Students learn about nuclear energy generation through a nuclear power plant virtual field trip that includes visiting four websites and watching a short video taken inside a nuclear power plant. They are guided by a handout that provides the URLs and questions to answer from their readings. They conclude with a class discussion to share their findings and reflections. It is recommended that students complete the associated activity, Chernobyl Empathy, before conducting this lesson; doing this assists students in gaining an understanding of how devastating nuclear meltdowns can be, which underscores the importance of careful engineering.

Start a chain reaction, or introduce non-radioactive isotopes to prevent one. Control energy production in a nuclear reactor! (Previously part of the Nuclear Physics simulation - now there are separate Alpha Decay and Nuclear Fission sims.)

Start a chain reaction, or introduce non-radioactive isotopes to prevent one. Control energy production in a nuclear reactor! (Previously part of the Nuclear Physics simulation - now there are separate Alpha Decay and Nuclear Fission sims.)

Introduction to reactor dynamics including subcritical multiplication, critical operation in absence of thermal feedback effects and effects of Xenon, fuel and moderator temperature, etc. Derivation of point kinetics and dynamic period equations. Techniques for reactor control including signal validation, supervisory algorithms, model-based trajectory tracking, and rule-based control. Overview of light-water reactor startup. Lectures and demonstrations with computer simulation and the use of the MIT Research Reactor.

Problems in nuclear engineering often involve applying knowledge from many disciplines simultaneously in achieving satisfactory solutions. The course will focus on understanding the complete nuclear reactor system including the balance of plant, support systems and resulting interdependencies affecting the overall safety of the plant and regulatory oversight. Both the Seabrook and Pilgrim nuclear plant simulators will be used as part of the educational experience to provide as realistic as possible understanding of nuclear power systems short of being at the reactor.

This capstone course is a group design project involving integration of nuclear physics, particle transport, control, heat transfer, safety, instrumentation, materials, environmental impact, and economic optimization. It provides opportunities to synthesize knowledge acquired in nuclear and non-nuclear subjects and apply this knowledge to practical problems of current interest in nuclear applications design. Each year, the class takes on a different design project; this year, the project is a power plant design that ties together the creation of emission-free electricity with carbon sequestration and fossil fuel displacement. Students taking graduate version complete additional assignments.This course is an elective subject in MIT's undergraduate Energy Studies Minor. This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.

This course will expose students to tools and methods of analysis for use in assessing the challenges and dangers associated with nuclear weapons in international politics. The first two weeks of the course will look at the technology and design of nuclear weapons and their means of production. The next five weeks will look at the role they played in the Cold War, the organizations that managed them, the technologies that were developed to deliver them, and the methods used to analyze nuclear force structures and model nuclear exchanges. The last six weeks of the course will look at theories and cases of nuclear decision making beyond the original five weapon states, and will look particularly at why states pursue or forego nuclear weapons, the role that individuals and institutions play, and the potential for both new sources of proliferation and new consequences.

This art history video dicussion examines "Nude Woman" (Venus of Willendorf), c. 28,000-25,000 B.C.E., (Naturhistorisches Museum, Vienna).

This number after bingo activity increases student flexibility with the number sequence and their ability to start counting sequences at various points.

This number line up activitiy gets students out of their seats and helps reinforce the counting sequence.

This short video and interactive assessment activity is designed to teach third graders about number riddles (numbers up to 100,000).

This lesson discusses how to identify sets of numbers as natural numbers, whole numbers, integers, rational numbers, irrational numbers, and real numbers.

This activity is played in pairs and gives students practice reading numbers out loud and tracing them.

This site teaches Quantities to High Schoolers through a series of 116 questions and interactive activities aligned to 4 Common Core mathematics skills.

This site teaches The Complex Number System to High Schoolers through a series of 2195 questions and interactive activities aligned to 16 Common Core mathematics skills.

This site teaches The Real Number System to High Schoolers through a series of 1090 questions and interactive activities aligned to 8 Common Core mathematics skills.

This site teaches Vector and Matrix Quantities to High Schoolers through a series of 2195 questions and interactive activities aligned to 16 Common Core mathematics skills.

Students learn the connection between the counting sequence and experience from their daily lives in this daily activity. It also helps give students a sense of how "many" each number is.

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB programming.