Schedule
Tue-Thu, 3:35 PM - 5:00 PM (1/28/2019 - 5/17/2019) Location: SLC SC 214
Fri, 3:35 PM - 5:00 PM (1/28/2019 - 5/17/2019) Location: SLC SC 214
Description
Prerequisite: at least one semester of programming experience in a high-level, object-oriented language such as Python, Java, or C++. The field of artificial intelligence (AI) is concerned with reproducing in computers the abilities of human intelligence. In recent years, exciting new approaches to AI have been developed, inspired by a wide range of biological processes and structures that are capable of self-organization, adaptation, and learning. These sources of inspiration include biological evolution, neurophysiology, and animal behavior. This course is an in-depth introduction to the algorithms and methodologies of biologically-inspired AI and is intended for students with prior programming experience. We will focus primarily on machine-learning techniques—including genetic algorithms, reinforcement learning, artificial neural networks, and deep learning—from both a theoretical and a practical perspective. Throughout the course, we will use the Python programming language to impl