In a world saturated with information, individuals, businesses and institutions are constantly exchanging and leveraging data via algorithmic platforms. This course will investigate data, algorithms and their applications (e.g. artificial intelligence, crime prevention, cybersecurity, healthcare, social services), together with the ways these structures and processes bring about socioeconomic ambiguities. Students will be introduced to the various algorithms involved in machine learning, and be equipped with the critical tools to evaluate the political, social and ethical concerns of various data-driven contexts.
Credit Units: 2.5
Presentation Pattern: Every January