ECE 598

Spring 2019 All Classes

All Classes

Special Topics in ECE

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Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in electrical and computer engineering 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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ECE 598 class schedule data for spring 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69476	Laboratory Lecture	AB AB	10:00AM -12:20PM 8:30AM -9:50AM	F MW	4024 Electrical & Computer Eng Bldg 3013 Electrical & Computer Eng Bldg	Banerjee, A Banerjee, A	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Power-Elec Conv & Control Section Info: Power-Electronic Converter and Control for Electric Machines: Theory and Practice This course will introduce modeling, analysis, and design of electromechanical energy conversion systems from a simultaneous perspective of power electronics, electromechanics, and control. We will take a hands-on approach. Theories will be discussed in lectures and will be implemented in real-world laboratory setups. Three-phase power-electronic converters will be introduced that are specifically designed for machine drives. Dynamic models of different types of electrical machines will be developed using generalized theory of machines. Finally, different control architectures and their impact on the dynamic performance of the drive will be discussed. “Real-world” examples from many existing and emerging applications including electric vehicles, renewable energy systems, and high-power and high-performance industrial drives will be used to show the need for interdisciplinary understanding from a system perspective. Prerequisites: ECE 464 (Power Electronics) and ECE 431 (Electric Machinery). ECE 486 is preferred.
69907	Lecture-Discussion	ETC	4:00PM -5:20PM	MW	106B3 Engineering Hall	Bashir, M Campbell, R Choi, D	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Ethical Thinking-Cyber Space Section Info: It isn’t enough for cyber-professionals to be technologically knowledgeable; they must also be ethically minded and capable of meeting the heavy burden of responsibility that comes with having 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, and Fostering and establishing a culture of dialogue around complex ethical dimensions of cybersecurity. Prerequisites: CS 210, ECE 316, or equivalent, and/or instructor approval.
69457	Lecture	ICM	12:30PM -1:50PM	TR	3020 Electrical & Computer Eng Bldg	Hu, B	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Interplay-Ctrl & Mchn Learning Section Info: Interplay Between Control and Machine Learning Advanced graduate course focuses on interplay between control and machine learning. The first half of the course focuses on tailoring control tools to study algorithms in large-scale machine learning. In the second half of the course, students will study how to combine reinforcement learning and model-based control methods for control design problems. The following topics will be covered: empirical risk minimization; first-order methods for large-scale machine learning; stochastic optimization; dissipation inequality; jump system theory; Lur'e-Postkinov type Lyapunov functions; integral quadratic constraints; KYP Lemma; graphical interpretations for optimization methods; adaptive control and ADAM; stable manifold theorem; Lyapunov measure; implicit bias of gradient descent on least square and logistic regression; H-infinity filtering theory for implicit bias; alforithmic stability; policy gradient on linear quadratic regulator (LQR) problems; learning model predictive control for iterative tasks; zeroth-order optimization and evolutionary strategies; robust control via DK-iteration and IQC-synthesis; adversarial reinforcement learning. Prerequisites: MATH 415; ECE 313; ECE 515; ECE 490 (or any similar course on optimization). EC 534 is recommended, but not required.
69573	Lecture	ID	12:30PM -1:50PM	TR	2013 Electrical & Computer Eng Bldg	Dokmanic, I	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Inverse Problems and Learning Section Info: Inverse Problems, Regularization, and Learning. Inverse problems are central in engineering and science. Most interesting inverse problems are ill-posed and need to be regularized. This course will cover fundamentals of inverse problems theory including elements from functional analysis, regularization theory, and optimization. It will include advanced topics such as representer theorems for l1 regularization, phase retrieval and quadratic inverse problems, and convolutional dictionary learning. Particular emphasis will be placed on sparsity-promoting regularizers and methods based on machine learning and deep neural networks. Prerequisites: ECE 313, ECE 490, ECE 513, or their equivalents. Programming in Python (Matlab).
69461	Laboratory Lecture	JZ JZ	3:00PM -4:50PM 11:00AM -11:50AM	R MW	2022 Electrical & Computer Eng Bldg 3013 Electrical & Computer Eng Bldg	Zhou, J Zhou, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Radio-Freq IC & System Dsgn Section Info: Radio-Frequency IC Design This course will cover basic principles of modern wireless transceiver design using integrated circuit technology at radio frequency (RF) (~100MHz to 6GHz) for wireless communication applications, such as LTE and WiFi. Building upon the analog IC skills learned from ECE 483 - Analog IC Design, this new course teaches analysis and design of integrated circuits and systems that operate at much higher frequencies and for wireless communications in specific. Prerequisites: ECE 483 and one of three courses (ECE 453, ECE 447, or ECE 457) required.
69496	Lecture	SB1	10:00AM -11:20AM	MW	3015 Electrical & Computer Eng Bldg	Bose, S	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Electricity Markets Section Info: Mathematical Foundations of Electricity Markets. Power system operation is inextricably linked to the operation of electricity markets. In this course, we study the modeling and analysis of competitive electricity markets that facilitate the balance of demand and supply of electricity across a power network. We leverage tools from optimization theory, microeconomics, and game theory to investigate the rationale behind current market designs, how they operate, and analyze the outcomes, given the strategic behavior of the market participants. The course illustrates the complex interaction of mechanism design with the physics of the underlying grid, a feature that distinguishes electricity markets from traditional marketplaces. While bulk of the course focuses on wholesale electricity markets in the US, we conclude with current debates on the creation of retail markets to harness the flexibility of demand side resources.