3  
     Part 4  
     Part 5  
     Part 6  

Handout #3
(PDF files)
 
     Part 1  
     Part 2  
     Part 3  
     Part 4  
     Part 5  
 

Inmagic Download  

Inmagic Tutorial  

Adobe Acrobat Reader Download  
 

 

Greensheet      

Note:  Students who have registered for this class should self-enroll in the Blackboard site as soon as possible — Course ID: 202-Jackson; Course name: Information Retrieval - Jackson (202-11).

Course Description:  

This course is a survey of the principles of information retrieval and their application to information systems and services. The course emphasizes models of user information seeking behavior and human information processing, and their relationships to retrieval models in information systems. It explores the fundamental processes of description, classification, information structures, database models, and human-computer interaction as reflected in information systems of all types, including libraries. Various information systems will be examined, and students will gain experience designing, creating, and evaluating functioning information retrieval systems. 
 

Course Goals and Objectives: 

To introduce the student to: 

  • Basic concepts of information systems; 
  • User information seeking processes; 
  • Those user characteristics that affect information seeking and use. 
At the completion of the course the student should be able to: 
  • Describe the salient characteristics of an information retrieval system, using the model introduced and developed in the course 
  • Describe appropriate models of information seeking processes and factors influencing them 
  • Describe how the characteristics of information systems and users interact in the effective use of information. 
This course supports the following SLIS objectives: 
  • To teach students the major theories, important principles, and current practice in: 
    • Information management, including the selection, organization, storage, retrieval, dissemination, and utilization of information resources 
    • The application of diverse technologies to information management.
  • To foster research by: 
    • Requiring students to evaluate and utilize relevant research studies from a variety of disciplines in their course work.
Texts: 
  • Meadow, Charles T., Boyce, Bert R,. and Kraft, Donald H. (2000). Text Information Retrieval Systems. 2nd ed. San Diego: Academic Press. 

  • Marchionini, Gary (1995). Information Seeking in Electronic Environments. Cambridge: Cambridge University Press.
    The paperback version of the Marchionini book, published in 1997, is also acceptable.  However, please note that both editions of this book have been difficult to obtain lately.  If you are unable to acquire a copy, a scanned version is available online through the "Supplemental Readings" page (see below).

  • "Supplemental Readings" on reserve in the library (15 are required, more are recommended).  The bibliography and some electronic copies are available at http://witloof.sjsu.edu/courses/202/welcome202.html .  

 

If you need course adaptations or accommodations because of a disability, if there is emergency medical information I should be aware of, or if you need special arrangement in case the building must be evacuated, please make an appointment with me as soon as possible, or contact me by e-mail or during office hours. 
 
Technology Components:  

To be successful in this course, you need to be able to send and receive e-mail, access the School's web site for course handouts and readings, download software from a web site and install it on your computer, use common web search engines, and learn a new database management system. You should be comfortable with using FTP and mailing attachments. 

Assignments:
 

Attribute elicitation exercise 80 points
Classification exercise 110 points
Assignment #1: Description and Database Design (in groups) 240 points
Assignment #2: Subject Analysis (in groups) 240 points
Midterm 150 points
Final 150 points
Class participation *
30 points
Total 1,000 points

* The class participation category is intended to encourage further class learning.  Questions and comments posted to the Blackboard discussion forums, as well as offered in class, will earn credit here.  Class attendance and the use of office hours do not count toward class participation.

Students are expected to monitor the Blackboard site regularly for announcements and discussion postings.

Grading: 

The grade of B reflects high quality work commensurate with expectations for graduate students. Please note that the class GPA for LIBR 202 is generally a B+.   The following grading scale will be used: 


960-1000 points
920 - 959 points
96-100%
92-95.9%
A
A-
880 - 919 points
840 - 879 points
800 - 839 points
88-91.9%
84-87.9%
80-83.9%
B+
B
B-
760 - 799 points
720 - 759 points
76-79.9%
72-75.9%
C+
C

 

Approximate Schedule, Spring 2003
 

Class Readings Assignments
1:  January 23 
Course structure, overview
Basic concepts in information retrieval
   
2:  January 30 
Taxonomy of IR systems and search engines 
Architecture of IR systems -- DBMS
Meadow 1-3 DB TextWorks installed and tutorial completed
Bring collections for consideration for Assignment #1
In class: Attribute elicitation exercise 
3:  February 6 
More on architecture of IR systems -- DBMS
Meadow 4 Attribute elicitation exercise due
In class:  work session for Assignment #1
4:  February 13 
Representation of information I: Description
  (a) Attributes
  (b) Rules (AACR2, metadata)
  (c) Authority control
Begin supplemental readings In class:  work session for Assignment #1
5:  February 20 
Representation of information II: Subject 
  (a) Natural language
Meadow 9
Supplemental readings
In class:  work session for Assignment #1
6:  February 27 
  (b) Controlled vocabularies
You should complete the supplemental readings during these weeks when there is no reading from the texts. Assignment #1 data structure due to opposite team for beta test
7:  March 6 
  (b) Controlled vocabularies (cont.)
Beta test due back to opposite team
8:  March 13 
  (c) Classification
Assignment #1 due 
Midterm distributed via e-mail
9:  March 20 
  (c) Classification (cont.)
Meadow 7-8, 10-13, 15 Midterm due via e-mail
In class:  Classification exercise
Spring Break - no class on March 27
10:  April 3 
Searching and querying systems
Marchionini 5-6 Classification exercise due
In class:  work session for Assignment #2
11:  April 10 
Evaluating retrieval systems
Marchionini 7
Meadow 16
In class:  work session for Assignment #2
12:  April 17 
Information seeking behavior, cognition, mental models
Marchionini 3-4 In class:  work session for Assignment #2
13:  April 24
Interface research and design 
Meadow 5-6, 14 Assignment #2 due
14:  May 1
Catch up, review, issues in IR
Marchionini 8-9 Final distributed via e-mail
 May 8 - no class
Final due via e-mail on May 8



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It is maintained by slisweb@wahoo.sjsu.edu.
It was last updated on January 11, 2003