News
Filtered By
Results
Ethics in action
In MIT’s Experiential Ethics summer course, students grapple with real-world ethical decision making, often while interning in the very fields they’re studying.
Secret superheroes of EECS
Lecturers ensure the technology, curriculum, and instructional delivery of MIT’s classroom education keep up with the dizzying pace of its research.
Learning to think critically about machine learning
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
A new resource for teaching responsible technology development
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
Q&A: What makes a bestselling textbook?
The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.
Physics and the machine-learning “black box”
In 2.C061, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
Making computation come alive
A new course teaches students how to use computational techniques to solve real-world problems, from landing a spacecraft to placing cell phone towers.
Popular new major blends technical skills and human-centered applications
Combining computer science, data science, and economics, Course 6-14 prepares students to address thorny quandaries in many fields.
Computing the world around us
16.0002/18.0002: Introduction to Computational Science and Engineering
Integrating computing across disciplines
The Common Ground for Computing Education is providing a mechanism for students to pursue valuable computational knowledge within the context of their fields of interest.
