Courses at CAIDS

DATA 1010 is appropriate for all students, regardless of your major or prior experience. This course is designed to promote data literacy and equip students with practical skills that can be applied to academic careers and future jobs. No prerequisites are required. Satisfies Formal Reasoning.

DATA 2020 offers students an overview of statistical tools commonly used in quantitative data. Concepts are presented through real-world examples, utilizing publicly available data sets. Students of all skill levels are welcome, including those with no statistical, mathematical, or programming backgrounds. All necessary data analysis skills will be taught in class.  Satisfies the Formal Reasoning requirement. 

DATA 2030 provides an overview of the different creative and analytical theories and techniques for understanding and developing data visualizations, including maps, graphs, charts, and interactive tools such as dashboards. Students of all skill levels are welcome, and all data visualization skills will be taught in class. Satisfies the Formal Reasoning core requirement!

DATA 2040 provides an overview of the tools most commonly used to analyze data from textual or qualitative sources such as written or digital text, interviews, focus groups, and opened-ended survey questions. Students of all skill levels are welcome, including those with limited or no statistical, mathematical, or programming backgrounds. All analysis skills will be taught in class.

DATA 2150 is a hands-on course that provides students with practical experience employing generative AI to perform real-world tasks. Students learn to effectively collect accurate historical and real-time information, generate high-quality text and media, transform content between formats, analyze data to derive insights, and deploy generative AI to tackle private and professional challenges.

DATA 2810 traces the evolution of AI from the perceptron to modern day large language models. Students will be exposed to the major branches of AI and the key architectures that allow computers to mimic (limited) human intelligence.