Adam Poliak is a Roman Family Teaching & Research Fellow in Computer Science at Barnard. Adam's research focuses on natural language understanding, exploring the limits and reasoning capabilities of Natural Language Processing systems, and analyzing large amounts of text in domains like public health and social sciences. Adam recevied his Ph.D. from Johns Hopkins University in Computer Science where he was affiliated with the Center for Language and Speech Processing. His work has been recognized with Best Paper Awards in 2018 and 2019 at The Joint Conference on Lexical and Computational Semantics.
Introduction to Computational Thinking and Data Science
This course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. This class is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or math background is required.