Classes

Computational Cognitive Neuroscience

Semester: 

Spring

Offered: 

2021
Design and analysis of computational simulations of human behavior and brain function. Techniques for modeling active membranes, individual neurons, the dynamics produced by recurrent excitation and lateral inhibition, synaptic plasticity, and the computational role of neurotransmitters. Formal models of perception, attention, learning, memory, language, categorization, and cognitive control.

Introduction to Artificial Intelligence

Semester: 

Fall

Offered: 

2020
Overview of the main concepts and methods underlying the construction and analysis of intelligent systems, including agent architectures, problem solving, heuristic search, knowledge representation, reasoning, planning, communication, perception, robotics, and machine learning. Includes a laboratory component in which intelligent systems are constructed and examined.

Scientific Thinking

Semester: 

Spring

Offered: 

2020
Explores science as an approach to reasoning, as a social process, and as coordinated cultural institutions. Both the benefits and the limitations of science are discussed. Established cognitive biases are described, common errors of thought (such as logical fallacies) are introduced, and the ways in which scientific methods work to overcome these problems are explained. Additional topics include: science and the media; science and society; and methods for detecting pseudoscience, hoaxes, and scams.

Introduction to Artificial Intelligence

Semester: 

Fall

Offered: 

2019
Overview of the main concepts and methods underlying the construction and analysis of intelligent systems, including agent architectures, problem solving, heuristic search, knowledge representation, reasoning, planning, communication, perception, robotics, and machine learning. Includes a laboratory component in which intelligent systems are constructed and examined.