CS 598

Fall 2012 Part of Term 1

Part of Term 1
Aug 27-Dec 12

Special Topics

Credit: 2 TO 4 hours.

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary.

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CS 598 class schedule data for fall 2012
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
46981	Lecture-Discussion	CW	9:00AM -11:50AM	W	109 Grad Sch of Lib & Info Science	Twidale, M	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Computer Supported Coop Work Section Info: Topic: Computer Supported Cooperative Work. PhD seminar; other graduate students may enroll with consent of instructor (twidale@illinois.edu). See section description at http://www.lis.illinois.edu/academics/courses/catalog. This section meets with LIS 590, Section CW, 47751. Restriction(s): Restricted to Doctor of Philosophy.
35989	Lecture-Discussion	CXZ	2:00PM -3:15PM	TR	1302 Siebel Center for Comp Sci	Zhai, C	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Advanced Information Retrieval Section Info: Topic: Advanced Topics in Information Retrieval. Advanced concepts, models, and algorithms in information retrieval and text mining, including both historical milestones and major recent developments in the field. Topics include information retrieval models, statistical language models, information retrieval evaluation, applications of machine learning in information retrieval and text mining, and other emerging new topics.
49222	Lecture-Discussion	GA	2:00PM -3:15PM	WF	1131 Siebel Center for Comp Sci	Agha, G	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Emerging Programming Paradigms Section Info: Topic: Emerging Programming Paradigms. A new generation of applications is changing the nature of programming with the need for scalability, parallelism, distribution, and mobility. Moreover, web applications require context awareness; cloud computing requires balancing availability, consistency and reliability; sensor networks use broadcast messages and have limited computational resources; and cyberphysical systems must also specify real-time control. The course will cover actor languages and related programming paradigms to address these challenges.
49828	Lecture-Discussion	HI	1:00PM -3:50PM	M	1131 Siebel Center for Comp Sci	Berlin, R Schatz, B	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Healthcare Infrastructure Section Info: Topic: Healthcare Infrastructure. Healthcare is the largest industry in the country, but the current infrastructure for providing healthcare is not viable. Recent advances in information technology promise radically different infrastructure that could provide a viable model for providing healthcare. This course will examine healthcare infrastructure through lectures and discussions, through text readings and web sites. There is a particular focus on measuring the health of populations, in the demographic era of chronic illness. Information sources are discussed in detail from medical literature and records to health brochures and monitors. There are no pre-requisites for this course, but students encouraged to use background experiences. Practical topics will be emphasized with the aim of revolutionizing an industry in transition. A semester project will be required, on information technology aspects of population health measurement. This section meets with LIS 590, Section HI.
42378	Lecture-Discussion	KGK	2:00PM -4:50PM	T	1 912 W Illinois	Sandvig, C Karahalios, K	Part of Term: 1 Date Range: 08/27/12-12/12/12 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Social Spaces on the Internet Section Info: Topic: Social Spaces on the Internet. The Internet is home to a panoply of varieties of human interaction. Social media, interactive games, telepresence, online environments, and simple text e-mails now mediate our normal experiences of education, medicine, politics, business, sociality, collective action, and more. As the Internet has become an infrastructure for social life and society itself, our ability to measure and represent that society is also transforming. In this cross-disciplinary university-wide seminar we will investigate the rise of "culture as data:" that is, the use of widespread networked computation to quantify, analyze, explain, and navigate our relationships to social institutions and each other. Students from all disciplines and colleges are welcome. There are no pre-requisites. This section meets with CAS 587, 30145.
59671	Lecture-Discussion	KN	11:00AM -12:15PM	TR	1103 Siebel Center for Comp Sci	Nahrstedt, K	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Advanced Multimedia Systems Section Info: Topic: Advanced Multimedia Systems. Multimedia data and underlying systems and networks that service multimedia data are becoming ubiquitous. In the "Advanced Multimedia Systems" class we will explore major advances that have been made in multimedia data, systems and networks over the last 10 years to enable next generation multimedia applications. We will take the end-to-end approach and explore an integrated view of multimedia systems ranging from 3D immersive video and audio, haptic and holographic video, advanced compression techniques H.264, MPEG4 and MPEG-7, new multimedia transport protocols, Quality of Service preservation for mobile multimedia, HDTV broadcasting systems, advanced CDN-P2P multimedia networks to multimedia data mining, 3D tele-immersive interactive systems, and subjective and objective Quality of Perception evaluation methods for next generation multimedia applications.
55918	Lecture-Discussion	LVK	9:30AM -10:45AM	TR	1214 Siebel Center for Comp Sci	Kale, L	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Parallel Programming Section Info: Topic: Parallel programming with migratable objects. This course will teach and explore a method for parallel programming that can be used to program multicore desktop (with and without accelerators), small clusters, as well as petascale/exascale computers, with the same programming model. The model is based on the idea of over-decomposing the computation into a large number of interacting objects, mostly independent of the number of processors, and to empower an intelligent runtime system decide where and when the objects execute. Pre-requisite: No specific course requirements. Good sequential programming experience in C++ and/or Java.
46989	Lecture-Discussion	PS	12:30PM -1:45PM	TR	1131 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 08/27/12-12/12/12 Credit: 4 hours Section Title: Mach Lrng for Signal Processng Section Info: Topic: Machine Learning for Signal Processing. Prerequisite: Linear algebra, Probability theory. Today we see an increasing need for machines that can understand complex real-world signals, such as speech, images, movies, music, biological and mechanical readings, etc. In this course we will cover the fundamentals of machine learning and signal processing as they pertain to this goal, as well as exciting recent developments. We will learn how to decompose, analyze, classify, detect and consolidate signals, and examine various commonplace operations such as finding faces from camera feeds, organizing personal music collections, designing speech dialog systems and understanding movie content. The course will consist of lectures and student projects and presentations. Students are expected to have a working knowledge of linear algebra, probability theory, and programming skills to carry an implementation of a final project (preferably in MATLAB, but all languages are welcome).