LIBR 202-03
LIBR 202-13
Information Retrieval System Design
Fall 2014 Greensheet

Dr. Geoffrey Z. Liu
E-mail
Telephone: (408) 924-2467
Office Location: Clark Hall 418L, SJSU Campus
Office Hours: Email, Blackboard IM, & in-person by appointment


Greensheet Sections
Prerequisites
Requirements
Assignments
Workload Expectations
Learning Objectives
Competencies
Textbooks
iSchool Resources
Canvas Login and Tutorials
iSchool eBookstore
LIBR 202 Resources
Supplemental Readings
WebData Pro Tutorials

This course will be available on Canvas beginning one week prior to the start of semester [August 25, 2014]. You will be enrolled into the course site automatically.

Course Description

This course covers the design, querying, and evaluation of information retrieval systems, from web hierarchies to controlled vocabularies.

Course Requirements

Complete LIBR 203 Online Social Networking: Technology and Tools.
This is a mandatory 1 unit course that introduces students to the various e-learning tools used in the iSchool program. For more information, see: http://ischool.sjsu.edu/current-students/courses/core-courses-and-electives

Technology Requirements

Assignments

Assignment Learning Objectives Portion of
Course Grade
Individual Exercises (in support of the Projects)
  • WebDataPro Orientation
  • Attributes & Simple Data Structures
  • Writing a Rule
  • Basics of Vocabulary Design
  • User Research

1, 2, 3, 4, 5, 6, 7

10%

Group Project of Database Design

  • Database Design: Non-text Collection
  • Database Design & subject Analysis:
    Bibliographic Collection
  • Site Structures

1, 2, 3, 4, 5, 6, 7

20%
Group Project of IR System Review 3, 4 20%

Discussion

  • Self introduction
  • Leading group discussion on relevance
  • Participation by responding
1, 2, 5, 6, 7 10%
Term Paper 5, 6, 7 40%
Total   100%

Course Calendar
A course calendar is available from the course site at the start of the semester.

Assignment Due-Dates & Additional Information
Submit assignments by midnight Pacific Time on the due date. Late assignments are not accepted except in cases of serious illness or family emergency. Check the course site daily for announcements and discussion posts. It is students' responsibility to submit and maintain the electronic version of their work until the final grade is issued.

At the start of semester, students will be randomly assigned into groups (of optimal size of five) to complete the group projects of database design/evaluation and IR system (search engine) review.

For the IR system review, each group will choose one IR system (web/fulltext/multimedia search engine or OPAC), and all members in a group will work on the same chosen system. Each member will focus on one of different aspects of the chosen system (search functions, indexing mechanisms, interface design, effectiveness assessment, and collection scale/quality/general features), being responsible for sharing findings with other group members and later for writing up the corresponding part/section of the group report.

The term paper is to discuss emerging trends, technologies, or issues in the general areas of information processing, information retrieval, information management, and information use, based on review of scholarly literature. Students are to identify a topic of his/her interest, and the proposed topic needs to be approved by the instructor.

Writing Requirement
All written works should be word processed and free of grammatical and spelling errors. The APA guidelines of citation, references, and formatting are to be followed consistently. Resources for improving academic writing are available at the iSchool Student Writing Resources Center.

If the instructor finds that a student's writing is unacceptable, the instructor will require the student to sign up for online writing tutoring. The student will ask the tutor to confirm with the instructor that he/she is attending sessions.

