CS 598

Spring 2018 All Classes

All Classes

Special Topics

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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 2018
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
67943	Online	CC1	ARRANGED	n.a.	n.a.	Gupta, I	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Cloud Computing Capstone 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. CS 425 and CS 498 Cloud Computing Applications Restriction(s): Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
68083	Online	CC2	ARRANGED	n.a.	n.a.	Gupta, I Farivar, R	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Cloud Computing Capstone 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. CS 425 and CS 498 Cloud Computing Applications Restriction(s): Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
67944	Online	DM1	ARRANGED	n.a.	n.a.	Zhai, C	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Data Mining Capstone 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. Pre-requisites: CS 410 and CS 412 Restriction(s): Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
68084	Online	DM2	ARRANGED	n.a.	n.a.	Zhai, C	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Data Mining Capstone 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. Pre-requisites: CS 410 and CS 412 Restriction(s): Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
68277	Lecture-Discussion	ETC	3:00PM -5:50PM	W	1131 Siebel Center for Comp Sci	Campbell, R	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Ethical Thinking-Cyber Space Section Info: : Innovative approaches to cybersecurity education are needed to equip professionals to be technologically savvy as well as ethically minded and capable of meeting the heavy burden of responsibility that comes with increased technological skills and access to sensitive data. This course will address this need through a case study based ethics curriculum for cybersecurity. The curriculum will immerse students in real-life ethical dilemmas inherent to cybersecurity and engage them in open dialogue and debate within a community of ethical practice. The curriculum will be designed to develop critical reasoning skills in addition to other “soft skills” vital for cybersecurity professionals. Specific curricular objectives include: Increased awareness of the complex web of consequences that cybersecurity professionals are prone to encounter Development of critical reasoning skills that will allow students to become more sophisticated in their ethical reasoning abilities and responses Development of collaborative problem solving and communication skills Fostering and establishing a culture of dialogue around complex ethical dimensions of cybersecurity Restriction(s): Restricted to Graduate - Urbana-Champaign.
65627	Lecture-Discussion	GA	2:00PM -4:50PM	M	1103 Siebel Center for Comp Sci	Agha, G	Part of Term: 1 Date Range: 01/16/18-05/02/18 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.
68347	Lecture-Discussion	HDA	1:00PM -2:50PM	W	1131 Siebel Center for Comp Sci	Campbell, R	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Health Data Analysis Section Info: Prerequisite: One or more courses demonstrating a working knowledge of machine learning and data mining. Topic: There are about 10,000 known human diseases, yet human doctors are only able to recall a fraction of them at any given moment. Operational waste and inefficiencies in healthcare system is vastly overlooked. But maybe, with the help of data analytics, we can overcome all these issues. Today, in healthcare, large amounts of multi-modal health data is becoming more accessible. Electronic health records, genetic, imaging, and smartwatch data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment. The course will consist of paper readings, presentations, and student projects. Students write critiques, make presentations, and create an academic paper suitable for a workshop or conference. We will review the recent advances in the area of health data analysis. Reading selections broadly cover clinical, genetic, and image analysis. Students are expected to have a working knowledge of machine learning, data mining, and programming skills to carry an implementation of a final project (preferably in Python, but all languages are welcome). The project is extremely hands-on. You will experience firsthand all of the journey a data scientist goes through: data ambiguity, missing data, anomalies, skewness, predictive models, descriptive models, etc. Undergrad may register for this course with instructor approval. Restriction(s): Restricted to Graduate - Urbana-Champaign.
39670	Lecture-Discussion	MP	11:00AM -12:15PM	TR	1105 Siebel Center for Comp Sci	Parthasarathy, M	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Info: Topic: Algorithmic Software Verification. This course requires mathematical maturity, and some knowledge of automata theory (CS 273) and propositional logic. Credit: 4 hours
68141	Lecture-Discussion	NB	11:00AM -12:15PM	MW	2013 Electrical & Computer Eng Bldg	Borisov, N	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Privacy Enhancing Technologies Restriction(s): Restricted to Graduate - Urbana-Champaign.
68136	Lecture-Discussion	RR	4:00PM -5:15PM	MW	204 Transportation Building	Lavalle, S	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Representations in Robotics Section Info: This course will explain, discuss, and explore fundamental issues in robotics, centered on information and representation requirements for robot motion strategies. Prereq: ECE 470 Introduction to Robotics, or consent of instructor Restriction(s): Restricted to Graduate - Urbana-Champaign.
43781	Lecture-Discussion	SS	9:30AM -10:45AM	TR	1131 Siebel Center for Comp Sci	Sinha, S	Part of Term: 1 Date Range: 01/16/18-05/02/18 Credit: 4 hours Section Title: Advance Bioinformatics Section Info: Topic: Probabilistic Methods for Biological Sequence Analysis. This is an advanced topics course in bioinformatics. We will discuss (i) probabilistic techniques such as Expectation-Maximization, Hidden Markov Models, Bayesian inference, Monte carlo sampling (ii) computational assessment of sequence statistics (such as alignment scores and word frequencies), (iii) mathematical models of evolution and their use in sequence analysis, among other topics. Computational techniques will be discussed in the context of the important biological process of gene regulation, and problems such as "sequence alignment", "motif finding", and "module detection", will be studied in detail. NO BACKGROUND IN BIOLOGY IS REQUIRED: biological concepts used will be introduced early in the course. The course will involve a research project. Prerequisites: Programming, basic probability and statistics. Restriction(s): Restricted to Graduate - Urbana-Champaign.
48248	Lecture-Discussion	TAR	12:30PM -1:45PM	WF	0216 Siebel Center for Comp Sci	Abdelzaher, T	Part of Term: 1 Date Range: 01/16/18-05/02/18 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.