CSCI1411

Foundations in AI

Fall 2024

This course will provide broad coverage of core topics in artificial intelligence (AI), as a prelude to students taking more in-depth AI courses later on. To this end, the course will introduce students to prevalent AI models, both logical and probabilistic, as well as algorithms to solve these models based on search, planning, reinforcement learning, and supervised and unsupervised machine learning. These ideas will be applied to develop basic natural language processing, computer vision, robotic, and multiagent systems, all with an eye towards building socially responsible AI. This course cannot be taken at the same time as 410. This course is using a centralized override-request for CS department. "All requests for overrides should be sent through that form. Override requests placed directly in C@B will be ignored. The form (and explanation of how it works) is available at https://cs.brown.edu/courses/enrolling/.";

Instructor's Permission Required

Spring 2025

This course will provide broad coverage of core topics in artificial intelligence (AI), as a prelude to students taking more in-depth AI courses later on. To this end, the course will introduce students to prevalent AI models, both logical and probabilistic, as well as algorithms to solve these models based on search, planning, reinforcement learning, and supervised and unsupervised machine learning. These ideas will be applied to develop basic natural language processing, computer vision, robotic, and multiagent systems, all with an eye towards building socially responsible AI. One can get credit for only one of CSCI 0410 and CSCI 1411.