INFO 490

Spring 2018 Part of Term 1

Part of Term 1
Jan 16-May 2

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 0 TO 4 hours.

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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.

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INFO 490 class schedule data for spring 2018
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
65142	Lecture Laboratory	ML1 ML1	11:00AM -11:50AM ARRANGED	F n.a.	English Building Location Pending	Ginger, J Ginger, J	Part of Term: 1 Date Range: 01/16/18-05/02/18 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. Weekly class lecture will introduce students to trends and ideas in Makerspaces, Peer-to-Peer learning, design processes, creativity, computational thinking, and practicing makers. 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 familiar 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 and peer-feedback. 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.	English Building Location Pending	Ginger, J Ginger, J	Part of Term: 1 Date Range: 01/16/18-05/02/18 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. Weekly class lecture will introduce students to trends and ideas in Makerspaces, Peer-to-Peer learning, design processes, creativity, computational thinking, and practicing makers. 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 familiar 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 and peer-feedback. 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 Graduate students only, at the sophomore level or higher. 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: 01/16/18-05/02/18 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 17, 2018. No new students will be allowed to register for this class after that. 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.