INFO 202-18
INFO 202-19
Information Retrieval System Design
Spring 2020 Syllabus
Dr. Lei Zhang
E-mail
Office Hours: Email or Zoom by appointment
Syllabus Sections Prerequisites Requirements Assignments Workload Expectations CLOs Competencies Textbooks |
iSchool Resources Canvas Login and Tutorials eBookstore |
INFO 202 Resources WebData Pro Tutorials LibGuide for 202 |
Canvas Information: Courses will be available beginning January 23rd at 6 am PT 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.
Course Description
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.
Course Requirements
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, including Collaborate. For more information, see INFO 203 Online Learning.
Technology Requirements
INFO 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. Before starting INFO 202, students must:
- Have the minimal home or work computing environment:
Home Computing Environment - Meet the School of Information's Technology Literacy requirements:
Technology Literacy Requirements
Assignments
Assignments |
Learning Objectives / Competencies |
Graded Points |
Exercises (in support of the Projects) 1. Creating Structured Metadata a. Attributes & Designing a Data Structureb. Implementing a Data Structure (WebDataPro) c. Creating Standards for Database Content (Rule Writing) 2. Vocabulary Design Basics 3. Conducting User Research (Card Sorting) |
E, F, G, H |
25 points |
Projects
|
E, F, G, H |
|
Discussion & Participation |
E, F, G, H |
15 points |
Total |
|
100 points |
Project 1 is done in groups, with points based on group work and individual contributions. Projects 2 and 3 are done in small groups, with the option to work solo. Exercises help prepare students for the project work; they are graded credit/partial-credit/no-credit.
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 Calendar
A detailed course calendar is available from the course site on the first day of the semester. It is subject to minor changes with fair notice.
Week |
Topics |
Assignments & Due Dates |
Week 1 Jan 23-28 |
Introduction to the course & Overview of concepts
|
Introductions due Jan 26
|
Part 1: Designing IR Systems |
||
Week 2 Jan 29-Feb 4 |
Introduction to IR systems and system design issues
|
Exercise 1A Part 1 due Feb 4 |
Weeks 3 & 4 Feb 5-18 |
Designing for search
|
Exercise 1A Part 2 due Feb 11 Exercise 1B due Feb 11 Exercise 1C due Feb 18 |
Week 5 Feb 19-25 |
Organization of information
|
|
Week 6 Feb 26-Mar 3 |
Work time |
Project 1 Part A1 due Mar 3 Discussion 1 due Mar 3 |
Week 7 Mar 4-10 |
Design processes
|
Project 1 Part A2 due Mar 10 |
Part 2: Querying IR Systems |
||
Week 8 Mar 11-17 |
User research
|
Project 1 Part B1 due Mar 17 |
Weeks 9 & 10 Mar 18-31 |
Search
|
Project 1 Part B2 due Mar 29 Exercise 2 due Mar 29 |
Weeks 11 & 12 Apr 1-14 (Spring break: Mar 30-Apr 3) |
Work time |
Project 2 due Apr 14 Discussion 2 due Apr 14 |
Part 3: Evaluating IR Systems |
||
Week 13 Apr 15-21 |
Evaluation
|
|
Week 14 Apr 22-28 |
Designing for navigation
|
Exercise 3 due Apr 28 |
Week 15 Apr 29-May 5 |
New developments & trends |
Discussion 3 due May 5 |
Week 16 May 6-11 |
Wrap up |
Project 3 due May 11 |
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
INFO 202 has no prequisite 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.
- Learn database management software in order to implement database design, information structures, and create search interface.
- Assess user information needs, curate a small collection, and develop a controlled vocabulary for search access to that collection for the target user group.
Core Competencies (Program Learning Outcomes)
INFO 202 supports the following core competencies:
- E Design, query, and evaluate information retrieval systems.
- F Use the basic concepts and principles related to the selection, evaluation, organization, and preservation of physical and digital information items.
- 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.
- H Demonstrate proficiency in identifying, using, and evaluating current and emerging information and communication technologies.
Textbooks
Required Textbooks:
- Tucker, V.M. (Ed.). (2019). Information retrieval system design: Principles & practice (6th ed.). AcademicPub/XanEdu. ordering instructions
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 or undergraduate (for BS-ISDA);
For core courses in the MLIS program (not MARA, Informatics, BS-ISDA) — 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.
Graduate Students are advised that it is their responsibility to maintain a 3.0 Grade Point Average (GPA). Undergraduates must maintain a 2.0 Grade Point Average (GPA).
University Policies
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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