INFO 490

Spring 2017 All Classes

All Classes

Credit: 0 TO 4 hours.

Topics of current interest.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated if topics vary. Prerequisite: Consent of instructor. Other prerequisites as specified for each topic offering. See Class Schedule.

Section Status updates every 10 minutes.
INFO 490 class schedule data for spring 2017
CRN Type Section Time Day Location Instructor Section Details
64187
Lecture-Discussion
GHU
1:00PM -3:50PM
M
Grad Sch of Lib & Info Science
Brooks, I
Part of Term:
1
Date Range:
01/17/17-05/03/17
Special Approval:
Instructor Approval Required
Credit:
3 hours
Section Title:
Global Health Informatics
Section Info:
The course will examine the current state of global health informatics from both a local and global perspective, including opportunities and challenges. Focus will be placed on the transition from paper-based records to electronic systems, with a particular emphasis on large international open-source initiatives and use of mobile devices. Guest speakers will share their experiences with WHO, international education based on mobile devices, and regulatory issues. Instructor approval required for undergraduates. Please email Dr. Ian Brooks at ianb@illinois.edu for permission to enroll. Meets with LIS 590 GHG, LIS 490 GHU and INFO 590 GHG. This class will meet in 131 LIS Bldg.
Restriction(s):
Restricted to Undergrad - Urbana-Champaign.
65142
Lecture
Laboratory
ML1
ML1
11:00AM -11:50AM
ARRANGED
F
n.a.
Wohlers Hall
Location Pending
Linder, S
Ginger, J
Linder, S
Ginger, J
Part of Term:
1
Date Range:
01/17/17-05/03/17
Credit:
3 hours
Section Title:
Makerspace B: Open Studio
Section Info:
This course introduces learners to a variety of rapid prototyping and fabrication techniques in collaboration with the CU Community Fab Lab. Each week students will be provided a general project prompt and set to work with a tool area in response to a simple design exploration challenge. Over the course of the semester they will have an opportunity to become familiarity with the basics of several advanced small-scale manufacturing tools, such as 3D printers, laser engravers, digital embroidery machines, graphic drawing tablets and small board electronics. There is no dedicated lab section time for the course, instead students will be expected to come into open hours (which extend throughout the week/weekend) at the Fab Lab to work on projects by seeking assistance from staff and one another, according to their own schedule each week. While there is no studio fee students will be expected to find, purchase, borrow or otherwise provide their own materials for several projects. The class will have both group and independent work and make use of Moodle for assignment hand-in, peer-feedback and to host a portfolio which will be presented at the end of the semester. Please note that this course will emphasize self-guided learning and time management, students will need to rely on online tutorials and information resources to explore methods and complete much of the work in a rapid-response fashion. Projects will be small and contained, in order to allow for exposure to several tools and mediums. Students who have taken a prior Makerspace course at the FabLab are eligible to participate in this class, but it is also not a requirement. Graduate students will have an additional documentation project component emphasizing digital literacy. This class is for undergraduate students only, at the sophomore level or higher. Graduate students should enroll in INFO 490 section ML2.
Restriction(s):
Not intended for students with Freshman class standing. Not intended for Graduate - Urbana-Champaign.
65144
Lecture
Laboratory
ML2
ML2
11:00AM -11:50AM
ARRANGED
F
n.a.
Wohlers Hall
Location Pending
Linder, S
Ginger, J
Linder, S
Ginger, J
Part of Term:
1
Date Range:
01/17/17-05/03/17
Credit:
4 hours
Section Title:
Makerspace B: Open Studio
Section Info:
This course introduces learners to a variety of rapid prototyping and fabrication techniques in collaboration with the CU Community Fab Lab. Each week students will be provided a general project prompt and set to work with a tool area in response to a simple design exploration challenge. Over the course of the semester they will have an opportunity to become familiarity with the basics of several advanced small-scale manufacturing tools, such as 3D printers, laser engravers, digital embroidery machines, graphic drawing tablets and small board electronics. There is no dedicated lab section time for the course, instead students will be expected to come into open hours (which extend throughout the week/weekend) at the Fab Lab to work on projects by seeking assistance from staff and one another, according to their own schedule each week. While there is no studio fee students will be expected to find, purchase, borrow or otherwise provide their own materials for several projects. The class will have both group and independent work and make use of Moodle for assignment hand-in, peer-feedback and to host a portfolio which will be presented at the end of the semester. Please note that this course will emphasize self-guided learning and time management, students will need to rely on online tutorials and information resources to explore methods and complete much of the work in a rapid-response fashion. Projects will be small and contained, in order to allow for exposure to several tools and mediums. Students who have taken a prior Makerspace course at the FabLab are eligible to participate in this class, but it is also not a requirement. Graduate students will have an additional documentation project component emphasizing digital literacy. This section is for graduate students only. Undergraduate students should enroll in INFO 490 section ML1.
Restriction(s):
Not intended for Undergrad - Urbana-Champaign.
64015
Online
RB2
ARRANGED
n.a.
n.a.
Brunner, R
Part of Term:
1
Date Range:
01/17/17-05/03/17
Credit:
3 hours
Section Title:
Advanced Data Science
Section Info:
Advanced Data Science: This class is an asynchronous, online course. NOTE: Students must be registered for this course by 4 pm on Wednesday January 18, 2017. No new students will be allowed to register for this class after that. The materials and deadlines for this course can be found here: https://github.com/lcdm-uiuc/info490-sp17 Extensions to assignment deadlines will NOT be granted so make sure to check the site as soon as you register. This course will introduce advanced data science concepts by building on the foundational concepts presented in INFO 490: Foundations of Data Science. Students will first learn how to perform more statistical data exploration and constructing and evaluating statistical models. Next, students will learn machine learning techniques including supervised and unsupervised learning, dimensional reduction, and cluster finding. An emphasis will be placed on the practical application of these techniques to high-dimensional numerical data, time series data, image data, and text data. Finally, students will learn to use relational databases and cloud computing software components such as Hadoop, Spark, and NoSQL data stores. Students must have access to a fairly modern computer, ideally that supports hardware virtualization, on which they can install software. This class is open to sophomores, juniors, seniors and graduate students in any discipline who have either taken a previous INFO 490 data science course or have received instructor permission.
Restriction(s):
Not intended for students with Freshman class standing.
62346
Lecture-Discussion
RE
12:00PM -2:20PM
W
Location Pending
Pintar, J
Part of Term:
1
Date Range:
01/17/17-05/03/17
Credit:
3 hours
Section Title:
GenTech, SocNet, Re-Image Race
Section Info:
Topics: Genetic Technologies, Social Networks and the Re-imagining of Race. This seminar/practicum examines the production of genetic knowledge and the ways in which this knowledge comes into play in the collective re-imagining of ethnic and racial categories, identities and futures, ranging from the pseudoscientific racist to the utopian "post-racial." Students will engage in collaborative research as we track in real time the dissemination of genetic and other scientific and technological discoveries through diverse networks, (social, academic, religious, and genealogical, both hobbyist and commercial). Meets with INFO 590 RE, REES 596 RE and REES 496 RE.
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