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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
statistics, contingency tables, normal probability distribution, and sampling distributions. The second half of the course introduces inferential statistical methods. These topics include significance test for
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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
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unit test frameworks and gain experience in graphical user interface design and algorithm development. Estimated course enrolment: ~360 Estimated TA support: TBD Class schedule: Timetable Builder
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Committee, Appointments, Reappointments and Promotions Committee and other standing committees by compiling and distributing meeting agendas and various materials, attending meetings, taking and transcribing
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bodies; schedules meetings, prepares agendas, maintains contact lists, records minutes, maintains records coordinates meeting facilities. Prepares and distributes packages of meeting materials for academic
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: Biomedical Engineering Position Summary Assists in performing laboratory tests and experiments, and records experimental details and results. Distributes and tracks items, such as laboratory shipments. A log
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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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. The College of Nursing is the largest non-departmentalized college at the University of Saskatchewan and among the most distributed, including two campuses and eight distributive sites across the province. It
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of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software