As a weighted plastic egg is dropped into a tub of flour, students see the effect that different heights and masses of the same object have on the overall energy of that object while observing a classic example of potential (stored) energy transferred to kinetic energy (motion). The plastic egg's mass is altered by adding pennies inside it. Because the egg's shape remains constant, and only the mass and height are varied, students can directly visualize how these factors influence the amounts of energy that the eggs carry for each experiment, verified by measurement of the resulting impact craters. Students learn the equations for kinetic and potential energy and then make predictions about the depths of the resulting craters for drops of different masses and heights. They collect and graph their data, comparing it to their predictions, and verifying the relationships described by the equations. This classroom demonstration is also suitable as a small group activity.

In this lesson, students learn about sound. Girls and boys are introduced to the concept of frequency and how it applies to musical sounds.

The goal of this maker challenge is to demystify sensors, in particular the ambient light sensor, and to map its readings visually. In today’s world, we make sense of the environment around us by filling it with sensors, and we use output devices to display real-time data in a meaningful way. Take any smartphone as an example. Aside from the embedded camera and microphone, a number of other sensors collect a wide range of data. Depending upon the model, these sensors may collect data on proximity, motion, ambient light, moisture, compass, and touch. Some of these data are directly visualized through an app, while many operate internally and without a user interface, just below the surface of the screen. In order to become more familiar with the technology that we use (and often take for granted) on a daily basis, your challenge is to assemble a light sensor circuit, observe its readings using the Arduino Serial Monitor, and then create your own unique visualization by interfacing with the Processing software. Students learn how to use calibration and smoothing to capture a better picture of the data. Afterwards, they share their visualizations with the entire class. The time required for this challenge depends on students’ prior knowledge of Arduino and Processing software. Background resources for beginners help students get up to speed on microcontroller hardware and offer additional challenges for intermediate and advanced users.

Students apply sound-activated light-up EL wire to create personalized light-up clothing outfits. During the project, students become familiar with the components, code and logic to complete circuits and employ their imaginations to real-world applications of technology. Acting as if they are engineers, students are challenged to incorporate electroluminescent wire to regular clothing to make attention-getting safety clothing for joggers and cyclists. Luminescent EL wire stays cool, making it ideal to sew into wearable projects. They use the SparkFun sound detector and the EL sequencer circuit board to flash the EL wire to the rhythm of ambient sound, such as music, clapping, talking—or roadway traffic sounds! The combination of sensors, microcontrollers and EL wire enables a wide range of feedback and control options.

Graph theory is a visual way to represent relationships between objects. One of the simplest uses of graph theory is a family tree that shows how different people are related. Another application is social networks like Facebook, where a network of "friends" and their "friends" can be represented using graphs. Students learn and apply concepts and methods of graph theory to analyze data for different relationships such as friendships and physical proximity. They are asked about relationships between people and how those relationships can be illustrated. As part of the lesson, students are challenged to find the social graph of their friends. This prepares students for the associated activity during which they simulate and analyze the spread of disease using graph theory by assuming close proximity to an infected individual causes the disease to spread.

This course gives an overview of engineering management and covers topics such as financial principles, management of innovation, technology strategy, and best management practices. The focus of the course is the development of individual skills and team work. This is carried out through an exposure to management tools.

This lesson will discuss the details for a possible future manned mission to Mars. The human risks are discussed and evaluated to minimize danger to astronauts. A specialized launch schedule is provided and the different professions of the crew are discussed. Once on the surface, the crew's activities and living area will be covered, as well as how they will make enough fuel to make it off the Red Planet and return home.

The basic processes involved in manufacturing systems are demonstrated while students produce their own picture frames. They learn about cutting, shaping, assembly, joining and finishing, as well as attention to quality, safety and production quantity.

Students explore the composition and practical application of parallel circuitry, compared to series circuitry. Students design and build parallel circuits and investigate their characteristics, and apply Ohm's law.

Students are introduced to the concept of tracking and spatial movements of animals in relation to the environments in which they live. Students improve their understanding of animal tracking and how technology is used in this process.

This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.

In this course the fundamentals of fluid mechanics are developed in the context of naval architecture and ocean science and engineering. The various topics covered are: Transport theorem and conservation principles, Navier-Stokes' equation, dimensional analysis, ideal and potential flows, vorticity and Kelvin's theorem, hydrodynamic forces in potential flow, D'Alembert's paradox, added-mass, slender-body theory, viscous-fluid flow, laminar and turbulent boundary layers, model testing, scaling laws, application of potential theory to surface waves, energy transport, wave/body forces, linearized theory of lifting surfaces, and experimental project in the towing tank or propeller tunnel.

The marine environment is unique and because little light penetrates under water, technologies that use sound are required to gather information. The seafloor is characterized using underwater sound and acoustical systems. Current technological innovations enable scientists to further understand and apply information about animal locations and habitat. Remote sensing and exploration with underwater vehicles enables researchers to map and understand the sea floor. Similar technologies also aid in animal tracking, a method used within science and commercial industries. Through inquiry-based learning techniques, students learn the importance of habitat mapping and animal tracking.

