Information Retrieval System Design
Spring 2019 Syllabus
Canvas Login and Tutorials
|INFO 202 Resources
LibGuide for 202
WebData Pro Tutorials
Canvas Information: Courses will be available beginning on the January 24th at 6 am PST, unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. In that case, the class will open on the first day that the class meets.
You will be enrolled in the Canvas site automatically.
This course covers the design, querying, and evaluation of information retrieval systems, from web hierarchies to controlled vocabularies.
Note: the iSchool requires that students earn a B in this course. If the grade is less than B (B- or lower) after the first attempt, you will be placed on administrative probation, and 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.
Complete INFO 203 Online Learning: Tools and Strategies for Success.
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 INFO 203 Online Learning.
- Have the minimal home or work computing environment:
- Meet the School of Information's Technology Literacy requirements:
- LIBR 202 students will use WebData Pro, a web-based database management and information retrieval system, to create databases, manage database structures, and records, and create a web-based interface for searching the database. WebData Pro is compatible with current browsers for Windows, Mac OS X, and iOS.
|Assignment||Learning Objectives||Portion of
|Individual Exercises (in support of the Projects)
Group Projects (Database & Hierarchy Design)
|Technology Report (term paper)
||5, 6, 7||20%|
|Online Discussion||1, 2, 5, 6, 7||(25% in total)|
Assignment Due-Dates & Additional Information
Submit assignments by 11:30 pm Pacific Time on the due date. Late submission will not be accepted unless appropriate documentation of legitimate cause for the delay is provided, either as part of a prior arrangement or timely afterward. Request for deadline extension will be handled the same way as of RP (incomplete), in accordance to the university/school policy. It is students' responsibility to submit and maintain the electronic version of their work until the final grade is issued.
At the start of the semester, students will be randomly assigned into groups (of optimal size of five) to complete the group projects of database/hierarchy design and peer evaluation as well as within-group online discussion on relevance.
The term paper is a short report discussing a current or emerging "Information Retrieval" technology, technique, or service/system of choice. Students are to identify a topic of his/her interest, and the proposed topic needs to be approved by the instructor.
Online discussion on assigned topics (except for self-intro) will be graded based on meeting a minimum expectation of postings as tracked by the Canvas system, with necessary adjustment for quality of contribution. Self-intro and all individual exercises will be graded as CR/NC, but group projects and term paper will be letter graded.
The SJSU iSchool's Standard Grading Scale will be used to translate letter grades to percentage scores. Per-assignment scores are added up proportionately to yield the total of earned points, which in turn is converted back into a letter grade using the same scale.
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 Calendar (tentative)
Zoom Meeting (mandatory)
Sat. 9:00-11: 30 am PST
|Introduction & Overview of course concepts||
|IR systems and system design issues||Ex-1A-I DUE; Self-intro ends|
|Designing for search||
Ex-1A-II, III & Ex-1B DUE
|File Structure of IR systems||Ex-1C & GP-1(A1) DUE|
|Design processes||GP-1 (A2) DUE; Leading posts for class discussion DUE|
|Full-text indexing and relevance ranking||
GP-1 (B1) DUE
GP-1 (B2) Ex-2 DUE
Ex-3 DUE; Term paper topic approved
|Relevance & evaluation||.|
|Designing for navigation||Leading posts for group discussion DUE|
|Collaborative information seeking||
GP-2 (Parts A & B) DUE
|New developments & trends||Group Discussion-Relevance ends|
|(Research & writing term paper)||
Class Discussion-Reflection ends
|.||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.
INFO 202 has no prerequisite requirements.
Course Learning Outcomes
Upon successful completion of the course, students will be able to:
- Design two major kinds of information retrieval systems: metadata and web hierarchies.
- 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.
- Identify standards and best practices for metadata, classification schema and hierarchies, and apply them in assignments.
- 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.
- Explain and apply basic design principles for usability, focused on the content and organization of information for retrieval.
- 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.
- 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)
INFO 202 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.
- Tucker, V.M. (Ed.). (2018). Information retrieval system design: Principles & practice (edition 5.1). AcademicPub/XanEdu. Available as eBook, softcover, or spiralbound; see ordering instructions.
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: http://www.sjsu.edu/gup/syllabusinfo/. 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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