Textbooks by Semester

LIBR 202-15
Information Retrieval
Fall 2007 Greensheet

Dr. Leanne Strum
Phone: (757) 226-4172
Fax: (757) 226-4167
Office location: Online
Office hours: IM, Email, or Telephone (My office hours: 9-4 M-F (EST))

Greensheet Links
Textbooks and Readings
Course Requirements
Blackboard Tutorials
SLIS eBookstore
LIBR 202 Resources
Online Resource
Supplemental Readings
Inmagic Download

Students must self-enroll for the course on Blackboard between August 19 and September 12, 2007.  The required password access enrollment code will be provided with the MySJSU Messaging system.  Class starts on Blackboard August 23, 2007.  Materials for class week 1 will be posted on Monday, August 20, 2007. Review the materials, but do not start the class until August 23, 2007.

See instructions here:

Course Description

Principles of information retrieval and their application to information systems and services. Emphasizing models of user information seeking behavior, human information processing and their relationship to retrieval models in information systems.

Course Prerequisites:  Demonstrated computer literacy.
Students need to know how to download software, zip and unzip files, work with folders, and elementary computer trouble shooting.

Course Objectives

Student Learning Outcomes

LIBR 202 supports the following SLIS Core Competencies:

These additional SLIS Core Competencies are also supported by this section:


Textbooks and Readings

Please order the two textbooks from any online bookstore or directly from the publishers in time to have them by at least the second week of class. 

Note: If books are purchased from Amazon via a SLIS referral (, SLIS scholarship funds get a 6% referral bonus!

Course Requirements

Complete the New Student Technology Workshop
This is a mandatory short, self-paced online workshop on Blackboard that must be completed by all new SLIS students before the first day of classes. The access code for this course will be sent to new students via MySJSU. If you have questions about this course, e-mail Debbie Faires or Dale David.

For more information, see

Class Materials Access
Scheduled by student (Asynchronous)

Elluminate Meetings
Currently t
here are three optional synchronous Elluminate sessions scheduled for this class:

These will be primarily for question and answer sessions - these sessions will be recorded and made available after these times. (In case of change, an updated schedule will be posted on Blackboard.) You are required to complete an orientation session with Debbie Faires prior to participating in the first Elluminate session. For a list of training times and other helpful information, see the SLIS Student Guide to Elluminate at

Technology Components
Successful students must be able to:

The assignments are designed to provide the students to acquire and demonstrate the following skills:

  1. Create a user model, and based on the needs identified, design descriptive and subject metadata for a collection. 
  2. Create a controlled vocabulary that adheres to a set of standards such as NISO Z39.19
  3. Search the database.
  4. Set performance criteria and, based on searches, evaluate the database.
  5. Evaluate one or more information retrieval interfaces.
  6. Describe fundamental concepts of information seeking behavior.
  7. Use information retrieval concepts in discussions.


Assignment Skill Date Due Points % of Grade
Course Participation     20 4%
Participation in the Discussion Forum     80 16%
  • Assignment 1: Descriptive metadata (Group)
1,pre-2, 7 10/3 125 25%
  • Assignment 2: Essay on Information Retrieval
5,6 10/24 50 10%
  • Assignment 3: Vocabulary Design & Evaluation (Group)
1,2,3,4,7 12/5 125 25%
  • Mid-term Exam
1,2,7 10/17 50 10%
  • Final Exam
1,4,5,6,7 12/17 50 10%
Total     500 100%

Course Calendar
(Subject to change with notification.)

Date Topic Readings Chapter Titles Assignment(s)
1 8/23 – 8/29

Available: 8/20
Introduction to IR SystemsIntroduction to Course
Information Retrieval Systems
View Lecture #1
Meadow 1
Meadow, Ch. 1: Introduction Install DB/
TextWorksOptional: Elluminate Session 8/25
2 8/30 – 9/5

Available: 8/27
Data, Information, & KnowledgeAggregation
File Structure
Metadata Attributes
View Lecture #2
Marchionini 1-3
Meadow 2
Marchionini, Ch. 1: Information & Information Seeking
Marchionini, Ch. 2: Information Seekers and Electronic Environments
Marchionini, Ch. 3: Information-seeking Perspective and FrameworkMeadow, Ch. 2: Data, Information, & Knowledge
3 9/6 – 9/12

Available: 9/3
The Structure of DataArchitecture of IR Systems
View Lecture #3
Meadow 6 & 10
Meadow, Ch. 6: The Physical Structure of Data
Meadow, Ch. 10: System-Computed Relevance and Ranking
Optional: Elluminate Session 9/8
4 9/13 – 9/19

Available: 9/10
User ModelsUser Models
Representation of Information (Descriptive metadata)
View Lecture #4
Meadow 5
Meadow, Ch. 5: Models of Virtual Data Structure  
5 9/20 – 9/26

