Temple University 3 credits CIS
Students will learn how machine learning models are built, how to interpret their outputs, and how they are applied across industries. Using unplugged activities alongside no-code and low-code tools, students will engage directly with advanced topics such as classification, clustering, regression, and generative models in approachable ways. By combining conceptual learning with practical engagement, students will develop both literacy in AI techniques and the perspective needed to evaluate its role in shaping the future.
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