Online courses directory (19947)

Fundamentals of nanomanufacturing technology and applications.

Use economic analysis to reach conclusions about big issues of the day, from implications of globalization to causes of economic growth, financial crises and unemployment.

Provides a firm grounding in the foundations of probability and statistics, the course focuses on real examples from the medical literature and popular press.

A short intervention designed to change students' relationships with math.

Learn about Databases, one of the most prevalent technologies underlying internet and computing applications today.

This interdisciplinary course addresses a wide range of geomechanical problems that arise during the development of oil and gas reservoirs.

A graduate level course on convex optimization, with applications in signal processing, machine learning, control, finance, and other areas.

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R.

Discover the amazing adaptability of the human body to environmental stressors. Watch and learn as we put our bodies through extreme cold, heat, stress, age, altitude, and pressure!

How can scientists become better writers? Topics include principles of good writing, tricks for writing faster and with less anxiety, and issues in publication and peer review.

Use economic analysis to reach conclusions about big issues of the day, from implications of globalization to causes of economic growth, financial crises and unemployment.

Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects.

This course introduces the core theory of modern financial economics and financial management, with a focus on capital markets and investments. Topics include functions of capital markets and financial intermediaries, asset valuation, fixed-income securities, common stocks, capital budgeting, diversification and portfolio selection, equilibrium pricing of risky assets, the theory of efficient markets, and an introduction to derivatives and options.

Asia in the Modern World: Images and Representations examines visual representations of Asia, interpreting them from both historical and modern contexts. This course is based around using the Visualizing Cultures website. Case studies focus on Japan and China from the mid-19^th to the mid-20^th centuries.

This course explores the evolution of poverty and economic security in the United States, within a global context. It examines the impact of recent economic restructuring and globalization, and reviews the current debate about the fate of the middle class, sources of increasing inequality, and approaches to advancing economic opportunity and security. In this class, students will study the topic of poverty and economic security through the lens of the lived experience of Americans: individuals, families, and households; exploring the history, geography, and forces shaping the likelihood of being poor in America.

This course investigates theories and practices of feminist inquiry across a range of disciplines. Feminist research involves rethinking disciplinary assumptions and methodologies, developing new understandings of what counts as knowledge, seeking alternative ways of understanding the origins of problems/issues, formulating new ways of asking questions and redefining the relationship between subjects and objects of study.

What makes research distinctively feminist lies in the complex connections between epistemologies, methodologies and research methods. This course explores how these connections are formed in the traditional disciplines and raise questions about why they are inadequate and/or problematic for feminist inquiry and what, specifically, are the feminist critiques of these intersections.

This course is part of the Graduate Consortium in Women's Studies at MIT.

This course introduces the design of feedback control systems as applied to a variety of air and spacecraft systems. Topics include the properties and advantages of feedback systems, time-domain and frequency-domain performance measures, stability and degree of stability, the Root locus method, Nyquist criterion, frequency-domain design, and state space methods.

This seminar engages in the notion of space from various points of departure. The goal is first of all to engage in the term and secondly to examine possibilities of art, architecture within urban settings in order to produce what is your interpretation of space.

This course is taught in four main parts. The first is a review of fundamental thermodynamic concepts (e.g. energy exchange in propulsion and power processes), and is followed by the second law (e.g. reversibility and irreversibility, lost work). Next are applications of thermodynamics to engineering systems (e.g. propulsion and power cycles, thermo chemistry), and the course concludes with fundamentals of heat transfer (e.g. heat exchange in aerospace devices).

This course covers the fundamentals of Newtonian mechanics, including kinematics, motion relative to accelerated reference frames, work and energy, impulse and momentum, 2D and 3D rigid body dynamics. The course pays special attention to applications in aerospace engineering including introductory topics in orbital mechanics, flight dynamics, inertial navigation and attitude dynamics. By the end of the semester, students should be able to construct idealized (particle and rigid body) dynamical models and predict model response to applied forces using Newtonian mechanics.