-
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
-
radio medium, radio communication system examples. Link budget: cable losses, propagation loss, antenna gains. Basic concepts of propagation: path loss, multi-path propagation and fading. Raleigh and
-
– Mobile Broadband Radio Access Network) Course Description: ECE464H1 S: The radio medium, radio communication system examples. Link budget: cable losses, propagation loss, antenna gains. Basic concepts
-
: 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
-
, 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
-
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
-
, 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
-
of new algorithms and technologies. Capturing value from these algorithms and technologies requires an interdisciplinary approach, engaging health and health science professionals in the design and
-
, 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
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and