This course provides an introduction to nuclear science and its engineering applications. It describes basic nuclear models, radioactivity, nuclear reactions, and kinematics; covers the interaction of ionizing radiation with matter, with an emphasis on radiation detection, radiation shielding, and radiation effects on human health; and presents energy systems based on fission and fusion nuclear reactions, as well as industrial and medical applications of nuclear science.

This is an introductory graduate-level course on the phenomenology and experimental foundations of nuclear and particle physics, including the fundamental forces and particles, as well as composites. Emphasis is on the experimental establishment of the leading models, and the theoretical tools and experimental apparatus used to establish them.

This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering. Topics spanned root finding, interpolation, approximation of functions, integration, differential equations, direct and iterative methods in linear algebra.

This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering. Topics spanned root finding, interpolation, approximation of functions, integration, differential equations and direct and iterative methods in linear algebra.

This course is offered to undergraduates and introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Topics covered include: fundamental principles of digital computing and the implications for algorithm accuracy and stability, error propagation and stability, the solution of systems of linear equations, including direct and iterative techniques, roots of equations and systems of equations, numerical interpolation, differentiation and integration, fundamentals of finite-difference solutions to ordinary differential equations, and error and convergence analysis. The subject is taught the first half of the term.
This subject was originally offered in Course 13 (Department of Ocean Engineering) as 13.002J. In 2005, ocean engineering became part of Course 2 (Department of Mechanical Engineering), and this subject was renumbered 2.993J.

This course offers an advanced introduction to numerical analysis, with a focus on accuracy and efficiency of numerical algorithms. Topics include sparse-matrix/iterative and dense-matrix algorithms in numerical linear algebra (for linear systems and eigenproblems), floating-point arithmetic, backwards error analysis, conditioning, and stability. Other computational topics (e.g., numerical integration or nonlinear optimization) are also surveyed.

6.336J is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and biological engineering, and materials science. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations, fast methods for partial differential and integral equations, techniques for dynamical system model reduction and approaches for molecular dynamics.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5211 (Introduction to Numerical Simulation).

Observational physical oceanography includes topics such as the  physical description of the sea, the physical properties of seawater, methods and measurements, wind-driven ocean circulation, abyssal ocean circulation, boundary processes, and wave motions.

This course is an introduction to the fundamental aspects of science and engineering necessary for exploring, observing, and utilizing the oceans. Hands-on projects focus on instrumentation in the marine environment and the design of ocean observatories for ocean monitoring and exploration. Topics include acoustics, sound speed and refraction, sounds generated by ships and marine animals, sonar systems and their principles of operation, hydrostatic behavior of floating and submerged bodies geared towards ocean vehicle design, stability of ocean vessels, and the application of instrumentation and electronics in the marine environment. Students work with sensor systems and deploy them in the field to gather and analyze real world data.

This course provides students with concepts, techniques and tools to design, analyze, and improve core operational capabilities, and apply them to a broad range of application domains and industries. It emphasizes the effect of uncertainty in decision-making, as well as the interplay between high-level financial objectives and operational capabilities. Topics covered include production control, risk pooling, quality management, process design, and revenue management. Also included are case studies, guest lectures, and simulation games which demonstrate central concepts.

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

This course, which spans a third of a semester, provides students with experience using techniques employed in synthetic organic chemistry. It also introduces them to the exciting research area of catalytic chiral catalysis.
This class is part of the new laboratory curriculum in the MIT Department of Chemistry. Undergraduate Research-Inspired Experimental Chemistry Alternatives (URIECA) introduces students to cutting edge research topics in a modular format.

Introduction to Oscillations and Waves covers the basic mathematics and physics of oscillatory and wave phenomena. By the end of the course, students should be able to explain why oscillations appear in many near equilibrium systems, the various mathematical properties of those oscillations in various contexts, how oscillations and waves are related, and the basic mathematical description and properties of a wave.
This course was offered as part of MITES Summer, a six-week, residential STEM experience for rising high school seniors. MIT Introduction to Technology, Engineering, and Science (MITES) provides transformative experiences that bolster confidence, create lifelong community, and build an exciting, challenging foundation in STEM for highly motivated 7th–12th grade students from diverse and underrepresented backgrounds.

This course introduces three main types of partial differential equations: diffusion, elliptic, and hyperbolic. It includes mathematical tools, real-world examples and applications.

This course provides a solid introduction to Partial Differential Equations for advanced undergraduate students. The focus is on linear second order uniformly elliptic and parabolic equations.

This course explores the nature of meaning and truth, and their bearing on the use of language in communication. No knowledge of logic or linguistics is presupposed.

This course serves as an introduction to the current research questions in phonological theory. Topics include metrical and prosodic structure, features and their phonetic basis in speech, acquisition and parsing, phonological domains, morphology, and language change and reconstruction. Activities include problem solving, squibs, and data collection.

This course combines practical instruction, field trips, group discussions, and individual reviews intended to foster a critical awareness of how images in our culture are produced and constructed. Student-initiated term projects are at the core of this exploration of the relationship of image to language and issues of interpretation and personal history. Besides, this course also offers practical instruction in basic black and white techniques, digital imaging, fundamentals of camera operation, lighting, film exposure, development and printing. Course provides opportunity for continued exploration.

This course provides practical instruction in the fundamentals of analog and digital SLR and medium/large format camera operation, film exposure and development, black and white darkroom techniques, digital imaging, and studio lighting.
This semester we will explore the MIT Department of Brain and Cognitive Sciences for our theme- and site-specific term project, which provides opportunities to develop technical skills and experimental photographic techniques, and for personal artistic exploration. Final projects will be presented on site in exhibition format.
Work in progress is continuously presented and discussed in a critical forum. Lectures, readings, visiting professionals, group discussions, and site visits encourage aesthetic appreciation of the medium and a deeper understanding of our semester theme, as well as a critical awareness of how images in our culture are produced and constructed.

This introductory course helps students learn to pose questions and analyze problems in the field of planning in developing countries. Not arguing for one “right” approach, the course draws on grounded empirical experiences - historical and recent - to help students navigate the way they approach their future work in developing-country governments, NGOs and international organizations.