Summer 2021 Syllabus
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Principles and practices for the creation of subject vocabularies for the organization and retrieval of information-bearing objects. This course is designed to help you develop and apply the knowledge and skills in abstract writing, indexing of diverse resources, and taxonomy and thesaurus construction. Special purpose collections, intranets, and e-commerce are some examples of settings where vocabulary design is a valuable professional skill.
Coursework will consist of lectures, readings, online discussions, five assignments, and a final project.
- Assignment 1: Image indexing
Examine the concept-based and content-based image indexing through searching digital images. (Supports CLO #1, CLO #3, CLO #5)
- Assignment 2: Journal indexing & abstracting
Write an abstract for a journal article and index the article with the use of thesaurus. (Supports CLO #1, CLO #3, CLO #6)
- Assignment 3: Web indexing
Examine the index style and format of A-Z web indexes through established evaluation criteria. (Supports CLO #1, CLO #3, CLO #5)
- Assignment 4: Facet analysis
Extract index terms from subject statements and organize these terms into facets. (Supports CLO #2, CLO #5)
- Assignment 5: Relationship analysis
Establish the thesaural relationships between the index terms and determine the form of these terms. (Supports CLO #2, CLO #5)
- Final project: Thesaurus construction
Design and construct a thesaurus including a classified index and an alphabetical index through five phases: domain analysis, term extraction, facet analysis, relationship analysis, and final term selection. Final project is done in groups, with points based on group work and individual contributions. (Supports CLO #2, CLO #4, CLO #5)
- Discussion and participation
Provide a substantive response to the discussion topics and respond to other students' postings. (Supports CLO #1, CLO #6)
Introduction to the course
Controlled vs. free indexing languages
Introductions due June 6
|Image indexing||Assignment 1 due June 13|
Assignment 2 due June 20Discussion 1 due June 20
Assignment 3 due June 27
June 28-July 4
Discussion 2 due July 4
|Facet analysis||Assignment 4 due July 11|
|Final term selection||Assignment 5 due July 25|
July 26-August 1
|Taxonomy/thesaurus evaluation||Discussion 3 due August 1|
Knowledge organization systems
Final project due August 5Final project presentation due August 6
|Assignment 1: Image indexing||5%|
|Assignment 2: Journal indexing & abstracting||15%|
|Assignment 3: Web indexing||10%|
|Assignment 4: Facet analysis||12%|
|Assignment 5: Relationship analysis||12%|
|Final project: Thesaurus construction||30%|
|Discussion and participation:
Introductions, 3 Discussions, Final project presentation
All assignments are due by 11:59 pm Pacific Time on the due date. Grades will be reduced for late work by ten percent per day late. Please contact the instructor prior to a deadline in cases of illness or emergency.
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 Learning Outcomes
Upon successful completion of the course, students will be able to:
- Apply principles of indexing, abstracting, and subject analysis.
- Apply the principles of thesaurus structure and use to create a NISO Z39.19-compliant thesaurus.
- Differentiate between the design of a single document index and the design of multi-document indexes.
- Analyze the information needs of a specific community and design a metadata structure and appropriate vocabularies/taxonomies for a collection useful to that community.
- Identify thesaurus applications in new indexing environments such as subject gateways, portals, and digital libraries.
- Identify and evaluate the socio-technical dimensions of knowledge organization.
Core Competencies (Program Learning Outcomes)
INFO 247 supports the following core competencies:
- E Design, query, and evaluate information retrieval systems.
- G Demonstrate understanding of basic principles and standards involved in organizing information such as classification and controlled vocabulary systems, cataloging systems, metadata schemas or other systems for making information accessible to a particular clientele.
- Cleveland, D. B., & Cleveland, A. D. (2013). Introduction to indexing and abstracting (4th ed.). Westport, CT: Libraries Unlimited. Available as free eBook through King Library
- NISO (2010). ANSI/NISO Z39.19-2005 (R2010): Guidelines for the construction, format, and management of monolingual controlled vocabularies. NISO Press. Available free as online PDF.
- Hedden, H. (2016). The accidental taxonomist (2nd ed.). Medford, New Jersey: Information Today, Inc. Available as free eBook through King Library
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|
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 or Informatics) — 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 if you wish to stay in the program. 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).
Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at: https://www.sjsu.edu/curriculum/courses/syllabus-info.php. Make sure to visit this page, review and be familiar with these university policies and resources.
In order to request an accommodation in a class please contact the Accessible Education Center and register via the MyAEC portal.
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