ECE 598-YS Super-resolution Biomedical Imaging – Methods, Algorithms and Applications 

2024 Full

Description: This graduate-level course offers a comprehensive exploration into the cutting-edge field of super-resolution biomedical imaging, covering a wide array of modalities, including optical, acoustic, MRI, CT, and PET imaging. This course is designed for students with a background in electrical and computer engineering, biomedical engineering, medical physics, or a related field, aiming to equip students with a deep understanding of the principles, computational strategies, and practical applications of super-resolution techniques in biomedical sciences.
Through lectures and project-based learning, students will delve into the mathematical foundations and algorithmic approaches underpinning super-resolution technologies. The course will navigate through three modules of optical microscopy enhancements, acoustic resolution improvements, and the advancements enabling higher resolution in clinical imaging, such as optical, MRI, CT, and PET imaging technicques. At the end of each imaging module, emphasis will be placed on the practical applications of these techniques in clinical diagnostics, therapeutic guidance, and biomedical research, highlighting their impact on understanding complex biological systems and enhancing patient care.

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ECE 564 Modern Light Microscopy

2023 Full

Description: Current research topics in modern light microscopy: optics principles (statistical optics, Gaussian optics, elastic light scattering, dynamic light scattering); traditional microscopy (bright field, dark field, DIC, phase contract, confocal, epi-fluorescence, confocal fluorescence); current research topics (multiphoton, CARS, STED, FRET, FIONA, STORM, PALM, quantitative phase). Course Information: Prerequisite: One of ECE 460, MSE 405, PHYS 402.

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ECE/BioE 467 Biophotonics

2022 Full; 2023 Spring

Description: Overview of the field of biophotonics, in three segments: (1) fundamental principles of light, optics, lasers, biology, and medicine; (2) diagnostic biophotonics including imaging, spectroscopy, and optical biosensors; (3) therapeutic applications of biophotonics including laser ablation and photodynamic therapies. Reviews and presentations of current scientific literature by students. 

 

ECE 398 Program Methods for Machine Learning

2021 Full

Description: This course will introduce auto-differentiation tools like PyTorch, basic machine learning algorithms (including linear regression, logistic regression, deep nets, k-means clustering), and extend them with custom extensions to fit your needs. Auto-differentiation tools are one of the most important tools for data analysis and a solid understanding is increasingly important in many disciplines. In contrast to existing courses that focus on algorithmic and theoretical aspects, here we focus on studying material that permits deploying auto-diff tools to your area of interest.

 

ECE 329 Fields and Waves I

2020 Spring; 2020 Fall; 2021 Spring; 2022 Spring; 2023 Spring

Description: Fundamentals of electromagnetic fields and waves and their engineering applications: static electric and magnetic fields; energy storage; Maxwell’s equations for time-varying fields; wave solutions in free space, dielectrics and conducting media, transmission line systems; time- and frequency-domain analysis of transmission line circuits and Smith chart applications. Course Information: Prerequisite: ECE 210.

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ECE 110 Introduction to Electronics

2019 Spring; 2019 Fall

Description: Introduction to selected fundamental concepts and principles in electrical engineering. Emphasis on measurement, modeling, and analysis of circuits and electronics while introducing numerous applications. Includes sub-discipline topics of electrical and computer engineering, for example, electromagnetics, control, signal processing, microelectronics, communications, and scientific computing basics. Lab work incorporates sensors and motors into an autonomous moving vehicle, designed and constructed to perform tasks jointly determined by the instructors and students.

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