Differential and integral calculus of elementary functions. Introduces differential and difference equations. Emphasizes applications to the life sciences.

Limits and continuity, differential calculus of functions of one variable, introduction to integration.

Biological concepts emphasizing principles and the interplay of structure and function at the molecular, cellular, and organismal levels. Intended for life sciences, biology, and health-related science majors.

Biological concepts emphasizing principles and the interplay of structure and function at the organismal, population, and community levels. Intended for life sciences, biology, and health-related science majors.

Principles and mechanisms of physiological regulation in animals, with a focus on humans.

Explores the cellular and molecular neurobiology of the central nervous system across many levels (genetic, molecular, cellular and network) by examining the principles underlying the function of individual neurons and how these principles give rise to integrated neuronal networks. Emphasizes critical thinking and problem solving in all evaluation exercises, including daily class participation.

Principles of chemistry. Adapted to the needs of students in the physical, biological, and earth sciences.

Continuation of CHM 113. Equilibrium theory, thermodynamics, kinetics, electrochemistry, nuclear chemistry, descriptive chemistry.

Provides an overview of fundamental concepts in the study of brain organization and function. Discusses key principles regarding cellular and molecular mechanisms of neuron function, organization and information processing in sensory and motor systems, endocrine and emotional components of behavior, and cognitive consequences of diseases of the brain. Introduces methods by which these features of brain function are established.

Provides an overview of major theories, methods and topics of inquiry in the field of cognitive neuroscience. Covers the neural underpinnings of everyday cognitive activities such as attention, memory, decision making, emotion, social interaction and language.

Major areas of theory and research in psychology. Requires participation in department-sponsored research or an educationally equivalent alternative activity.

Explores the functions of the nervous system across many levels (genetic, molecular, cellular and network) in regard to how neural systems produce behavior, and how problems (e.g., injury, disease) of the CNS arise and can be overcome. Examines principles underlying the function of individual neurons and how these principles give rise to integrated neuronal networks. Emphasizes critical thinking and problem solving in all evaluation exercises, including daily class participation.

Builds a foundation for understanding and implementing basic research methodology, scientific programming in R, modeling using regression and statistical inference for neuroscience data. A strong foundation in these topics facilitates academic and professional careers in neuroscience. Beyond a career in neuroscience, develops computer programming and statistical literacy skills that are broadly applicable to day-to-day life. Delivered as a blend of lectures, R coding workshops and laboratory assignments where students plot, model and make inferences about data from molecular, systems, behavioral and cognitive neuroscience. These four branches of neuroscience are the four fundamental areas of the neuroscience major.

Concepts and methods of statistics; display and summary of data, interval estimation, hypothesis testing, correlation, regression. Applications to biological sciences.