CS 498

Spring 2016 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 spring 2016
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61698	Laboratory	AB1	9:00AM -10:50AM	F	0222 Siebel Center for Comp Sci	Campbell, R Cunningham, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Digital Forensics II Section Info: This lab section will meet in 0222 Siebel Center
61697	Lecture	AL1	9:00AM -9:50AM	MW	1302 Siebel Center for Comp Sci	Campbell, R Cunningham, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Digital Forensics II Section Info: This is a course for graduate students and advanced undergraduates wanting to develop greater depth and breadth in digital forensics and assumes a basic knowledge of the material covered in Digital Forensics I. Topics include standards of evidence, investigatory procedures, forms of investigation, legal procedures, reasoning about evidence, psychology of cyber crime, anti-forensics, multimedia forensics, computer forensics, web browser forensics, embedded systems forensics, network forensics, cloud forensics, applications forensics, and fraud examination. It introduces known barriers and open challenges in the field. Prerequisite: Completion of Digital Forensics I or special permission granted by the instructor.
63485	Lecture-Discussion	BB3	12:30PM -1:45PM	WF	1109 Siebel Center for Comp Sci	Bailey, B	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Mobile Interaction Design Section Info: This course will teach students how to construct novel mobile experiences. Students will learn how to leverage the rich sensing capabilities of mobile devices to create interactions not possible with traditional computers. Methods for user research, iterative design, and implementation as applied to mobile applications will also be taught. Students will work in teams to apply lecture topics to semester design projects of their own choosing. Prerequisites include knowledge of object-oriented programming (Java) and access to a working mobile device (Android). Prior experience with mobile design or interface programming is not required.
63486	Lecture-Discussion	BB4	12:30PM -1:45PM	WF	1109 Siebel Center for Comp Sci	Bailey, B	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Mobile Interaction Design Section Info: This course will teach students how to construct novel mobile experiences. Students will learn how to leverage the rich sensing capabilities of mobile devices to create interactions not possible with traditional computers. Methods for user research, iterative design, and implementation as applied to mobile applications will also be taught. Students will work in teams to apply lecture topics to semester design projects of their own choosing. Prerequisites include knowledge of object-oriented programming (Java) and access to a working mobile device (Android). Prior experience with mobile design or interface programming is not required. Restriction(s): Restricted to Graduate - Urbana-Champaign.
61919	Discussion/ Recitation	BDA	9:00AM -9:50AM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61920	Discussion/ Recitation	BDB	10:00AM -10:50AM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61921	Discussion/ Recitation	BDC	10:00AM -10:50AM	WF	1109 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61922	Discussion/ Recitation	BDD	11:00AM -11:50AM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61923	Discussion/ Recitation	BDE	11:00AM -11:50AM	WF	1111 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61924	Discussion/ Recitation	BDF	12:00PM -12:50PM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61925	Discussion/ Recitation	BDG	1:00PM -1:50PM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61926	Discussion/ Recitation	BDH	1:00PM -1:50PM	WF	1105 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61927	Discussion/ Recitation	BDI	2:00PM -2:50PM	WF	1214 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
61928	Discussion/ Recitation	BDJ	2:00PM -2:50PM	WF	1105 Siebel Center for Comp Sci	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Algorithms and Models of Comp
60162	Lecture-Discussion	BL1	11:00AM -12:15PM	TR	1002 Electrical & Computer Eng Bldg	Viswanathan, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Algorithms and Models of Comp Section Info: This course is "CS 374" This course 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 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). Restricted to Undergrad - Urbana-Champaign.
61715	Discussion/ Recitation	CA1	10:00AM -10:50AM	R	1103 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Probability in CS
61717	Discussion/ Recitation	CA3	12:00PM -12:50PM	R	1103 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Probability in CS
61719	Discussion/ Recitation	CA5	2:00PM -2:50PM	R	1103 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 01/19/16-05/04/16 Section Title: Probability in CS
61714	Lecture	CL1	10:00AM -10:50AM	MWF	0216 Siebel Center for Comp Sci	Smaragdis, P	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Probability in CS Restriction(s): Restricted to Undergrad - Urbana-Champaign.
