A hands-on introduction to observing and understanding the extraterrestrial sky. Daily and annual motions of the sun, moon, planets, and stars; celestial coordinate systems; apparent brightnesses and colors of the stars; time; calendars. Observations at the Williston Observatory with the unaided eye, visually with the eight-inch telescope, and by electronic camera with computer-controlled telescopes.

This course will examine how questions of food and consumption have impacted and interacted with issues of South Asian modernity, culture, gender, society and politics in complex ways. We shall connect how the politics of taste have come to be governed by historical processes of human generated environmental changes and colonialism wherein food operates as a site of paradox and conflict, resistance and alterity. We shall cover questions that relate food to national identity, to environment, to systems of oppression, to ideas of ethnicity and migration among other things.

An introduction to parallel algorithmics, emphasizing theoretical formulations and developments. The design of application-oriented algorithms in varied environments: idealized shared-memory algorithmic paradigms that ignore communication costs, distributed-memory emulations of shared memory, distributed-memory algorithmic paradigms. Concepts illustrated via important applications. The design of systems-oriented algorithms for: task scheduling, load balancing, message routing, and latency hiding. Prerequisite: COMPSCI 611 or equivalent.

Methods used in the study of neuroscience and behavior including small animal neurosurgery and measurement of behavioral effects of drugs and hormones. Prerequisites: PSYCH 241, 330.

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.

Earth surface processes and their relation to topography and landscape evolution. Focus on hillslope, fluvial, and other processes that shape Earth's surface. Field trips by arrangement.

This course will help you understand mathematics and physics, those courses you took but now don't remember, so that you can fulfill your dreams of being a scientist. We will learn the art and style of quantitative analysis using geologic processes as examples. We will re-learn calculus, probability and statistics, and linear algebra. We will learn the Python computing language to write computer code to apply, use, and learn these concepts. After this course, you should feel more comfortable understanding math and physics and their applications to Geosciences.