Available: 9/17
Representation of Information (Subject Metadata: Controlled Vocabularies) View Lecture #5
Meadow 3 & 4 – Part A
Meadow, Ch. 3: Representation of Information
Meadow, Ch. 4: Attribute Content and Values
Optional: Elluminate Session 9/22
6 9/27 – 10/3

Available: 9/24
Representation of Information (Subject Metadata: Classification, Taxonomies) View Lecture #6
Meadow 3 – Part B
Meadow, Ch. 3: Representation of Information Assignment 1 Due
7 10/4 – 10/10

Available: 10/1
Representation of Information (Subject Metadata: Natural Language) View Lecture #7
Meadow 3 – Part C
Marchionini 7, 8, 9
Marchionini, Ch. 7: Designing Support for Browsing
Marchionini, Ch. 8: Continuing Evolution of Information Seeking
Marchionini, Ch. 9: Future Directions and ConclusionMeadow, Ch. 3: Representation of Information
8 10/11 – 10/17

Available: 10/8
Review Session Supplemental Readings Supplemental Readings Mid-Term Exam
9 10/18 – 10/24

Available: 10/15
Searching and Querying – Part 1
Interpretation & Execution
View Lecture #8
Meadow 7 & 8,
Meadow, Ch. 7: Querying the Information Retrieval System
Meadow, Ch. 8: Interpretation and Execution of Query Statements
Assignment 2 Due
10 10/25 – 10/31

Available: 10/22
Searching and Querying – Part 2
Search Strategy
View Lecture #9
Marchionini 5 & 6
Meadow 9 & 13
Marchionini, Ch. 5: Analytical Search Strategies
Marchionini, Ch. 6: Browsing StrategiesMeadow, Ch. 9: Text Searching
Meadow, Ch. 13: Search Strategy
11 11/1 – 11-7

Available: 10/29
Searching and Querying – Part 3
View Lecture #10
Meadow 11 & 12
Meadow, Ch. 11: Search Feedback and Iteration
Meadow, Ch. 12: Multi-Database Searching and mapping
12 11/8 – 11/14

Available: 11/5
Evaluating Retrieval Systems View Lecture #11
Meadow 16
Meadow, Ch. 16: Measurement & Evaluation  
13 11/15 – 11/21

Available: 11/12
Information Seeking Behavior View Lecture #12
Marchionini 4
Marchionini, Ch. 4: Foundations for Personal Information infrastructures: information Seeking Knowledge, Skills, and Attitudes  
14 11/22 – 11/28

Available: 11/19
IR Interface Design -- Usability View Lecture #13
Meadow 14 & 15
Meadow, Ch. 14: Information Retrieval Interface
Meadow, Ch. 15: A Sampling of Information Retrieval Systems
15 11/29 – 12/5

Available: 11/26
Course Review     Assignment 3 Due
Final Exam distributed
16 12/6 – 12/10

Available: 12/3
Wrap-up     Final Exam

Grading Scale
The standard SJSU SLIS Grading Scale is utilized for all SLIS courses:

97-100 A
94-96 A-
91-93 B+
88-90 B
85-87 B-
82-84 C+
79-81 C
76-78 C-
73-75 D+
70-72 D
67-69 D-
Below 67 F

In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades:

Students are advised that it is their responsibility to maintain a Grade Point Average (GPA) of 3.0.

Points Earned Numeric Grade Letter Grade
485-500 97-100% A
470-484 94-96% A-
455-469 91-93% B+
440-454 88-90% B
425-439 85-87% B-
410-424 82-84% C+
405-409 79-81% C
400-404 76-78% C-
395-399 73-75% D+
391-394 70-72% D
388-390 67-69% D-
>387 Below 67% F
No Incompletes will be granted.

The class GPA for LIBR 202 usually runs between 91% and 93% (B+). University policy states that competent graduate level work is B.

Late assignments are only accepted with instructor’s approval and if prior arrangements are made with instructor.  

Assignments 1 and 3 have major team components (approximately 40-45%).  The Midterm, final, discussion postings, participation, and assignment 2 are totally individual efforts.

Academic Integrity
Your own commitment to learning, as evidenced by your enrollment at San José State University, and the University's Academic Integrity Policy requires you to be honest in all your academic course work. Faculty members are required to report all infractions to the Office of Student Conduct and Ethical Development. The policy on academic integrity can be found at

Reasonable Accommodation of Disabilities
If you need course adaptations or accommodations because of a disability, please e-mail me as soon as possible. Presidential Directive 97-03 requires that students with disabilities register with the Disability Resource Center (DRC) to establish record of their disability.

No matter where students reside, they should contact the SJSU DRC to register. The DRC Web site: