INFO 490

Fall 2016 Part of Term 1

Part of Term 1
Aug 22-Dec 7

Special Topics

SHOW FINAL EXAM SCHEDULE

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.

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INFO 490 class schedule data for fall 2016
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
65246	Laboratory	AB1	4:00PM -5:50PM	W	Art-East Annex, Studio 2	Linder, S	Part of Term: 1 Date Range: 08/22/16-12/07/16 Section Title: Makerspace Section Info: Students must also register for the lecture section.
65245	Lecture	AL1	3:00PM -3:50PM	W	Art-East Annex, Studio 2	Linder, S	Part of Term: 1 Date Range: 08/22/16-12/07/16 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.
66924	Laboratory Lecture	IA3 IA3	12:00PM -12:50PM 11:00AM -12:50PM	F W	Grad Sch of Lib & Info Science Grad Sch of Lib & Info Science	Bashir, M Bashir, M	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 3 hours Section Title: Information Trust Section Info: The importance of Information Trust to society has increased dramatically with the growth of and dependence on cyberinfrastructure. The objective of this course is to provide an introduction to the concepts, technologies, practices and challenges of Information Trust. The course takes a broad view of Information Security and Privacy and covers the essential principles for the protection of information systems; the relevant technologies; risk management; organizational concerns; policies, human aspects; legal approaches; criminology; and ethical issues. Students will gain an appreciation for the difficulty of designing, developing, deploying and maintaining information systems, services and software products that are secure and comply with expectations of privacy. Course content will address the multi-faceted challenges associated with this space and the complex tradeoffs that are often entailed in addressing these challenges in practice. The course format will include lectures and a discussion/lab session that will provide hands on experience. Meets with INFO 490 IA4, LIS 490 IA3 and LIS 490 IA4. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
66925	Laboratory Lecture	IA4 IA4	12:00PM -12:50PM 11:00AM -12:50PM	F W	Grad Sch of Lib & Info Science Grad Sch of Lib & Info Science	Bashir, M Bashir, M	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: Information Trust Section Info: The importance of Information Trust to society has increased dramatically with the growth of and dependence on cyberinfrastructure. The objective of this course is to provide an introduction to the concepts, technologies, practices and challenges of Information Trust. The course takes a broad view of Information Security and Privacy and covers the essential principles for the protection of information systems; the relevant technologies; risk management; organizational concerns; policies, human aspects; legal approaches; criminology; and ethical issues. Students will gain an appreciation for the difficulty of designing, developing, deploying and maintaining information systems, services and software products that are secure and comply with expectations of privacy. Course content will address the multi-faceted challenges associated with this space and the complex tradeoffs that are often entailed in addressing these challenges in practice. The course format will include lectures and a discussion/lab session that will provide hands on experience. Meets with INFO 490 IA3, LIS 490 IA3 and LIS 490 IA4. Restriction(s): Restricted to Graduate - Urbana-Champaign or Law - Urbana-Champaign.
65396	Lecture-Discussion	JP	12:00PM -2:20PM	M	Education Building	Pintar, J	Part of Term: 1 Date Range: 08/22/16-12/07/16 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: 08/22/16-12/07/16 Credit: 3 hours Section Title: Foundations of Data Science Section Info: Foundations of Data Science This class is an asynchronous, online course. Students MUST register by August 24 at 4 pm. Registration in this course after that point will not be permitted. 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. This class meets with STAT 430 RB (CRN 66998). Restriction(s): Not intended for students with Freshman class standing.