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explore some of the ethical and privacy challenges of living in a world where big data and algorithmic decision-making have become more commonplace. Each week, students will have the opportunity to try
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to publications, grants, and algorithm improvements for speech and motor restoration. Required Qualifications* B.S. or B.A. degree in biomedical engineering, neuroscience, electrical/computer engineering, data
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critique that impact, students need to understand the fundamentals of computing, framed in this course as manipulation of text, creation of algorithms, and generation and analysis of Web pages. Students
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needs in order to schedule visits, administer assessments, and perform other similar tasks; Ability to assist with application of sensors and other instrumentation on participants (e.g., ability to kneel
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Cybersecurity, Computer Science, Data Science, or related field Completed coursework in: Python programming Introductory cybersecurity Data structures or algorithms Familiarity with: Basic machine learning
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-clinical applications Lead a biomedical engineering team Mentor graduate students and undergraduate students Develop algorithms in vapor analysis Submit technical reports Write manuscripts and present
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, repair and maintain other field devices including sensors, airflow stations, water flow stations, freezestats, and other field devices to make a complete control system. Inspect, test and analyze
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(Python Programming for the Sciences): "COMPFOR 131 introduces Python as a key tool for scientists, engineers, and anyone aiming to translate basic math and programming ideas into algorithms. The course
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experience teaching LSA courses is desired. Previous experience teaching courses in Computing. Demonstrated working knowledge of media manipulation algorithms, e.g., converting color pictures to grayscale
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., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results