MIT 15.S03

Metascientific examination of social & behavioral sciences

In this seminar, we think about what it would take to enhance research methods, logical reasoning, result interpretation, and overall practice within social and behavioral sciences. Our journey will involve examining metascientific issues, re-examining the foundations of scientific method, reflecting on the processes of scientific discovery, and proposing solutions to advance the field forward.

Syllabus: S2024

MIT 15.S15

The recent availability of massive digital traces on human behavior and the ubiquity of computational approaches have both extended and changed classical social science inquiry. The goal of this course is to introduce students to new computational social science methods and to use those techniques to explore classic investigations or pose novel questions. We will review fundamental research designs and focus on how new data sources and computational opportunities can enhance them.

Syllabus: F2021

MIT 15.572

Action Learning Seminar on Analytics and Machine Learning

Student teams design and deliver a project based on the use of analytics, machine learning, large data sets, or other digital innovations to create or transform a business or other organization. Teams may be paired up with an organization or propose their own ideas and sites for the project. Culminates with presentation of results to an audience that includes IT experts, entrepreneurs, and executives.

Syllabus: F2022

MIT 15.561

Information Technology Essentials

Emphasizes programming in scripting languages (e.g., Python, SQL) within the context of emerging trends underlying current and future uses of information technology in business. Provides a solid grasp of programming basics and foundations of computing. Other topics include web technologies, database systems, digital experimentation, crowdsourcing, and machine learning.