ILS-Z 399 TOPICS IN INFORMATION AND LIBRARY SCIENCE (3 CR.)
Study of specific topics in information and library science.
2 classes found
Spring 2020
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 13089 | Open | 1:00 p.m.–2:15 p.m. | MW | I 232 | Soe Y |
Regular Academic Session / In Person
LEC 13089: Total Seats: 22 / Available: 21 / Waitlisted: 0
Show Details for section 13089Lecture (LEC)
- Above class meets with ILS-Z 519
- Above class open to undergraduates only
Topic: Information analytics
COURSE DESCRIPTION AND OBJECTIVES As we live in an information-rich world, our ability to discover, understand, and communicate meaningful patterns in data is almost as important as writing well. The aim of this course is to provide an introduction to collecting, analyzing, representing, and communicating data.
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 31682 | Open | 9:30 a.m.–10:45 a.m. | TR | SY 210 | Soe Y |
Regular Academic Session / In Person
LEC 31682: Total Seats: 15 / Available: 15 / Waitlisted: 0
Show Details for section 31682Lecture (LEC)
- Above class meets with ILS-Z 645
Topic: Social/ethical aspcts big data
COURSE DESCRIPTION This course introduces students to new social and ethical challenges arising from the use of data in a broad sense, and the technical and societal approaches to address such challenges. More specifically, this course provides a survey of the social, political, legal, and organizational issues that surround the creation, dissemination, and use of big data from the perspective of social informatics. LEARNING OBJECTIVES By the end of this course, students will: - Understand the role of big data in organizational decision making - Understand the ways in which the integration of big data is changing the culture, structure, and work practices of complex organizations - Understand the social, political, legal, and organizational impacts of big data - Develop mature stances with regard to big data ethics as a computing professional PREREQUISITES There are no prerequisites. Any student planning to pursue a career in a field related to data science is welcome to enroll. This course would be particularly relevant to students interested in Information and Library Science (ILS), data science, computer science, social sciences, cultural studies, or policy studies.