Course Topics

Lesson Topics
0 Orientation
Blackboard Collaborate
8/30 9:00-11:30am PST
1
8/25
Introduction & Overview of course concepts
  • Science and practice
  • Information science and library science
  • Information retrieval
  • Use (search) vs. design of IR systems
2
9/1
IR systems and system design issues
  • IR systems for search & navigation
  • Introduction to metadata
  • Metadata systems
  • Hierarchical organization
3
9/8
Designing for search
  • Data structures & databases
  • Representation of information
    • Surrogate records
    • Attributes, Fields & values
    • Standards
    • Rules
  • Descriptive & subject access: overview
4
9/15
File Structure of IR systems
  • Inverted & sequential files
  • Relational database model
  • XML flat files of tagged records
  • Random access and binary search algorithm
5
9/22
Design processes
  • Eliciting information needs
  • Stages in the design process
  • Standards
  • Introduction to user research
  • Introduction to evaluation
6
9/29
Full-text indexing and relevance ranking
  • Keyword extraction
  • Term weighting
  • Hyperlink clustering for PageRank
  • Similarity and relevance prediction
7
10/6
User research
  • Card sort (for grouping structure design) & other techniques
  • Understanding user information-seeking
  • Cognitive vs. behavioral
  • Individualist vs. socio-economic perspectives
8
10/13
strong>Searching
  • Boolean logic (keywords vs. field combination)
  • Proximity operators
  • Wildcard, truncation, & field restriction
  • Relationships between data structures & search options
9
10/20
Relevance & evaluation
  • Relevance judgment: sampling & extrapolation
  • Evaluating individual searches
  • Precision, recall, and other measures
  • Evaluating IR systems
  • Other criteria for evaluation
10
10/27
Designing for navigation
  • Web structures & interface
  • Designing site maps
  • Hierarchies: when to be formally correct, when not to be
  • Methods for design: usability heuristics, HCI factors
  • Automatic grouping of search results (self organizing hierarchy)
11
11/3
Collaborative information seeking
  • Online community and social networking
  • Virtual teams of collaboration
  • Information sharing & selective dissemination
  • Collaborative filtering
12
11/10
Multimedia information retrieval
  • Machine translation & audio/speech indexing
  • Image/video indexing
  • Music indexing & retrieval
  • 3D modeling and entity extraction/tagging
13
11/17
New developments & trends:
  • Location awareness & mobile search
  • Geographic information system (GIS)
  • Visualization of information space
  • Knowledge extraction & automated question answering
14
12/1
(Term Paper DUE)

Course Workload Expectations

Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include but is not limited to:
Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.

Student time outside of class:
In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.

Course Prerequisites

LIBR 202 has no prequisite requirements.

Student Learning Outcomes

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

  1. Design two major kinds of information retrieval systems: metadata and web hierarchies.
  2. Understand the basic vocabulary and concepts of information retrieval (IR), and use them in class discussions and analyses of IR design projects; understand the concepts, principles, challenges, and work embodied in the assignments as representative of concepts, principles, challenges, and work described in course content.
  3. Identify standards and best practices for metadata, classification schema and hierarchies, and apply them in assignments.
  4. Identify an appropriate user group for an IR product, assess their information needs, conduct user research, and design an information retrieval system to meet those needs.
  5. Explain and apply basic design principles for usability, focused on the content and organization of information for retrieval.
  6. Use Boolean logic and other methods to query the databases created as class assignments with effective searches in both natural language and controlled vocabulary fields; navigate hierarchies efficiently.
  7. Evaluate a database information retrieval system, including its vocabularies, using standard measures such as recall and precision; evaluate interfaces for information retrieval using basic principles of interface design.

Core Competencies (Program Learning Outcomes)

LIBR 202 supports the following core competencies:

  1. E Design, query and evaluate information retrieval systems.
  2. G Demonstrate understanding of basic principles and standards involved in organizing information, including classification, cataloging, metadata, or other systems.

Textbooks

Required Textbooks:

  • Chowdhury, G. G. (2010). Introduction to modern information retrieval (3rd ed.). Neal-Schuman. Amazon: 1555707157. arrow gif indicating link outside sjsu domain

Recommended Textbooks:

  • Marchionini, G. (1997). Information seeking in electronic environments. Cambridge University Press. Available through Amazon: 0521586747. arrow gif indicating link outside sjsu domain
  • Morville, P. (2005). Ambient findability: What we find changes who we become. O'Reilly Media. Available through Amazon: 0596007655. arrow gif indicating link outside sjsu domain

