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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
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Greensheet
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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).
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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).
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- "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 *
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30 points
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| 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
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96-100%
92-95.9% |
A
A- |
880 - 919 points
840 - 879 points
800 - 839 points
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88-91.9%
84-87.9%
80-83.9% |
B+
B
B- |
760 - 799 points
720 - 759 points
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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 |
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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
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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 |
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Spring Break - no class on
March 27
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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
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Meadow 5-6, 14 |
Assignment #2 due
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14: May 1
Catch up, review, issues in IR |
Marchionini 8-9 |
Final distributed via e-mail |
| May 8 - no class |
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Final due via e-mail on May 8 |
This page is part of The
School of Library & Information Science at San
José State University.
It is maintained by slisweb@wahoo.sjsu.edu.
It was last updated on January 11, 2003
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