Biologically-Inspired ArtificialIntelligence (COMP 3214 R)

Term: 2020-2021 Academic Year Spring

Faculty

James B Marshall
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Schedule

Tue-Thu, 4:35 PM - 6:00 PM (2/1/2021 - 5/12/2021) Location: SLC ONLIN
Fri, 4:35 PM - 6:00 PM (2/1/2021 - 5/12/2021) Location: SLC TBD TBD

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