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Social Policy (S40)  (Dept. Info)Social Work and Public Health  (Policies)

S40 SWSP 5608MSP Short Course: A Practical Introduction to Artificial Intelligence Using Python2.0 Units
Description:Priority is given to MSP students. Space permitting, MSW and MPH students may enroll for elective credit. The course contributes to the overarching goal of training next-generation policy analysts in modern data analytics. It aims to equip students with the core knowledge and essential skills to apply deep learning models to address real-world problems. Through the course, students will familiarize themselves with computer programming in data science, learn state-of-the-art deep learning models, and apply them to social and behavioral questions. In addition, one essential field of deep learning applications is assisting decision- and policy-making through identifying patterns and trends, improving prediction precision, and automating evidence collection, synthetization, and dissemination. MSP students who master deep learning tools will be at the frontier to leverage the power of AI in policy analysis and practices. Data are now available to social scientists in a way and quantity that has never existed before, presenting unprecedented opportunities for advancing social research and practices through state-of-the-art data analytics. On the other hand, dealing with extensive, complex, unconventional "big data" (e.g., free text, image, video/audio recording) requires revolutionary analytic tools only made available during the past decade. Artificial intelligence (AI), characterized by machine and deep learning, has become increasingly recognized as an indispensable tool in modern social and behavioral sciences. For example, AI methodologies have been applied to enhance the effectiveness of diagnosis and prediction of disease conditions, advance understanding of human development and functioning, and improve the effectiveness of data management in various social and human services. As a subdomain of AI, deep learning is based on artificial neural networks in which multiple ("deep") layers of processing are used to extract higher-level features progressively fro
Instruction Type:Online Course Grade Options:C Fees:
Course Type:HomeSame As:N/AFrequency:None / History


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S=Special Audit
Q=ME Q (Medical School)

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No section found for FL2023.