CS 598

Spring 2017 Part of Term 1

Part of Term 1
Jan 17-May 3

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 2 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 598 class schedule data for spring 2017
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
56940	Lecture	ACK	11:00AM -12:15PM	WF	Siebel Center for Comp Sci	Kirlik, A	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Experimental Methods of HCI Section Info: Course description: This course covers conceiving, designing, performing, analyzing data and reporting the results of experiments in HCI contexts and evaluating interactive technologies in engineering. Topics include defining the research question, selecting experimental objects, tasks, and participants, the ethical protection of subjects, selecting an experimental design, threats to validity, the collection and analysis of both qualitative and quantitative data and reporting experimental research in publications. Both parametric and nonparametric data analysis are covered, including the most commonly used inferential statistical tests such as repeated- and independent-measures ANOVA, post-hoc Tukey, Wilcoxon, Mann-Whitney, Kruskal-Wallis and others. Statistical material is taught using methods and examples based on mathematical foundations rather than with a statistical analysis software language or package to provide students a rigorous and intuitive understanding of these methods to complement the conveniences these programming environments provide in everyday research practice. Class time includes lectures based on an e-book text available from the library and critiques of recently published articles reporting experimental research in HCI and human factors. Grades are based on homework and 2 exams. Open to advanced undergraduates with permission of instructor. Restriction(s): Restricted to Graduate - Urbana-Champaign.
61163	Lecture-Discussion	CPS	2:00PM -3:15PM	TR	Siebel Center for Comp Sci	Caccamo, M	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Cyber Physical-Systems Tech Section Info: Course description: In this course, we will delve into topics that deal with the design and temporal analysis of cyber-physical and embedded systems. The goal of this course is to provide a deep understanding about resource management, analysis and safety of modern embedded systems that interact with the physical world, especially those that have different degrees of criticality and stringent timing requirements. Examples of such systems include modern automobiles, avionics and flight systems, space vehicles and satellites, medical equipment, power distribution grid, and robotics devices among others. This course has a seminar-based structure where instructor and students give in class presentations about state-of-art research papers published in top conferences and journals. The course is structured to improve students' research skills and their ability for critical thinking. In-class discussion will focus on state-of-art research work on cyber-physical and real-time embedded systems. Part of studied theory will be applied to the design of a simple flight control system for an Unmanned Aerial Vehicle (UAV); coding and testing will use an emulation environment as testbed. Course requirements include a project to be completed by students organized as teams. Restriction(s): Restricted to Graduate - Urbana-Champaign.
39668	Lecture-Discussion	DAF	3:30PM -4:45PM	MW	Siebel Center for Comp Sci	Forsyth, D	Part of Term: 1 Date Range: 01/17/17-05/03/17 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Autonomous Vehicles for AI Section Info: We will use an existing autonomous vehicle platform to investigate a variety of topics. Major problems of interest are: Vision based object detection, tracking and classification, for object classes that include pedestrians, cars, trucks, both static and moving; Multi-lane model detection using a forward facing mono-camera, including estimating distance to the left/right lane including adjacent lanes, lane confidence values, lane type (dashed, solid, etc); On road free-space detection; Traffic light detection; Camera based localization; Traffic sign and speed limit recognition; Surround view with object detection and classification; Birds eye view 360 degrees around a vehicle; Sensor fusion including camera objects, lidar objects and radar tracks. Evaluation will be by project. Enrollment by consent of instructor.
