CS 498

Fall 2011 All Classes

All Classes

Special Topics

Credit: 0 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 498 class schedule data for fall 2011
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
42376	Lecture	BIS	9:30AM -10:45AM	TR	1214 Siebel Center for Comp Sci	Forsyth, D Smaragdis, P	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Building Intelligent Systems. We study core methods to build intelligent systems. These methods, which can be applied widely, include classifiers, dynamic programming, detectors and recognizers. Evaluation is by a series of projects, applying these methods to practical examples.
55964	Lecture	DH3	11:00AM -12:15PM	TR	1214 Siebel Center for Comp Sci	Hoiem, D	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Computational Photography. This course explores how to use computer vision techniques to enhance, manipulate, and create media from photo collections. Topics will include photo stitching, face morphing, texture synthesis, recoloring, and 3D reconstruction. This projects-based course is intended for advanced undergraduates; some programming ability and knowledge of linear algebra will be assumed. This section is for either undergraduate or graduate students.
55965	Lecture	DH4	11:00AM -12:15PM	TR	1214 Siebel Center for Comp Sci	Hoiem, D	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Computational Photography. This course explores how to use computer vision techniques to enhance, manipulate, and create media from photo collections. Topics will include photo stitching, face morphing, texture synthesis, recoloring, and 3D reconstruction. This projects-based course is intended for advanced undergraduates; some programming ability and knowledge of linear algebra will be assumed. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
40109	Lecture	EA3	2:00PM -3:15PM	TR	1111 Siebel Center for Comp Sci	Amir, E	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Reasoning in AI. Reasoning algorithms in artificial intelligence, including logical reasoning, probabilistic reasoning, and reasoning with representations that include both logic and probabilities. Among the topics covered are quick overview of propositional reasoning, First-Order Logic (FOL) basics and FOL reasoning, exact inference and learning in Bayesian Networks; probabilistic inference with sampling methods, including Metropolis-Hastings and Gibbs sampling and Markov-Chain Monte-Carlo Sampling; approximate inference using Variational methods; lifted inference in Relational Probabilistic Models, and reasoning methods that use logic in probabilistic inference. The course will include homework assignments. This section is for undergraduate or graduate students.
52640	Lecture	EA4	2:00PM -3:15PM	TR	1111 Siebel Center for Comp Sci	Amir, E	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Reasoning in AI. Reasoning algorithms in artificial intelligence, including logical reasoning, probabilistic reasoning, and reasoning with representations that include both logic and probabilities. Among the topics covered are quick overview of propositional reasoning, First-Order Logic (FOL) basics and FOL reasoning, exact inference and learning in Bayesian Networks; probabilistic inference with sampling methods, including Metropolis-Hastings and Gibbs sampling and Markov-Chain Monte-Carlo Sampling; approximate inference using Variational methods; lifted inference in Relational Probabilistic Models, and reasoning methods that use logic in probabilistic inference. The course will include homework assignments. In addition, students taking the class for 4 units will complete a final project. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
58253	Lecture	FU3	9:30AM -10:45AM	TR	1103 Siebel Center for Comp Sci	Fu, W	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Socio-Computer Interaction. With the growth of social technologies like Twitter, Facebook, Wikipedia, blogs, and online support groups, information technology is no longer just about information. This course will examine a sampling of the social and technical challenges social technologies must solve to be successful. Students will learn to analyze and understand the social impact of these applications, as well as how to use high-level tools to analyze, design, or build technologies that facilitate online social interactions. Topics will include (1) introduction of computational tools for search, organize, coordinate, share, and communicate information, (2) impact of interface designs on group processes and large-scale emergent behavior, and (3) existing and future designs that achieve successful social-computer interactions. This class is open to advanced undergraduates and graduate students with either technical or non-technical backgrounds. This section is for either undergraduates or graduate students.
58254	Lecture	FU4	9:30AM -10:45AM	TR	1103 Siebel Center for Comp Sci	Fu, W	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Socio-Computer Interaction. With the growth of social technologies like Twitter, Facebook, Wikipedia, blogs, and online support groups, information technology is no longer just about information. This course will examine a sampling of the social and technical challenges social technologies must solve to be successful. Students will learn to analyze and understand the social impact of these applications, as well as how to use high-level tools to analyze, design, or build technologies that facilitate online social interactions. Topics will include (1) introduction of computational tools for search, organize, coordinate, share, and communicate information, (2) impact of interface designs on group processes and large-scale emergent behavior, and (3) existing and future designs that achieve successful social-computer interactions. This class is open to advanced undergraduates and graduate students with either technical or non-technical backgrounds. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