64122	Lecture	DF3	3:30PM -4:45PM	TR	1320 Digital Computer Laboratory	Forsyth, D	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Applied Machine Learning Section Info: Title: Applied Machine Learning Techniques of machine learning, with applications to various signal problems. Techniques covered will be: regression including linear regression, multiple regression, regression forests and nearest neighbors regression; classification with various methods including logistic regression, support vector machines, nearest neighbors, simple boosting and decision forests; clustering with various methods including basic agglomerative clustering and k-means; resampling methods, including cross-validation and the bootstrap; model selection methods, including AIC, stepwise selection and the lasso; hidden Markov models; model estimation in the presence of missing variables; and neural networks, including deep networks. The course is intended to support students who wish to apply machine learning methods,and will focus on tool-oriented and problem-oriented exposition. Application areas include computer vision, natural language, interpreting accelerometer data, and understanding audio data. Prereq: A course in probability or statistics, a course in linear algebra, and programming at the level of CS 225
64123	Lecture	DF4	3:30PM -4:45PM	TR	1320 Digital Computer Laboratory	Forsyth, D	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Applied Machine Learning Section Info: Title: Applied Machine Learning Title: Applied Machine Learning Techniques of machine learning, with applications to various signal problems. Techniques covered will be: regression including linear regression, multiple regression, regression forests and nearest neighbors regression; classification with various methods including logistic regression, support vector machines, nearest neighbors, simple boosting and decision forests; clustering with various methods including basic agglomerative clustering and k-means; resampling methods, including cross-validation and the bootstrap; model selection methods, including AIC, stepwise selection and the lasso; hidden Markov models; model estimation in the presence of missing variables; and neural networks, including deep networks. The course is intended to support students who wish to apply machine learning methods,and will focus on tool-oriented and problem-oriented exposition. Application areas include computer vision, natural language, interpreting accelerometer data, and understanding audio data. Prereq: A course in probability or statistics, a course in linear algebra, and programming at the level of CS 225 Restriction(s): Restricted to Graduate - Urbana-Champaign.
61859	Lecture	DL1	3:30PM -4:45PM	TR	116 Roger Adams Laboratory	Erickson, J	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Theory II Section Info: This course is an advanced algorithms course intended for students who have taken CS 374 (currently CS 498 section B). CS students who have taken CS 373 and need to complete the algorithms requirement should take CS 473.
43755	Lecture	DM3	3:30PM -4:45PM	TR	1109 Siebel Center for Comp Sci	Marinov, D	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Software Testing 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	3:30PM -4:45PM	TR	1109 Siebel Center for Comp Sci	Marinov, D	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Software Testing 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.
61851	Lecture	RK1	11:00AM -12:15PM	MW	1310 Digital Computer Laboratory	Kumar, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Art and Science of Web Prog Section Info: Presents client- and server-side technologies that enable modern Web applications. Topics include the building blocks of the Web (HTML, CSS, the Document Object Model, Javascript) and data exchange (HTTP, JSON, RESTful APIs, and SQL/NoSQL databases). Programming assignments will expose students to CSS preprocessors, grid systems, and full-stack Javascript frameworks that scaffold development and testing. In addition, students will work in teams to design, implement and deploy a full-featured web application. Prerequisites: CS225.
61850	Lecture	RK2	11:00AM -12:15PM	MW	1310 Digital Computer Laboratory	Kumar, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Art and Science of Web Prog Section Info: Presents client- and server-side technologies that enable modern Web applications. Topics include the building blocks of the Web (HTML, CSS, the Document Object Model, Javascript) and data exchange (HTTP, JSON, RESTful APIs, and SQL/NoSQL databases). Programming assignments will expose students to CSS preprocessors, grid systems, and full-stack Javascript frameworks that scaffold development and testing. In addition, students will work in teams to design, implement and deploy a full-featured web application. Prerequisites: CS225. Restriction(s): Restricted to Graduate - Urbana-Champaign.
50232	Lecture	SL3	12:30PM -1:45PM	TR	103 Talbot Laboratory	Lavalle, S	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Virtual Reality Restriction(s): Restricted to Undergrad - Urbana-Champaign.
50234	Lecture	SL4	12:30PM -1:45PM	TR	103 Talbot Laboratory	Lavalle, S	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Virtual Reality Restriction(s): Restricted to Graduate - Urbana-Champaign.