INFO 490

Fall 2015 All Classes

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Credit: 0 TO 4 hours.

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1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in separate terms. 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 fall 2015
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
65246	Laboratory	AB1	4:00PM -5:50PM	T	Location Pending	Ginger, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Makerspace Section Info: Students must also register for the lecture section.
65245	Lecture	AL1	4:00PM -4:50PM	M	Location Pending	Ginger, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: Makerspace Section Info: This course is an exploration of what can happen when you combine the capabilities of a Fab Lab with the possibilities of art education. It will include regular alternating classroom and studio sessions. Classroom topics covered will include an overview of the history, purpose and meaning of community-oriented makerspaces as well related scholarship in public engagement, digital literacy and art education. Studio assignments will incorporate learning about open source software for graphic and 3D design, methods for rapid prototyping and production, and practice developing workshops, curriculum and deployable makerspaces for a variety of learners. Students will have a chance to investigate a variety of mediums and interfaces, such as papercrafts, plastics, wood, and small-board electronics as well as tablets, 3D printers and scanners, electronic cutters, milling machines and a laser engraver. All work will be summarized and presented in a web-based portfolio at the end of the class. Must also register for lab. The labs will meet in the CU Fab Lab in Art Annex II.
65396	Lecture-Discussion	JP	12:00PM -2:20PM	M	161 Noyes Laboratory	Pintar, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: Design & Prog Text Based Games Section Info: INFO 490 JP: Designing and Programming Text Base Games and Simulations. In this course, you will be introduced to the "design work" of game authoring, and will apply these theoretical ideas to specific programming practices and skills. You will become proficient in Inform 7, a programming language and design system for interactive fiction (IF), and text-based computer games and simulations. By the end of the semester you will have developed a game or literary work of IF, and made a substantive contribution to a team-written, historical simulation project, dramatically recreating a key moment in Illinois history. No prior programming knowledge is required for students to be successful in the course. Students will be expected to bring a laptop to class. Restriction(s): Not intended for students with Freshman class standing.
65222	Online	RB	ARRANGED	n.a.	n.a.	Brunner, R	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: Foundations of Data Science Section Info: Foundations of Data Science This class is an asynchronous, online course. This course will build a practical foundation for data science by teaching students basic tools and techniques that can scale to large computational systems and massive data sets. Students will first learn how to work at a Unix command prompt before learning about source code control software like git and the github site. Next, the Python programming language will be covered, with a focus on specific aspects of the language and associated Python modules that are relevant for Data Science. Python will be introduced and used primarily via the IPython (or Jupyter) Notebooks, and will cover the Numpy, Scipy, MatPlotlib, Pandas, Seaborn, and scikit_learn Python modules. These capabilities will be demonstrated through simple data science tasks such as obtaining data, cleaning data, visualizing data, and basic data analysis. 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. Restriction(s): Not intended for students with Freshman class standing.