IS 390

Spring 2022 All Classes

All Classes

Special Topics in Information Studies

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 3 hours.

Directed and supervised investigation of selected topics in information studies that may include among others computers and culture; information policy; community information systems; production, retrieval and evaluation of scientific or social science knowledge; computer-mediated communication; and computer-supported cooperative work.

May be repeated. Prerequisite: Sophomore standing.

My Favorites

My Schedule

Section Status updates every 10 minutes.

IS 390 class schedule data for spring 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
72376	Lecture-Discussion	CIP	9:30AM -10:50AM	TR	430 Armory	Song, Y	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Consulting Info Professionals Section Info: This course is designed to provide practical and hands-on training by simulating consulting projects. Students will develop proficiencies in problem-solving, team management, storytelling, and professional communications. As they learn the theories and practices of consulting engagements, students will have opportunities to discover how their knowledge in information sciences can be applied to various types of consulting services. The transferrable skills acquired in this class are applicable to other workplace settings. Always Restricted to Information Sciences majors. At this time, we do not plan on lifting the restrictions on the course. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. Questions may be sent to bsis-advising@illinois.edu. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
66789	Online	CML	3:00PM -4:55PM	M	n.a.	Bosch, N	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Concepts of Machine Learning Section Info: Prerequisite: Students should be familiar with the concepts of tabular data (tables) and data types (categorical, ordinal, continuous, etc.) and be able to implement these concepts in Python using Pandas. Either STAT/CS/IS 107, IS205, INFO 407, or at least 1 semester of programming experience using Python and Pandas is recommended as a prerequisite. Students should also be comfortable with basic geometry concepts such as points, lines, and distances. Sophomore, Junior, or Senior standing. A dramatic increase in computing power has enabled new areas of data science to develop in statistical modeling and artificial intelligence, often called Machine Learning. Machine learning covers predictive and descriptive learning, and bridges theoretical and empirical ideas across disciplines. We will focus on concepts and methods for predictive learning: estimating models from data to predict unknown outcomes. Model types will include decision trees, linear models, nearest neighbor methods, and others as time permits. We will cover classification and regression using these models, as well as methods needed to handle large datasets. Lastly, we will discuss deep neural networks and other methods at the forefront of machine learning. We situate the course components in the “data science life cycle” as part of the larger set of practices in the discovery and communication of scientific findings. Restricted to Information Sciences majors until 1/14/22 by noon. INFO Minors will be able to register starting 1/11/22 by noon. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. We will not provide overrides, please wait until the course restrictions are removed. Questions may be sent to bsis-advising@illinois.edu. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
72304	Lecture-Discussion	RGS	2:00PM -3:20PM	TR	212 1205 W Oregon	Tilley, C	Part of Term: 1 Date Range: 01/18/22-05/04/22 Degree Notes: Camp Honors/Chanc Schol course. Credit: 3 hours Section Title: Race, Gender, Sex in Comics Section Info: This course meets in room 212 at 1205 W. Oregon St., Urbana. All in the Gutter: Race, Gender, and Sexuality in Comics: This course is a critical, historical, scholarly exploration of US comics engagement with race, gender, and sexuality. Reading comics from a range of genres and formats from the past 150 years, we will consider 1) how comics have affirmed and challenged social and cultural norms, 2) changing visual, textual, authorial, and publishing conventions for comics engaging with race, gender, and sexuality, and 3) the ways visual culture problematizes the representation and circulation of complex identities. This course will count as GenEds for iSchool students (other students should confirm with their college): Humanities & the Arts and also Cultural Studies: U.S. Minority Cultures. Restricted to students in the Campus Honors Program. At this time, we do not plan on lifting the restrictions on the course. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. Questions may be sent to bsis-advising@illinois.edu. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign. Restricted to Chancellor's Scholar-CHPHonors students.