Computer Language Workshop
New School for Social Research: Economics
CRN: 1365
Welcome to the Computer Language Workshop on AI tools for research, a course designed for graduate students to learn the usage of AI tools in academic research and writing. As artificial intelligence tools evolve, so does this course, adapting to include new methodologies and responding to student interests and technological advancements. This syllabus outlines a flexible learning journey through modules that not only teach the practical applications of AI in academia but also provide foundational knowledge about how these tools function. This dual approach ensures that students not only become proficient in using AI for their research but also develop a critical understanding of the underlying mechanics of machine learning. The course aims to be pragmatic and honest about the capabilities and limitations of AI, emphasizing its role as a powerful but merely instrumental component of academic research
College: New School for Social Research (GF)
Department: Economics (ECO)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 20
Repeat Limit: 8
Add/Drop Deadline: September 9, 2025 (Tuesday)
Online Withdrawal Deadline: November 17, 2025 (Monday)
Seats Available: Yes
Status: Open*
* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 10:48pm EDT 7/18/2025
CRN: 1319
Welcome to the Computer Language Workshop on AI tools for research, a course designed for graduate students to learn the usage of AI tools in academic research and writing. As artificial intelligence tools evolve, so does this course, adapting to include new methodologies and responding to student interests and technological advancements. This syllabus outlines a flexible learning journey through modules that not only teach the practical applications of AI in academia but also provide foundational knowledge about how these tools function. This dual approach ensures that students not only become proficient in using AI for their research but also develop a critical understanding of the underlying mechanics of machine learning. The course aims to be pragmatic and honest about the capabilities and limitations of AI, emphasizing its role as a powerful but merely instrumental component of academic research
College: New School for Social Research (GF)
Department: Economics (ECO)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 20
Repeat Limit: 8
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
Status: Closed*
* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 10:48pm EDT 7/18/2025