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Date Posted: 05/30/2025 Req ID: 37931 Faculty/Division: Faculty of Music Department: Faculty of Music Campus: St. George (Downtown Toronto) Description: JDM3619H Digital Media Distribution A
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Sessional Lecturer - AMS402H1F: Interfacing Cultures: AI, Platforms, and Algorithmic Politics Across
Study of the United States is seeking to hire one Sessional Lecturer for the following course: Course number and title: AMS402H1F: Interfacing Cultures: AI, Platforms, and Algorithmic Politics Across
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are designing new artificial intelligence algorithms for a self-driving car. You seek out diverse voices to highlight different experiences that uphold our commitment to equity and inclusion. Outside of long-form
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: Course number and title: APS106H1 - Fundamentals of Computer Programming Course description: An introduction to computer systems and software. Topics include the representation of information, algorithms
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description: Geologic hazards: earthquakes, volcanoes, landslides, tsunamis. The distribution and politics of natural resources, including petroleum and ore deposits. Nuclear power and nuclear waste disposal
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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 | 1 day 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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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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, 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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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