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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
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. Deployment and maintenance of eco-physiological instruments (e.g., chambers, sap flow sensors). Contribute to modeling and upscaling efforts using process-based and remote sensing-driven approaches. Support
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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Number: COMP 251 - Course Title: Algorithms and Data Structures Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain
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Number: COMP 360 - Course Title: Algorithm Design. Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe
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, strings, pointer-based data structures and searching and sorting algorithms. The laboratories reinforce the lecture topics and develops essential programming skills. Estimated course enrolment: ~150
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electrodes, • Places and securely attaches recording transducers and sensors to measure airflow, respiratory effort, oximetry, and body position, • Installs esophageal balloon and CO2 monitor when indicated
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), students will explore the implications of choices in architecture across the range from mainframes and personal computing to mobile devices and sensors, understand the nature of different network and service
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strategic plan: Health technologies Innovative materials and advanced manufacturing Intelligent and autonomous systems Quantum engineering Sensors, networks and connectivity Software systems, multimedia and
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum