Digital technology transforms the way we live, from how we travel to what we use for money, to how we swipe to find love. At the heart of these social, cultural, and economic changes lie mathematics and computer science. But how do we gather the information, interpret the data, and construct the algorithms that drive these advances and affect our lives? Quantitative Reasoning in a Digital Age not only develops foundational skills in mathematics and computer science, but demonstrates how computer programming and algorithmic thinking inform issues in fields as diverse as economics, psychology, history, and philosophy. Structured around project-based teamwork, students will examine how the toolkit of computational thinking can model human behavior and address real-world problems in business, education, public health, government, and other sectors. By understanding how quantitative reasoning affects modern society and modern society often affects our quantitative reasoning, students will learn to question their own assumptions about data big and small and think critically about the abundance of quantitative information that defines the decisions we make.
Introduction
offering time
Spring 23
Major
Faculty
Luu Duc Thi
Category
Core course
Course code