Applied Data Science: Exploration, Prediction, and Generative Artificial Intelligence

From predictive models to image and language generators, data science, machine learning, and generative artificial intelligence (AI) rely on computational methods for learning patterns in large, complex, datasets. In this hands-on course, we will apply multiple approaches for learning from data, including exploratory analysis, prediction, and generation. Students will describe social impacts of data-intensive technologies; manage and explore data sets; build predictive models; and programmatically apply generative models to real-world problems and data. This course is designed for students with introductory programming or data science preparation seeking to build foundational understanding and practical skills in machine learning and generative AI. This course fulfills the Responsible Computing requirement for the Computer Science major. (CSCI 0145 or CSCI 0146 or CSCI 0150 or STAT 0118 or instructor approval)