Grading Scale

The standard SJSU School of Information Grading Scale is utilized for all iSchool courses:

97 to 100 A
94 to 96 A minus
91 to 93 B plus
88 to 90 B
85 to 87 B minus
82 to 84 C plus
79 to 81 C
76 to 78 C minus
73 to 75 D plus
70 to 72 D
67 to 69 D minus
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:

  • C represents Adequate work; a grade of "C" counts for credit for the course;
  • B represents Good work; a grade of "B" clearly meets the standards for graduate level work;
    For core courses in the MLIS program (not MARA) — INFO 200, INFO 202, INFO 204 — the iSchool requires that students earn a B in the course. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation.  You must repeat the class the following semester. If -on the second attempt- you do not pass the class with a grade of B or better (not B- but B) you will be disqualified.
  • A represents Exceptional work; a grade of "A" will be assigned for outstanding work only.

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

University Policies

General Expectations, Rights and Responsibilities of the Student

As members of the academic community, students accept both the rights and responsibilities incumbent upon all members of the institution. Students are encouraged to familiarize themselves with SJSU's policies and practices pertaining to the procedures to follow if and when questions or concerns about a class arises. See University Policy S90-5 at http://www.sjsu.edu/senate/docs/S90-5.pdf. More detailed information on a variety of related topics is available in the SJSU catalog at http://info.sjsu.edu/web-dbgen/catalog/departments/LIS.html. In general, it is recommended that students begin by seeking clarification or discussing concerns with their instructor. If such conversation is not possible, or if it does not serve to address the issue, it is recommended that the student contact the Department Chair as a next step.

Dropping and Adding

Students are responsible for understanding the policies and procedures about add/drop, grade forgiveness, etc. Refer to the current semester's Catalog Policies section at http://info.sjsu.edu/static/catalog/policies.html. Add/drop deadlines can be found on the current academic year calendars document on the Academic Calendars webpage at http://www.sjsu.edu/provost/services/academic_calendars/. The Late Drop Policy is available at http://www.sjsu.edu/aars/policies/latedrops/policy/. Students should be aware of the current deadlines and penalties for dropping classes.

Information about the latest changes and news is available at the Advising Hub at http://www.sjsu.edu/advising/.

Consent for Recording of Class and Public Sharing of Instructor Material

University Policy S12-7, http://www.sjsu.edu/senate/docs/S12-7.pdf, requires students to obtain instructor's permission to record the course and the following items to be included in the syllabus:

  • "Common courtesy and professional behavior dictate that you notify someone when you are recording him/her. You must obtain the instructor's permission to make audio or video recordings in this class. Such permission allows the recordings to be used for your private, study purposes only. The recordings are the intellectual property of the instructor; you have not been given any rights to reproduce or distribute the material."
    • It is suggested that the syllabus include the instructor's process for granting permission, whether in writing or orally and whether for the whole semester or on a class by class basis.
    • In classes where active participation of students or guests may be on the recording, permission of those students or guests should be obtained as well.
  • "Course material developed by the instructor is the intellectual property of the instructor and cannot be shared publicly without his/her approval. You may not publicly share or upload instructor generated material for this course such as exam questions, lecture notes, or homework solutions without instructor consent."

Academic integrity

Your commitment, as a student, to learning is evidenced by your enrollment at San Jose State University. The University Academic Integrity Policy F15-7 at http://www.sjsu.edu/senate/docs/F15-7.pdf 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 Student Conduct and Ethical Development website is available at http://www.sjsu.edu/studentconduct/.

Campus Policy in Compliance with the American Disabilities Act

If you need course adaptations or accommodations because of a disability, or if you need to make special arrangements in case the building must be evacuated, please make an appointment with me as soon as possible, or see me during office hours. Presidential Directive 97-03 at http://www.sjsu.edu/president/docs/directives/PD_1997-03.pdf requires that students with disabilities requesting accommodations must register with the Accessible Education Center (AEC) at http://www.sjsu.edu/aec to establish a record of their disability.

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