65627	Lecture-Discussion	GA	12:30PM -1:45PM	WF	Siebel Center for Comp Sci	Agha, G	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Progming Languages Application Section Info: Topic: Programming Languages for Next Generation Applications Programming next generation applications such as Mobile Cloud, the Internet of Things, Cyberphysical Systems (Self-Driving vehicles), Biocomputers (microfluidics, DNA computers), Synthetic Biology and Quantum Computers presents distinctive challenges. The course will study emerging applications with the goal of understanding the challenge of programming them. It will include a survey of programming languages currently used as well as novel programming languages proposed for applications in these domains. Students will be expected to do a course project exploring novel programming constructs for a specific domain of next generation applications. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65119	Lecture-Discussion	GR	2:00PM -3:15PM	WF	Siebel Center for Comp Sci	Rosu, G	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Runtime Verification Section Info: Runtime verification (RV) is a software analysis approach where programs are formally analyzed as they execute. This can be done using program instrumentation, or using special execution environments (for example, a semantics-based symbolic execution engine), or both. In its most simplistic form, RV can be used to detect or predict bugs in programs. In a more sophisticated form, RV can be used to prove programs correct by systematically executing programs on all their (symbolic) paths. The course will cover the major RV approaches and techniques, as well as semantic foundations. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65175	Lecture-Discussion	HS	2:00PM -3:15PM	TR	Siebel Center for Comp Sci	Sundaram, H	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
65116	Lecture-Discussion	LAZ	12:30PM -1:45PM	TR	Siebel Center for Comp Sci	Lazebnik, S	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Cutting-Edge Trends In DLR Section Info: Title: Cutting-Edge Trends in Deep Learning and Recognition Topics include but are not limited to: novel architectures and training techniques; alternatives to fully supervised training; deep reinforcement learning; neural generative models; neural memory and Turing models; integration of vision with other modalities; applications to robotics, speech and language. Course requirements include making presentations, actively participating in discussions, and completing a project, survey paper or tutorial. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65117	Lecture-Discussion	RK	3:30PM -4:45PM	TR	Siebel Center for Comp Sci	Kumar, R	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Data-Driven Design Restriction(s): Restricted to Graduate - Urbana-Champaign.
63499	Lecture-Discussion	RM	9:30AM -10:45AM	WF	Siebel Center for Comp Sci	Mehta, R	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Algorithmic Game Theory Section Info: Algorithmic game theory has become more relevant than ever before with the advent of online markets, ad auctions, social networks, and recommendation systems, where rational agents interact to achieve selfish goals. The last two decades have witnessed the development of a rich theory in this area and deep mathematical connections have been established. The first half of the course will provide a broad introduction to games and market models, solution concepts, classical as well as recent developments in the field on equilibrium computation & complexity, mechanism design, price of anarchy, matching markets, game dynamics, and others. The second half will address a selection of advanced topics and research projects. Restriction(s): Restricted to Graduate - Urbana-Champaign.
48248	Lecture-Discussion	TAR	12:30PM -1:45PM	WF	Siebel Center for Comp Sci	Abdelzaher, T	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Social Sensing Section Info: Topic: Distributed Social Sensing and Cyber-Physical Systems. In 2007, the President's Council of Advisors on Science and Technology (PCAST) named systems that interact with the physical world the number one research challenge for US competitiveness. An important emerging category of cyber-physical systems are those that function in social spaces. These systems are ushered in by the proliferation of "sensing" devices (e.g., on phones, in homes, on cameras, etc) in the possession of the average individual, as well as our ubiquitous mobile connectivity and the rise of new data broadcast media (namely, social networks). This course covers the unfolding research challenges and directions in distributed social sensing, overviews the broader landscape of cyber-physical systems, discusses common misconceptions, presents the underlying theoretical foundations, and sheds light on related recent technologies and publications. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65784	Lecture-Discussion	TC	2:00PM -3:15PM	WF	Siebel Center for Comp Sci	Chan, T	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Geometric Data Structures Section Info: Topic: This course is about data structures in computational geometry. Many geometric problems can be viewed as generalizations of standard one-dimensional searching. We will discuss fundamental techniques and recent theoretical developments for basic problems such as point location, orthogonal and nonorthogonal range searching, dynamic convex hulls, and approximate nearest neighbors. We will also explore geometric data structures in a variety of settings, from the word RAM model to computational models inspired by big data, including external memory and streaming. Prerequisite: an undergraduate algorithms course. Restriction(s): Restricted to Graduate - Urbana-Champaign.