SCI 52 — Artificial Intelligence: An Introduction to Neural Networks and Deep Learning
This course will provide an introductory overview of artificial intelligence techniques and place a particular emphasis on neural networks and deep learning. We will discuss how current AI platforms compare and differ from how the brain works, and we will cover how systems actually “learn” and how to build a neural network. We will also discuss the real-world applications of neural networks. By the end of the course, students should have enough basic understanding of how AI techniques work so they can: (A) converse with neural network practitioners and company executives; (B) critically evaluate AI news stories and technologies; and (C) consider what the future of AI can hold and what barriers need to be overcome with current neural network models.
This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of middle-school math (e.g., simple algebra) is expected, with any further material covered in class.
Students are not required to complete SCI 48: “An Introduction to Artificial Intelligence: How Neuroscience Is Creating Smarter Technologies” prior to this course. However, prospective students should review both syllabi to determine which course best suits their needs.