The following lesson is an introduction to the ideas and implications of animal tracking. Animal tracking is a useful method used within science and commercial industries. For instance, when planning the development coastal areas, animal presence and movement should be taken into consideration. The lesson engages students in an activity to monitor animal foraging behavior on a spatial scale. The students will break into groups and track each other's movements as they move through a pre-determined course. The results will be recorded both individually and collaboratively in an attempt to understand animal movement regarding foraging behavior. Students will also engage in a creative design activity, focusing on how they would design a tag for a marine animal of their choice. In conclusion, instructors will query the class on data interpretation and how spatial information is important in relation to commercial, conservation, and scientific research decisions.

Based on their experience exploring the Mars rover Curiosity and learning about what engineers must go through to develop a vehicle like Curiosity, students create Android apps that can control LEGO MINDSTORMS(TM) NXT robots, simulating the difficulties the Curiosity rover could encounter. The activity goal is to teach students programming design and programming skills using MIT's App Inventor software as the vehicle for the learning. The (free to download) App Inventor program enables Android apps to be created using building blocks without having to actually know a programming language. At activity end, students are ready to apply what they learn to write other applications for Android devices.

Students explore Mars and Jupiter, the fourth and fifth planets from the Sun. They learn some of the unique characteristics of these planets. They also learn how engineers help us learn about these planets with the design and development of telescopes, deep space antennas, spacecraft and planetary rovers.

As part of a design challenge, students learn how to use a rotation sensor (located inside the casing of a LEGO® MINDSTORMS ® NXT motor) to measure how far a robot moves with each rotation. Through experimentation and measurement with the sensor, student pairs determine the relationship between the number of rotations of the robot's wheels and the distance traveled by the robot. Then they use this ratio to program LEGO robots to move precise distances in a contest of accuracy. The robot that gets closest to the goal without touching the toy figures at the finish line is the winning programming design. Students learn how rotational sensors measure distance, how mathematics can be used for real-world purposes, and about potential sources of error due to gearing when using rotation sensor readings for distance calculations. They also become familiar with the engineering design process as they engage in its steps, from understanding the problem to multiple test/improve iterations to successful design.

Students learn about slope, determining slope, distance vs. time graphs through a motion-filled activity. Working in teams with calculators and CBL motion detectors, students attempt to match the provided graphs and equations with the output from the detector displayed on their calculators.

De student die dit vak met goed gevolg heeft doorlopen zal in staat zijn om: (1) Op basis van eigenschappen en gedrag onder externe invloeden een klassificatie te maken van materialen en op basis daarvan een eerste indruk te krijgen van hun geschiktheid in bepaalde toepassingen. (2) Inzicht te verkrijgen in de rol van materialen, materiaalgebruik en materiaalontwikkeling in de ontwikkeling, kwaliteit, mogelijkheden en bedreigingen van de samenleving afhankelijk van tijd, plaats en cultuur. Dit inzicht is gebaseerd op objectieve data. (3) Vast te stellen welke materiaaleigenschappen van kritisch belang zijn in mechanische en andere werktuigbouwkundige ontwerpen, en met behulp van eenduidige criteria materiaalkeuzes in de ontwerpcriteria van constructies te optimaliseren. De belangrijkste eigenschappen die aan de orde komen zijn dichtheid, stijfheid, sterkte, plasticiteit, breuk, vermoeiing, wrijving, slijtage. (4) Mechanische eigenschappen van materialen te herleiden tot chemische bindingen, onderlinge krachten, ordeningspatronen, defecten, en relatieve bewegingsmogelijkheden van atomen. De verschillende lengteschalen die materiaaleigenschappen bepalen staan hierbij centraal. Hiermee zal tevens inzicht verkregen worden in de mogelijkheden en beperkingen van materialen onder extreme omstandigheden en in de strategieën die gevolgd kunnen worden om materialen te verbeteren. (5) Optimale keuzes te maken binnen het beschikbare spectrum van procestechnieken (productie, bewerking, vorming, verbinding, afwerking) om componenten en eindproducten te vervaardigen. (6) Software te gebruiken waarmee, gegeven een aantal vereisten van materiaaleigenschappen, het beste materiaal voor een ontwerp kan worden geselecteerd. Deze materiaaleigenschappen gaan verder dan mechanische eigenschappen alleen. Thermische, elektrische, ecologische, economische en recycling-eigenschappen zullen in voorkomende gevallen ook meegewogen worden.

This course is a required sophomore subject in the Department of Materials Science and Engineering, designed to be taken in conjunction with the core lecture subject 3.012 Fundamentals of Materials Science and Engineering. The laboratory subject combines experiments illustrating the principles of quantum mechanics, thermodynamics and structure with intensive oral and written technical communication practice. Specific topics include: experimental exploration of the connections between energetics, bonding and structure of materials, and application of these principles in instruments for materials characterization; demonstration of the wave-like nature of electrons; hands-on experience with techniques to quantify energy (DSC), bonding (XPS, AES, FTIR, UV/vis and force spectroscopy), and degree of order (x-ray scattering) in condensed matter; and investigation of structural transitions and structure-property relationships through practical materials examples.