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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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of Law Course Number: LAWG 562 Course Title: Regulating AI Course Credits: 3 1 Instructor Term: Fall 2025 Course Schedule: Monday/Wednesday 0835-0955 ( Student Affairs Office will contact you if
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360 Algorithm Design F 2025 LOCATION Downtown Campus Schedule TR
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application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
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, lists, maps. Program structure: control flow, functions, classes, objects, methods. Algorithms and problem solving. Searching, sorting, and complexity. Unit testing. Floating-point numbers and numerical
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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the activity of the laboratory technicians servicing the labs Supporting the selection, procurement, and installation of equipment Managing laboratory budgets Scheduling and coordinating lab access Research
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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laboratory budgets Scheduling and coordinating lab access Research Direction Working as a co-investigator, in partnership with the Principal Investigator, independent management, development, and execution