58239	Lecture	HI3	11:00AM -12:15PM	WF	1131 Siebel Center for Comp Sci	Berlin, R Schatz, B	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Health Informatics. 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. 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 is for undergraduate or graduate students.
58240	Lecture	HI4	11:00AM -12:15PM	WF	1131 Siebel Center for Comp Sci	Berlin, R Schatz, B	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Health Informatics. 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. 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 is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
42391	Lecture	JH3	11:00AM -12:15PM	WF	1103 Siebel Center for Comp Sci	Hockenmaier, J	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Introduction to Natural Language Processing This course will provide an introduction to computational linguistics, from morphology (word formation) and syntax (sentence structure) to semantics (meaning) and natural language processing applications such as parsing, machine translation, generation and dialog systems. Prerequisites: Formal language and automata theory (CS373 or equivalent). Programming experience is necessary for the assignments. Prior exposure to linguistics is not required. This section is for either undergraduate or graduate students.
50658	Lecture	JH4	11:00AM -12:15PM	WF	1103 Siebel Center for Comp Sci	Hockenmaier, J	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Introduction to Natural Language Processing This course will provide an introduction to computational linguistics, from morphology (word formation) and syntax (sentence structure) to semantics (meaning) and natural language processing applications such as parsing, machine translation, generation and dialog systems. Prerequisites: Formal language and automata theory (CS373 or equivalent). Programming experience is necessary for the assignments. Prior exposure to linguistics is not required. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
43368	Lecture	SH3	12:30PM -1:45PM	WF	0222 Siebel Center for Comp Sci	Hinrichs, S	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Malware Analysis Lab. In this course, students examine malware from multiple perspectives. They learn techniques to capture malicious code in the wild. They learn how to safely and accurately analyze the actions of malicious code. The students apply similar techniques to deployed software products to determine whether they are vulnerable to common malware exploits. Students will spend much of their time in the lab performing hands on experiments with malware and analysis techniques. While the specifics of particular malware instances change very quickly, the basic analysis techniques remain relatively stable. The analysis techniques learned in this course will serve the students will in their careers as security analysts and researchers. Prerequisite: CS 460 This section is for undergraduate or graduate students.
40098	Lecture	SH4	12:30PM -1:45PM	WF	0222 Siebel Center for Comp Sci	Hinrichs, S	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Malware Analysis Lab. In this course, students examine malware from multiple perspectives. They learn techniques to capture malicious code in the wild. They learn how to safely and accurately analyze the actions of malicious code. The students apply similar techniques to deployed software products to determine whether they are vulnerable to common malware exploits. Students will spend much of their time in the lab performing hands on experiments with malware and analysis techniques. While the specifics of particular malware instances change very quickly, the basic analysis techniques remain relatively stable. The analysis techniques learned in this course will serve the students will in their careers as security analysts and researchers. Prerequisite: CS 460 This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
40091	Lecture	SL3	12:30PM -1:45PM	TR	1111 Siebel Center for Comp Sci	Lavalle, S	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 3 hours Section Info: Topic: Planning Algorithms. Prerequisite: CS 473 or consent of instructor. This course provides an introduction to planning algorithms for both discrete and continuous spaces. Issues related to robotics, sensing, motion planning, and control theory will be addressed. A combination of theoretical and implementation issues will be considered. This section is for undergraduate or graduate students. This section will utilize conference room 4407 Siebel, as well.
40092	Lecture	SL4	12:30PM -1:45PM	TR	1111 Siebel Center for Comp Sci	Lavalle, S	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Planning Algorithms. Prerequisite: CS 473 or consent of instructor. This course provides an introduction to planning algorithms for both discrete and continuous spaces. Issues related to robotics, sensing, motion planning, and control theory will be addressed. A combination of theoretical and implementation issues will be considered. This section is for graduate students only. This section will utilize conference room 4407 Siebel, as well. Restriction(s): Restricted to Graduate - Urbana-Champaign.