CS 498

Fall 2017 All Classes

All Classes

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.

CS 498 class schedule data for fall 2017
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
Bambenek, J
Part of Term:
1
Date Range:
08/28/17-12/13/17
Section Title:
Digital Forensics
61483
Laboratory
AB2
1:00PM -1:50PM
W
0220 Siebel Center for Comp Sci
Campbell, R
Kesan, J
Bambenek, J
Part of Term:
1
Date Range:
08/28/17-12/13/17
Section Title:
Digital Forensics
61457
Lecture
AL1
10:00AM -11:15AM
MW
1302 Siebel Center for Comp Sci
Campbell, R
Kesan, J
Bambenek, J
Part of Term:
1
Date Range:
08/28/17-12/13/17
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/
68911
Lecture
AM3
12:30PM -1:50PM
TR
3017 Electrical & Computer Eng Bldg
Miller, A
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
3 hours
Section Title:
Applied Cryptography
68912
Lecture
AM4
12:30PM -1:50PM
TR
3017 Electrical & Computer Eng Bldg
Miller, A
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
4 hours
Section Title:
Applied Cryptography
Restriction(s):
Restricted to Computer Science major(s). Restricted to Graduate - Urbana-Champaign.
69283
Online
AMO
ARRANGED
n.a.
n.a.
Forsyth, D
Part of Term:
1
Date Range:
08/28/17-12/13/17
Special Approval:
Instructor Approval Required
Credit:
4 hours
Section Title:
Applied Machine Learning
Section Info:
This course is only for students that are in the Computer Science MCS-DS Program. Additional Coursera ID verification and ProctorU fees may apply. Description: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.
Restriction(s):
Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
65109
Lecture-Discussion
DL1
9:30AM -10:45AM
WF
1310 Digital Computer Laboratory
Chan, T
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
4 hours
Section Title:
Theory II
69636
Lecture-Discussion
OL3
11:00AM -12:15PM
TR
3269 Beckman Institute
Zilles, C
Herman, G
Sohn, M
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
3 hours
Section Title:
Intro to Online Learning Sys
Section Info:
In this project-based course, students will learn about online learning systems as they develop questions and tools for an existing online learning platform. Students will learn core educational theories about how to make effective online learning systems including perspectives from statistics, cognitive science, and motivational research.
Restriction(s):
Restricted to students with Junior or Senior class standing.
69637
Lecture-Discussion
OL4
11:00AM -12:15PM
TR
3269 Beckman Institute
Zilles, C
Herman, G
Sohn, M
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
4 hours
Section Title:
Intro to Online Learning Sys
Section Info:
In this project-based course, students will learn about online learning systems as they develop questions and tools for an existing online learning platform. Students will learn core educational theories about how to make effective online learning systems including perspectives from statistics, cognitive science, and motivational research.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
66825
Lecture
RK1
2:00PM -3:15PM
MW
1320 Digital Computer Laboratory
Kumar, R
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
3 hours
Section Title:
The Art of Web Programming
40091
Lecture
SL3
12:30PM -1:45PM
MW
1404 Siebel Center for Comp Sci
Yershova, G
Part of Term:
1
Date Range:
08/28/17-12/13/17
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
MW
1404 Siebel Center for Comp Sci
Yershova, G
Part of Term:
1
Date Range:
08/28/17-12/13/17
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.
62232
Lecture-Discussion
ST
3:30PM -4:45PM
TR
1109 Siebel Center for Comp Sci
Xie, T
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
4 hours
Section Title:
Software Testing
Section Info:
Software systems are becoming increasingly complex and there is a growing awareness that software testing is needed to deal with this growing complexity. This course explores foundational concepts and practical techniques and tools for testing software and assuring its quality. Topics focus on testing of code, but will also cover analysis of software models and their use in testing. Topics cover software testing at the unit, module, subsystem, and system levels, automatic and manual techniques for generating and validating test data, the testing process, functional testing, security testing, performance testing, and regression testing. Students will have opportunities to improve testing skills by using advanced industrial tools.
69784
Lecture-Discussion
ST3
3:30PM -4:45PM
TR
1109 Siebel Center for Comp Sci
Xie, T
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
3 hours
Section Title:
Software Testing
69390
Online
STO
ARRANGED
n.a.
n.a.
Xie, T
Part of Term:
1
Date Range:
08/28/17-12/13/17
Section Title:
Software Testing
Section Info:
Restricted to online non-degree, online MCS, online MSAE, online MSME, and online MSCE students. For more details on this course section, please see http://engineering.illinois.edu/online/courses/.
Restriction(s):
Restricted to MS: Civil Engr - Online - UIUC, MCS:Computer Sci Online -UIUC, MS:Mechanical Engineerng -UIUC, MS: Aerospace Engr-Online-UIUC, or NDEG:Grad Nondegree-CE-UIUC.
67900
Lecture
WN3
9:30AM -10:45AM
TR
1302 Siebel Center for Comp Sci
Kravets, R
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
3 hours
Section Title:
Wireless Network Lab
Section Info:
Wireless networks are everywhere in our world, one laptops, smartphones, sensor and the new IoT devices popping up everywhere. Understanding how wireless networks work and why they break is the key to their successful deployment and integration. In the first half of this class, we focus on the basics of wireless networking, from the physical transmission of radio signals to the impact of lossy communication on higher layer routing and transport protocols. The second half of the class is dedicated to student let topics, including sensor networks, IoT, security and privacy, energy conservation and general performance improving techniques. Over the course of the semester, students design and implement a group project using a variety of wireless devices and technologies, ending with a project report and a poster presentation of their work.
67901
Lecture
WN4
9:30AM -10:45AM
TR
1302 Siebel Center for Comp Sci
Kravets, R
Part of Term:
1
Date Range:
08/28/17-12/13/17
Credit:
4 hours
Section Title:
Wireless Network Lab
Section Info:
Wireless networks are everywhere in our world, one laptops, smartphones, sensor and the new IoT devices popping up everywhere. Understanding how wireless networks work and why they break is the key to their successful deployment and integration. In the first half of this class, we focus on the basics of wireless networking, from the physical transmission of radio signals to the impact of lossy communication on higher layer routing and transport protocols. The second half of the class is dedicated to student let topics, including sensor networks, IoT, security and privacy, energy conservation and general performance improving techniques. Over the course of the semester, students design and implement a group project using a variety of wireless devices and technologies, ending with a project report and a poster presentation of their work.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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