6.270 is a hands-on, learn-by-doing class, in which participants design and build a robot that will play in a competition at the end of January. The goal for the students is to design a machine that will be able to navigate its way around the playing surface, recognize other opponents, and manipulate game objects. Unlike the machines in Design and Manufacturing I (2.007), 6.270 robots are totally autonomous, so once a round begins, there is no human intervention.
The goal of 6.270 is to teach students about robotic design by giving them the hardware, software, and information they need to design, build, and debug their own robot. The subject includes concepts and applications that are related to various MIT classes (e.g. 6.001, 6.002, 6.004, and 2.007), though there are no formal prerequisites for 6.270.

Through detailed explanations, visual aids, and practical examples, this material covers the fundamental concepts of azeotropic and extractive distillation, including the flowsheet of azeotropic distillation columns, the role of entrainers, and the challenges posed by azeotropes in traditional distillation processes.   

Nearly Everything You Need To Know About the Aztecs Can Be Found Within the Sacred Precinct.

This engaging video examines the most important part of the entire Aztec world: the literal center of the Universe: The Sacred Precinct of Mexico-Tenochtitlan. Now, nearly everything you need to know about the Aztecs can be found within this sacred space located in the center of its majestic city: Tenochtitlan. There’s about 78 structures, although all of them haven’t been found yet…. But these buildings can you teach you nearly everything… about the Culhua Mexica. You can learn about Aztec religion…. Social structure… architecture… engineering… sports… their cleanliness.

Model of Sacred Precinct is located at the Mexican National Museum of Anthropology and History.

This book treats optics at the level of students in the later stage of their bachelor or the beginning of their master. It is assumed that the student is familiar with Maxwell’s equations. Although the book takes account of the fact that optics is part of electromagnetism, special emphasis is put on the usefulness of approximate models of optics, their hierarchy and limits of validity. Approximate models such as geometrical optics and paraxial geometrical optics are treated extensively and applied to image formation by the human eye, the microscope and the telescope.

This book treats optics at the level of students in the later stage of their bachelor or the beginning of their master. It is assumed that the student is familiar with Maxwell’s equations. Although the book takes account of the fact that optics is part of electromagnetism, special emphasis is put on the usefulness of approximate models of optics, their hierarchy and limits of validity. Approximate models such as geometrical optics and paraxial geometrical optics are treated extensively and applied to image formation by the human eye, the microscope and the telescope.

Polarisation states and how to manipulate them are studied using Jones vectors and Jones matrices. In the context of interference, the coherence of light is explained thoroughly. To understand fundamental limits of resolution which cannot be explained by geometrical optics, diffraction theory is applied to imaging. The angular spectrum method and evanescent waves are used to understand the inherent loss of information about subwavelength features during the propagation of light. The book ends with a study of the working principle of the laser.

To safely work with electricity, it is important to have a grasp of the basic theories. Whether we are talking about atomic structure, electrical terms, or measurement devices, understanding the theory of electricity is a key concept. This textbook, divided into three sections, provides easy-to-understand and enjoyable lessons on atomic structure, electrical units, and measurement devices for those training and working as electricians.

In Basic Engineering Data Collection and Analysis, Stephen B. Vardeman and J. Marcus Jobe stress the practical over the theoretical. Step by step, students get real engineering data and scenario examples along with chapter-long case studies that illustrate concepts in realistic, thoroughly detailed situations. This approach encourages students to work through the material by carrying out data collection and analysis projects from problem formulation through the preparation of professional technical reports—just as if they were on the job.

This textbook is based on a different paradigm for organizing an engineering science core --- a systems, accounting and modeling approach --- that emphasizes the common, underlying concepts of engineering science. Although this approach is not new, as most graduate students have been struck by this idea sometime during their graduate education, its use as the organizing principle for an undergraduate curriculum is new. By focusing on the underlying concepts and stressing the similarities between subjects that are often perceived by students (and taught by faculty) as unconnected topics, this approach provides engineering students a foundational framework for recognizing and building connections as they travel through their education.

This course provides students with a basic knowledge of structural analysis and design for buildings, bridges and other structures. The course emphasizes the historical development of structural form and the evolution of structural design knowledge, from Gothic cathedrals to long span suspension bridges. Students will investigate the behavior of structural systems and elements through design exercises, case studies, and load testing of models. Students will design structures using timber, masonry, steel, and concrete and will gain an appreciation of the importance of structural design today, with an emphasis on environmental impact of large scale construction.

This course covers the following questions. What are the predominant heat producing elements of the Earth? Where and how much are they? Are they present in the core of the Earth? Detection of antineutrinos generated in the Earth provides: 1) information on the sources of the terrestrial heat, 2) direct test of the Bulk Silicate Earth (BSE) model and 3) testing of non-conventional models of Earth's core. Use of antineutrinos to probe the deep interior of our planet is becoming practical due to recent fundamental advances in the antineutrino detectors.

This course is conducted as an artificial intelligence programming contest in Java. Students work in teams to program virtual robots to play Battlecode, a real-time strategy game. Optional lectures are provided on topics and programming practices relevant to the game, and students learn and improve their programming skills experientially. The competition culminates in a live Battlecode tournament.
This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Design of shoreline protection along rivers, canals and the sea; load on bed and shoreline by currents, wind waves and ship motion; stability of elements under current and wave conditions; stability of shore protection elements; design methods, construction methods. Flow: recapitulation of basics from fluid mechanics (flow, turbulence), stability of individual grains (sand, but also rock) in different type of flow conditions (weirs, jets), scour and erosion. Porous Media: basic equation, pressures and velocities on the stability on the boundary layer; groundwater flow with impermeable and semi-impermeable structures; granular filters and geotextiles. Waves: recapitulation of the basics of waves, focus on wave forces on the land-water boundary, specific aspects of ship induced waves, stability of elements under wave action (loose rock, placed blocks, impermeable layers) Design: overview of the various types of protections, construction and maintenance; design requirements, deterministic and probabilistic design; case studies, examples Materials and environment: overview of materials to be used, interaction with the aquatic environment, role of the land-water boundary as part of the ecosystem; environmentally sound shoreline design.

If you’re a coastal engineer, ecologist or planner, then this is the course for you. You already know that engineering and ecological principles are not enough to realize nature-friendly solutions in practice. You need people on your side!

In this course you will learn how to build a relevant coalition of stakeholders to support the design and implementation of ecosystem-based hydraulic infrastructures. After learning basic stakeholder mapping and game theory techniques, you will apply Social Design Principles to a Building with Nature ecosystem-based design case. This will equip you to identify promising collaborative arrangements for your engineering or planning practice.

The course builds on the previous Building with Nature MOOC, which explored the use of natural materials and ecological processes in achieving effective and sustainable hydraulic infrastructure designs, distilling Engineering and Ecological Design Principles. In this course, the missing element of Social Design Principles are developed and taught.

You’ll learn from renowned Dutch engineers and international environmental scientists, who work at the technical- governance interface. Iconic examples such as the Maasvlakte II expansion to Rotterdam Harbor and the Delfland Sand Engine Mega-nourishment serve as study material. The challenges in designing and implementing these nature-friendly hydraulic infrastructures are explored by the eminent professors who were responsible for their genesis.

Join us in becoming one of the new generation of engineers, ecologists and planners who see the Building with Nature integrated design approach as critical to hydraulic engineering, nature and society.

This will be useful in understanding bias compensation and transistor stability i.e. operating point stability.

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

assess their current situation regarding potential big data-induced changes of a disruptive nature,
identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
strengthen their own position and that of their organization in our digitalized knowledge economy
The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

This course explores the physical, ecological, technological, political, economic, and cultural implications of big plans and mega-urban landscapes in a global context. It uses local and international case studies to understand the process of making major changes to urban landscape and city fabric, and to regional landscape systems. It includes lectures by leading practitioners. The assignments consider planning and design strategies across multiple scales and time frames.

Using natural sensory system concepts to develop and improve sensory systems will continue to thrive for many years to come. Technology advances rapidly (Moore’s Law) as does our understanding of biological principles and designs. These trends fuel the fertile grounds of bio-inspired sensory systems, a topic that is inherently multidisciplinary. This book will serve well as either an academic text on the subject or an introduction to the variety of proven bio-inspired designs. The focus is on sensory systems that interpret environmental stimuli. It introduces natural photo-, mechano-, and chemo-sensory systems across the animal kingdom and also summarizes various novel engineering ideas that glean ideas from these natural sensory systems.

This course focuses on the interaction of chemical engineering, biochemistry, and microbiology. Mathematical representations of microbial systems are featured among lecture topics. Kinetics of growth, death, and metabolism are also covered. Continuous fermentation, agitation, mass transfer, and scale-up in fermentation systems, and enzyme technology round out the subject material.

Biochemical Oxygen Demand" is an essential educational resource tailored for environmental science and engineering students, aiming to deepen their understanding of water quality assessment and pollution control. This unit comprises a series of engaging lessons, each meticulously designed to explore the dynamics of Biological Oxygen Demand (BOD) and its implications for aquatic ecosystems.Beginning with foundational concepts of dissolved oxygen and BOD, learners progress to advanced topics such as the Dissolved Oxygen Model and SAG (Submerged Aquatic Growth) curve analysis. Through interactive discussions and problem-solving exercises, students develop proficiency in calculating key parameters related to water quality, including DO concentrations and BOD levels.

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.