IS 595

Fall 2020 All Classes

All Classes

Advanced Topics in Organization & Representation

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Credit: 2 TO 4 hours.

Variety of newly developed and advanced topics courses within the fields of Organization & Representation, intended to augment the existing Information Sciences curricula.

2 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated in the same or separate semesters to a maximum of 16 hours, if topics vary.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 595 class schedule data for fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	73263	Online	LD1	1:00PM -3:50PM	W	n.a.	Choi, I Cole, T Jett, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Linked Data Processing Section Info: Prerequisites: IS 505-Information Organization and Access (formerly IS 501) or IS 515-Information Modeling (formerly IS 561). Concurrent enrollment in one of the listed prerequisite courses above is required if none of the prerequisite options has already been completed. This course examines 3 practical applications of linked open data (LOD) and introduces students to tools and methods used to create such applications. Building on Semantic Web information models and the Resource Description Framework (RDF), as well as (more fundamentally) on related theories and models of information and bibliographic metadata (explored in more depth in related courses / prerequisites -- see attached), this course gives students hands-on experience with: 2 serializations of RDF (Turtle and JSON-LD); triple stores and SPARQL; and JavaScript-based applications that leverage LOD to provide context, enhance interoperability, and facilitate knowledge discovery and organization. This course demonstrates the practical utility of JSON-LD, SPARQL, and RDF. Using a case study approach with examples drawn from both the humanities and the sciences, students will learn how to apply Semantic Web information models and serialization formats, and will gain a better understanding of the potential of LOD. Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Information Sciences department.
	73937	Online	LDO	1:00PM -3:50PM	W	n.a.	Choi, I Cole, T Jett, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Linked Data Processing Section Info: Prerequisites: IS 505-Information Organization and Access (formerly IS 501) or IS 515-Information Modeling (formerly IS 561). Concurrent enrollment in one of the listed prerequisite courses above is required if none of the prerequisite options has already been completed. This course examines 3 practical applications of linked open data (LOD) and introduces students to tools and methods used to create such applications. Building on Semantic Web information models and the Resource Description Framework (RDF), as well as (more fundamentally) on related theories and models of information and bibliographic metadata (explored in more depth in related courses / prerequisites -- see attached), this course gives students hands-on experience with: 2 serializations of RDF (Turtle and JSON-LD); triple stores and SPARQL; and JavaScript-based applications that leverage LOD to provide context, enhance interoperability, and facilitate knowledge discovery and organization. This course demonstrates the practical utility of JSON-LD, SPARQL, and RDF. Using a case study approach with examples drawn from both the humanities and the sciences, students will learn how to apply Semantic Web information models and serialization formats, and will gain a better understanding of the potential of LOD. Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Information Sciences department.