Courses tagged with "Information environments" (1105)

This half-semester course introduces computational methods for solving physical problems, especially in nuclear applications. The course covers ordinary and partial differential equations for particle orbit, and fluid, field, and particle conservation problems; their representation and solution by finite difference numerical approximations; iterative matrix inversion methods; stability, convergence, accuracy and statistics; and particle representations of Boltzmann's equation and methods of solution such as Monte-Carlo and particle-in-cell techniques.

This course is designed to be a survey of the various subdisciplines of geophysics (geodesy, gravity, geomagnetism, seismology, and geodynamics) and how they might relate to or be relevant for other planets. No prior background in Earth sciences is assumed, but students should be comfortable with vector calculus, classical mechanics, and potential field theory.

This course offers an introduction to ethics in business, with a focus on business management. Students explore theoretical concepts in business ethics, and cases representing the challenges they will likely face as managers. There is opportunity to work with guest faculty as well as business and other professional practitioners. Individual class sessions take the form of moderated discussion, with occasional short lectures from the instructor.

This course is designed to provide students with a broad overview of the major theories on the relationship between ethnicity and politics. The course is divided into three sections. The first covers general theory and discusses the social construction of ethnicity as well as the limits of construction. The second section discusses ethnicity as a dependent variable. This section studies the forces that shape the development of ethnic identities and their motivating power. The third section addresses ethnicity as an independent variable. In other words, it focuses on how ethnicity operates to affect important political and economic outcomes.

This course is the first semester of a year-long sequence on ethnic politics. However, each semester is self-contained and students may take the course in either or both semesters. Ethnic Politics I aims for breadth over depth. It covers many works in the “canon” of texts on ethnic politics as well as addressing many major topics (modernization, entrepreneurship, prejudice, ethnic party formation, etc.) in one week sessions. Ethnic Politics II covers some of these topics in greater depth and also requires a major research paper.

This course is designed mainly for political science graduate students conducting or considering conducting research on identity politics. While 17.504 Ethnic Politics I is designed as a primarily theoretical course, Ethnic Politics II switches the focus to methods. It aims to familiarize the student with the current conventional approaches as well as major challenges to them. The course discusses definition and measurement issues as well as briefly addressing survey techniques and modeling.

This course is a practicum-style seminar in anthropological methods of ethnographic fieldwork and writing. Depending on student experience in ethnographic reading and practice, the course is a mix of reading anthropological and science studies ethnographies; and formulating and pursuing ethnographic work in local labs, companies, or other sites.

Current research on the evolution and development of cognition and affect, including intuitive physics, biology, and psychology, language, emotions, sexuality, and social relations.

This course provides an introduction to the atmospheric chemistry involved in climate change, air pollution and biogeochemical cycles using a combination of hands-on laboratory, field studies, and simple computer models. Lectures will be accompanied by field trips to collect air samples for the analysis of gases, aerosols and clouds by the students.

Students will be exposed to all aspects of a cutting-edge technique in modern electrophysiology, in a highly structured, team oriented environment. The research projects will probe the neural mechanisms of learning and memory through tetrode array recordings coupled with patterned microstimulation. Due to the broad nature of tasks to be completed, coupled with the team oriented approach we will be employing, we are interested in students with a wide variety of laboratory experience and skill levels.

This course will teach fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, you should be able to design controllers using state-space methods and evaluate whether these controllers are robust to some types of modeling errors and nonlinearities. You will learn to:

• Design controllers using state-space methods and analyze using classical tools.
• Understand impact of implementation issues (nonlinearity, delay).
• Indicate the robustness of your control design.
• Linearize a nonlinear system, and analyze stability.

This course provides an introduction to the design of feedback systems. Topics covered include: properties and advantages of feedback systems, time-domain and frequency-domain performance measures, stability and degree of stability, root locus method, Nyquist criterion, frequency-domain design, compensation techniques, application to a wide variety of physical systems, internal and external compensation of operational amplifiers, modeling and compensation of power converter systems, and phase lock loops.

The purpose of this seminar is to provide a context for understanding the challenges of urban food provisioning from a perspective of sustainability and social inclusion in cities of the global South. The seminar will be specifically geared towards preparing students for direct participation in urban markets and food policy project intervention in Cartagena, Colombia. 

To learn more about the Cartagena Practicum, visit the class website.