INFO 590

Spring 2015 All Classes

All Classes

Advanced Special Topics

Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in Informatics, intended to augment existing curriculum. See Class Schedule for specific topics and prerequisites.

1 to 4 graduate hours. No professional credit. May be repeated if topics vary. Prerequisite: Graduate Student Standing.

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INFO 590 class schedule data for spring 2015
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
62700	Lecture-Discussion	BW	9:30AM -10:50AM	TR	ARR Nat Center for Suprcomp Appl	Brunner, R	Part of Term: 1 Date Range: 01/20/15-05/06/15 Credit: 4 hours Section Title: HP Visualization Data Analytic Section Info: High Performance Visualization for Large Scale Scientific Data Analytics. As the size of data generated from numerical simulations continues to increase, visualization is now playing an increasingly more important role in assisting the scientists to obtain insight into the simulation output. To equip students with the ability to analyze very large-scale data sets, this course will provide an in-depth discussion of the state-of-the-art in large scale scientific visualization algorithms and systems. In addition to the fundamental visualization techniques, we will cover parallel implementation of selected algorithms for high-performance architectures such as the Blue Waters supercomputer. Students will get hands-on experience visualizing large-scale scientific data sets. This course is intended for graduate students in computer science or areas related to computational sciences who are interested in learning how to use visualization to analyze large-scale scientific data sets, and also will be of interest to students who are considering scientific visualization as a research topic for their advanced studies. Prerequisites for students include the following: experience working in a Unix environment, experience developing and running codes written in C or C++, knowledge in 3D computer graphics and OpenGL/GPU programming is recommended, knowledge in parallel programming tools such as MPI is recommended. This class meets in room 1040 NCSA Bldg. For more information about this class, including a draft syllabus, please see http://lcdm.astro.illinois.edu/teaching/info590sp15.html Restriction(s): Restricted to Graduate - Urbana-Champaign.
62705	Lecture-Discussion	LC	1:00PM -3:50PM	W	37 Education Building	Lane, H	Part of Term: 1 Date Range: 01/20/15-05/06/15 Credit: 4 hours Section Info: Description: This course will focus on recent advances using advanced technologies to promote and sustain learning, both in formal and informal settings. Possible topics covered include digital games, immersive environments, mobile devices, affective computing, pedagogical agents, and intelligent tutoring systems. Relevant evidence-based principles and theories of learning with technology will also be covered (such as Mayer's principles of multi-media learning, engagement, and preparation for future learning). Students in the class will be expected to design and implement a course project (either alone or in teams) that can involve the creation of a novel educational technology (e.g., a mobile app) or in the use of an existing technology in a novel way. No technical skills (e.g., programming) are required for this course. Restriction(s): Restricted to Graduate - Urbana-Champaign.
62704	Lecture-Discussion	RE	11:00AM -2:50PM	M	206 David Kinley Hall	Pintar, J	Part of Term: 1 Date Range: 01/20/15-05/06/15 Credit: 4 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 REES 496/596 sections RE and INFO 490 section RE Restriction(s): Restricted to Graduate - Urbana-Champaign.