CS 498

Fall 2016 Part of Term 1

Part of Term 1
Aug 22-Dec 7

Special Topics

SHOW FINAL EXAM SCHEDULE

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 2016
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61482	Laboratory	AB1	12:00PM -12:50PM	W	Siebel Center for Comp Sci	Campbell, R Kesan, J	Part of Term: 1 Date Range: 08/22/16-12/07/16 Section Title: Digital Forensics
61483	Laboratory	AB2	1:00PM -1:50PM	W	Siebel Center for Comp Sci	Campbell, R Kesan, J	Part of Term: 1 Date Range: 08/22/16-12/07/16 Section Title: Digital Forensics
61457	Lecture	AL1	10:00AM -11:15AM	MW	Siebel Center for Comp Sci	Campbell, R Kesan, J Bambenek, J Bashir, M	Part of Term: 1 Date Range: 08/22/16-12/07/16 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/
65109	Lecture-Discussion	DL1	9:30AM -10:45AM	WF	Digital Computer Laboratory	Chekuri, C Mehta, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: Theory II
65315	Lecture	GFD	11:00AM -12:15PM	WF	Siebel Center for Comp Sci	DeJong, G	Part of Term: 1 Date Range: 08/22/16-12/07/16 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
66333	Lecture-Discussion	HS3	12:30PM -1:45PM	WF	Digital Computer Laboratory	Sundaram, H	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 3 hours Section Title: Social & Information Networks Section Info: Topic: Networks are to be found everywhere: from your familiar social networks to buyer-seller markets to protein-protein interactions. This class is an introduction to network science and we shall cover a broad range of concepts including: random graphs; networks and social contexts, networks and game theory, information diffusion and community detection. We shall discuss both classic questions about networks (how to model the spread of disease, what kinds of networks support decentralized search?) as well as more recent questions on networks with attributes and how to analyze massive networks efficiently.
66399	Lecture-Discussion	HS4	12:30PM -1:45PM	WF	Digital Computer Laboratory	Sundaram, H	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: Social & Information Networks Section Info: Topic: Networks are to be found everywhere: from your familiar social networks to buyer-seller markets to protein-protein interactions. This class is an introduction to network science and we shall cover a broad range of concepts including: random graphs; networks and social contexts, networks and game theory, information diffusion and community detection. We shall discuss both classic questions about networks (how to model the spread of disease, what kinds of networks support decentralized search?) as well as more recent questions on networks with attributes and how to analyze massive networks efficiently. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65575	Lecture-Discussion	IDS	9:00AM -11:50AM	T	Grad Sch of Lib & Info Science	Stodden, V	Part of Term: 1 Date Range: 08/22/16-12/07/16 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.
66825	Lecture	RK1	11:00AM -12:15PM	MW	Digital Computer Laboratory	Kumar, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 3 hours Section Title: The Art of Web Programming
66826	Lecture	RK2	11:00AM -12:15PM	MW	Digital Computer Laboratory	Kumar, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: The Art of Web Programming Restriction(s): Restricted to Graduate - Urbana-Champaign.
40091	Lecture	SL3	11:00AM -12:15PM	MW	Siebel Center for Comp Sci	Yershova, G	Part of Term: 1 Date Range: 08/22/16-12/07/16 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	11:00AM -12:15PM	MW	Siebel Center for Comp Sci	Yershova, G	Part of Term: 1 Date Range: 08/22/16-12/07/16 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.