CS 498

Spring 2009 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 spring 2009
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
47232	Laboratory	AB	ARRANGED	n.a.	Location Pending	Hwu, W	Part of Term: 1 Date Range: 01/20/09-05/06/09
47231	Lecture	AL	9:30AM -10:50AM	TR	1105 Siebel Center for Comp Sci	Hwu, W	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 4 hours Section Info: Topic: Programming Massively Parallel Microprocessors. Prerequisites: ECE 411 or CS 225 and CS 433. This course introduces the student to parallel programming, for processors with many computation cores (typically graphical processing units (GPUs))/ Topics include exploitation of parallelism, programming models, hardware organizations, mapping computations to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms./Six lab assignments and one final project reinforce and supplement the lecture and reading materials. This section meets with ECE 498, AL
43755	Lecture	DM3	2:00PM -3:15PM	TR	1302 Siebel Center for Comp Sci	Marinov, D	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Software Testing. This course will provide an introduction to systematic and organized approaches to software testing. Topics to be covered include testing process, coverage criteria, automatic and manual generation of test inputs, execution of tests, and validation of test outputs. This section is for undergraduate OR graduate students.
48196	Lecture	DM4	2:00PM -3:15PM	TR	1302 Siebel Center for Comp Sci	Marinov, D	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 4 hours Section Info: Topic: Software Testing. This course will provide an introduction to systematic and organized approaches to software testing. Topics to be covered include testing process, coverage criteria, automatic and manual generation of test inputs, execution of tests, and validation of test outputs. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
41438	Lecture	GG	12:30PM -1:45PM	WF	106B3 Engineering Hall	Garnett, G	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic - Game Design: Creating Virtual Worlds. Prerequisite: CS 242 In this course, you will learn principles of game design, game theory and current video game technologies related to multiplayer games and virtual worlds. Topics will include theory of games, story crafting, game engines, graphics, physics simulations, AI simulation, world design, play testing, multi-player interaction models, user interface design. You will apply theoretical concepts taught during lectures to a semester-long video game design project of your choosing. Meets with INFO 490 GG and MUSIC 404 C. Restriction(s): Restricted to Computer Science or Statistics & Computer Science or Math & Computer Science major(s).
39659	Lecture	KK3	12:30PM -1:45PM	TR	1304 Siebel Center for Comp Sci	Karahalios, K	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Social Computing and Visualization. Social Visualization - visualization of social data for social purposes. By social data we mean the traces that people leave as they go about their daily routine. These data may come from different sources such as the online world (i.e. email, IM logs, blogs, etc.) and the physical world (i.e. captured through sensors such as voice by microphone, movement and location data by camera, gps, ubisense device, etc.) Visualizations of these kinds of data can be used for increasing awareness of one's social environment and for highlighting cues and patterns implicit in communication. This class explores visualizing social interaction in networked spaces. We emphasize visualizing the network identity of the person over compilations of online data that characterize information visualization. This section is for undergraduate or graduate students.
51263	Lecture	KK4	12:30PM -1:45PM	TR	1304 Siebel Center for Comp Sci	Karahalios, K	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 4 hours Section Info: Topic: Social Computing and Visualization. Social Visualization - visualization of social data for social purposes. By social data we mean the traces that people leave as they go about their daily routine. These data may come from different sources such as the online world (i.e. email, IM logs, blogs, etc.) and the physical world (i.e. captured through sensors such as voice by microphone, movement and location data by camera, gps, ubisense device, etc.) Visualizations of these kinds of data can be used for increasing awareness of one's social environment and for highlighting cues and patterns implicit in communication. This class explores visualizing social interaction in networked spaces. We emphasize visualizing the network identity of the person over compilations of online data that characterize information visualization. This section is for graduate students only. Restriction(s): Restricted to Graduate - Urbana-Champaign.
50445	Lecture-Discussion	LA	ARRANGED	n.a.	ARR Siebel Center for Comp Sci	Angrave, L	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Undergraduate Research Laboratory In this apprenticeship-style, hands-on laboratory, students learn to i) Pose testable research questions; ii) Write competitive grant proposals; iii) Create novel solutions using software and/or hardware; iv) Draw valid scientific conclusions; and v) Present and publish results, conclusions and other materials. This team-based course is for undergraduate students only. Restriction(s): Restricted to Undergrad - Urbana-Champaign.