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EE 67032: Physics of Computation
3.00 Credits
University of Notre Dame
Every computational process, no mater how abstract, ultimately is realized by a physical process. An interesting question therefore is in what ways basic physical laws impact computation. This course will survey the literature on this topic with particular attention on the question of ultimate limits on the energy requirements for computation.
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EE 67033: Applied State Estimation
3.00 Credits
University of Notre Dame
This course covers techniques used in estimating the state of a dynamical system. The course reviews basic concepts in linear systems, Bayesian estimation, and minimum mean-square estimation followed by the introduction of the conventional Kalman filter in both discrete-time and continuous-time formats. The course examines extensions of the Kalman filter that include the extended and unscented Kalman filter as well as the H-infinity filter. The course may also cover some advanced topics in Multi-target tracking, state estimation over networks, and the use of Markov Chain Monte Carlo (MCMC) methods.
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EE 67034: Alternative Energy Devices and Materials
3.00 Credits
University of Notre Dame
This course is for upper level undergraduates and early graduate students interested in the scientific challenges of alternative energy generation, storage, and efficient use. The course will cover photovoltaic and solar power in depth, with additional coverage of fuel cells, hydrogen, energy storage, wind power, modern nuclear power, thermoelectrics, geothermal, and more. Upon completion of this course, students should be able to analyze important devices and predict the power output under various conditions, compare their strengths and weaknesses, plan a sustainable power grid, and describe the technical, economic, and political challenges to making each of these alternative energies successful.
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EE 67035: Nanomagnetics
1.00 Credits
University of Notre Dame
This course will serve as an introduction to the field of nanomagnetics, starting with an overview of the basic physical phenomena of magnetism, and leading up to a survey of applications of these phenomena in magnetic devices used for information storage and data processing.
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EE 67036: Formal Methods for Design and Verification of Cyber-Physical Systems
3.00 Credits
University of Notre Dame
Cyber-physical systems (CPS) are systems in which computational (cyber) processes interact closely with physical dynamical processes. As such systems are becoming ever more complex, ad hoc methods for design and verification of such systems are no longer adequate. This course introduces timed and hybrid automata for modeling the behavior of CPS. Based on such models, the course exposes students to formal methods for verifying the safe operation of CPS in which specifications are posed as temporal logic formulae. Students will use existing verification tools to explore verification and design of cyber-physical systems.
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EE 67037: System Science Research Seminar
1.00 Credits
University of Notre Dame
Seminar to introduce first year Electrical Engineering graduate students to system science research.
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EE 67037 - System Science Research Seminar
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EE 67038: Introduction to Systems Biology
4.00 Credits
University of Notre Dame
The goal of this course is to highlight elementary design principles of biological systems. Many of the underlying principles that govern the biochemical interactions within a cell can be related to networks consisting of basic building-block circuits with multiple inputs/output, feedback and feedforward etc. This course draws on control theory and simple biology to provide a mathematical framework to understand these biological networks. The course is intended for advanced undergraduates or graduate students.
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EE 67039: Imaging Technologies for Micro and Nano Technologies
3.00 Credits
University of Notre Dame
This course will survey a variety of imaging methods including optical, scanning probes, and electron beams. Each of these has multiple variations that will be explored in the course.
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EE 67598: Special Studies
0.00 - 12.00 Credits
University of Notre Dame
Individual or small-group study under the direction of a faculty member in a graduate subject not currently covered by any University course. (Fall and spring)
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EE 68599: Thesis Direction
0.00 - 12.00 Credits
University of Notre Dame
Research to satisfy the six credit hours required for the master's degree.
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EE 68599 - Thesis Direction
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