CS 598

Fall 2011 All Classes

All Classes

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 2011
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
58261	Lecture-Discussion	ACK	10:00AM -11:50AM	W	508 Psychology Building	Kirlik, A	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Proseminar in Human Factors. The purpose of the seminar is to present the student with an understanding of the methodology, content, and research process in human factors. One aspect focuses on the current content of human factors research with an emphasis on faculty research on this campus. The second aspect examines the process of human factors research, addressing the particular issues in experimental design, data analysis, write up, and presentation that are relatively unique to applied psychological research. Prior background in human factors is neither a requirement, nor even expected. It is however important that the student be interested in the applications of psychological theory to applied problems, especially to problems in human-computer interaction and human interaction with technology more generally. This section meets with PSYC 593 ACK, 38128. Restriction(s): Restricted to Graduate - Urbana-Champaign.
35989	Lecture-Discussion	CXZ	2:00PM -3:15PM	TR	1131 Siebel Center for Comp Sci	Zhai, C	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Advanced Topics in Information Retrieval. Advanced concepts, models, and algorithms in information retrieval and major recent developments in the field, including historical milestones in information retrieval research, evaluation methodology, vector space retrieval model, probabilistic retrieval models, learning to rank algorithms, probabilistic topic models, information retrieval systems, text analytics, and topics of research frontiers in information retrieval.
49222	Lecture-Discussion	GA	2:00PM -3:15PM	WF	1111 Siebel Center for Comp Sci	Agha, G	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Emerging Programming Paradigms. A new generation of applications is changing the nature of programming. Web applications require context awareness. Sensor networks use broadcast messages and have limited computational resources. Cyberphysical systems must provide real-time control. Cloud computing requires balancing availability, consistency and reliability. The seminar will study programming models and languages for such systems.
42378	Lecture-Discussion	KGK	9:30AM -10:45AM	WF	1103 Siebel Center for Comp Sci	Karahalios, K	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Social Computer Mediated Communication. This is a project based course that looks at the theory and practice of computer mediated communication (CMC) with an emphasis on the social setting. We look at the history of CMC, social motivation and technological forces for using such systems and the conventions that evolved. Students will design and create their own social CMC systems as the course progresses.
46032	Lecture-Discussion	MAN	3:30PM -4:45PM	TR	1111 Siebel Center for Comp Sci	Prabhakaran, M	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Applied Cryptography. Cryptography is a crucial component in building systems that are "secure." This course will provide a theoretically sound foundation in applied cryptography. We shall see fundamental cryptographic notions and how cryptographic primitives can be used to create a broad range of applications with well-defined security guarantees.
54730	Lecture	NV	11:00AM -12:20PM	TR	1304 Siebel Center for Comp Sci	Vaidya, N	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Distributed Algorithms. Prerequisites: ECE 428 or ECE 438. Distributed algorithms for wired networks, including algorithms for consensus, clock synchronization, mutual exclusion, broadcast; proofs of correctness of distributed algorithms; fault-tolerant distributed algorithms; distributed algorithms for wireless networks. Meets with ECE 598, Section NV, 54453.
46989	Lecture-Discussion	PS	12:30PM -1:45PM	TR	1131 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours 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).
58308	Lecture-Discussion	RAR	3:30PM -4:45PM	TR	112 Transportation Building	Rutenbar, R	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Probabilistic Graphical Models for AI. Probabilistic graphical models underly many critical representation, reasoning and inference tasks in modern AI. They come in many flavors, from Bayesian Nets to Markov Random Fields. There is now a coherent body of work on how to learn them, interrogate them, and optimize them. We will survey the field, along with relevant background on probability and optimization.
46042	Lecture-Discussion	SS	12:30PM -1:45PM	WF	1103 Siebel Center for Comp Sci	Sinha, S	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Probabilistic Methods for Biological Sequence Analysis. This course will present some of the important research topics pertaining to the computational processing of genomic sequences, focusing on probabilistic approaches to the problem. Computational techniques will be discussed in the context of the important biological process of gene regulation, and problems such as sequence alignment, motif finding, and module detection, will be studied in detail. A recurrent theme of the course will be comparative genomics -- the paradigm of examining data from multiple species for improving the extracted signal.