CS 498

Fall 2015 All Classes

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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.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

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CS 498 class schedule data for fall 2015
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61482	Laboratory	AB1	12:00PM -12:50PM	W	0220 Siebel Center for Comp Sci	Campbell, R Kesan, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Digital Forensics
61483	Laboratory	AB2	1:00PM -1:50PM	W	0220 Siebel Center for Comp Sci	Campbell, R Kesan, J	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Digital Forensics
61457	Lecture	AL1	10:00AM -11:15AM	MW	1302 Siebel Center for Comp Sci	Campbell, R Kesan, J Bashir, M	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Digital Forensics Section Info: Digital forensics concerns the acquisition and investigation of evidence from all devices capable of storing digital data and is often related to the prosecution of cyber crime and fraud. The class introduces the process of forensic investigation, chain of custody, forensics analysis, court proceedings and the legal justice system. It includes examination of digital storage and network traffic from personal computers, enterprise systems, embedded devices, and mobiles. Laboratory student exercises will use the tools and techniques of digital forensics investigators. Prerequisite: a basic knowledge of computer science concepts including operating systems and networking. Information about pre-requisites and the self-assessment quiz can be seen at this link - http://publish.illinois.edu/digitalforensics1/prerequisite/
63294	Discussion/ Recitation	BDA	9:00AM -9:50AM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
63295	Discussion/ Recitation	BDB	10:00AM -10:50AM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
63296	Discussion/ Recitation	BDC	11:00AM -11:50AM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64847	Discussion/ Recitation	BDD	12:00PM -12:50PM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64848	Discussion/ Recitation	BDE	1:00PM -1:50PM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64850	Discussion/ Recitation	BDF	1:00PM -1:50PM	WF	1105 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64851	Discussion/ Recitation	BDG	2:00PM -2:50PM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64852	Discussion/ Recitation	BDH	2:00PM -2:50PM	WF	1105 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64853	Discussion/ Recitation	BDI	3:00PM -3:50PM	WF	1304 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
64854	Discussion/ Recitation	BDJ	3:00PM -3:50PM	WF	1105 Siebel Center for Comp Sci	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Algorithms and Models of Comp
62835	Lecture	BL1	11:00AM -12:15PM	TR	1002 Electrical & Computer Eng Bldg	Prabhakaran, M Chekuri, C	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Algorithms and Models of Comp Section Info: This course (CS 374) will not count towards CS 400 level elective credit -- but will replace the requirements to take CS 373 and CS 473 Restriction(s): Restricted to Computer Engineering or Computer Science or Electrical Engineering or Statistics & Computer Science or Math & Computer Science or Computer Sci & Anthropology or Computer Sci & Astronomy or Computer Sci & Chemistry or Computer Sci & Linguistics major(s).
64645	Discussion/ Recitation	CA1	11:00AM -11:50AM	R	1304 Siebel Center for Comp Sci	Forsyth, D	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Probability in CS
64649	Discussion/ Recitation	CA2	2:00PM -2:50PM	R	1304 Siebel Center for Comp Sci	Forsyth, D	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Probability in CS
64650	Discussion/ Recitation	CA3	3:00PM -3:50PM	R	1304 Siebel Center for Comp Sci	Forsyth, D	Part of Term: 1 Date Range: 08/24/15-12/09/15 Section Title: Probability in CS
64642	Lecture-Discussion	CL1	10:00AM -10:50AM	MWF	1310 Digital Computer Laboratory	Forsyth, D	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Probability in CS
65109	Lecture	DL1	11:00AM -12:15PM	TR	124 Burrill Hall	Har-Peled, S	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Theory II
65315	Lecture	GFD	9:30AM -10:45AM	WF	1131 Siebel Center for Comp Sci	DeJong, G	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: AI for Computer Games Section Info: Artificial intelligence is becoming an important component of modern computer games. Example applications of AI include increasing the subtly, sophistication, and intelligent behavior of non-player characters, enhancing the realism of the game world?s dynamics, and adapting game play to fit the user. In the context of computer games, fundamental AI methods for learning, planning, inference, and intelligent control can often be greatly strengthened compared to their real world counterparts. This course focusses on AI methods in a game setting which will be contrasted with AI in the real world. Students will develop an understanding of the methods rooted in this foundational difference and develop an appreciation for the state of the art. Grading is based on written and programming homework, and in particular on a sequence of implementation projects. An understanding of AI concepts and a solid facility in programming are required. Prerequisite CS 440 / ECE 448
65575	Lecture-Discussion	IDS	9:00AM -11:50AM	T	46 Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Intro to Data Science Section Info: Course Description: This course is intended to introduce students to modern programs and technologies that are useful for organizing, manipulating, analyzing, and visualizing data. We start with an overview of the R language, which will become the foundation for your work in this class. Then we?ll move on to other useful tools, including working with regular expressions, basic UNIX tools, XML, and SQL. We?ll also cover supervised and unsupervised statistical learning techniques made possible by recent advances in computing power. This course is very computer-oriented, so it?s very important to take the time outside of class to learn by doing ? to explore the software we?ll be covering in class, and try out new skills on real datasets in the homework assignments.
49190	Lecture	MP3	11:00AM -12:15PM	WF	1109 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: Logic Section Info: Topic: This section is for undergraduate or graduate students.
64294	Lecture	OSP	ARRANGED	n.a.	ARR Siebel Center for Comp Sci	Woodley, M	Part of Term: 1 Date Range: 08/24/15-12/09/15 Special Approval: Instructor Approval Required Credit: 3 hours Section Title: Open Source Project
40091	Lecture	SL3	12:30PM -1:45PM	TR	1310 Digital Computer Laboratory	Yershova, G	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 3 hours Section Title: Virtual Reality Section Info: Fundamentals of virtual reality systems, including geometric modeling, transformations, graphical rendering, optics, the human vision system, the vestibular system, interface design, human factors, developer recommendations, and technological issues. Implementation exercises and a final project are included. Extensive programming background not required
40092	Lecture	SL4	12:30PM -1:45PM	TR	1310 Digital Computer Laboratory	Yershova, G	Part of Term: 1 Date Range: 08/24/15-12/09/15 Credit: 4 hours Section Title: Virtual Reality Section Info: Fundamentals of virtual reality systems, including geometric modeling, transformations, graphical rendering, optics, the human vision system, the vestibular system, interface design, human factors, developer recommendations, and technological issues. Implementation exercises and a final project are included. Extensive programming background not required Restriction(s): Restricted to Graduate - Urbana-Champaign.