This book is designed for use in an introductory course on digital logic design, typically offered in computer engineering, electrical engineering, computer science, and other related programs. Such a course is usually offered at the sophomore level. This book makes extensive use of animation to illustrate the flow of data within a digital system and to step through some of the procedures used to design and optimize digital circuits.

The lethal poison Ricin (best known as a weapon of bioterrorism), Diphtheria toxin (the causative agent of a highly contagious bacterial disease), and the widely used antibiotic tetracycline have one thing in common: They specifically target the cell's translational apparatus and disrupt protein synthesis.
In this course, we will explore the mechanisms of action of toxins and antibiotics, their roles in everyday medicine, and the emergence and spread of drug resistance. We will also discuss the identification of new drug targets and how we can manipulate the protein synthesis machinery to provide powerful tools for protein engineering and potential new treatments for patients with devastating diseases, such as cystic fibrosis and muscular dystrophy.
This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

El actual crecimiento de las comunicaciones inalámbricas, debido al incremento de las comunicaciones de voz, vídeo y consumo de datos está causando una creciente demanda de la cantidad de canales y el ancho de banda, esto, está impulsando a los sistemas transceptores de comunicación hacia frecuencias de microondas y de ondas milimétricas para satisfacer la demanda mundial de mayores velocidades de transmisión de banda ancha, los sistemas de comunicación de comunicación inalámbrica requiere también de n desarrollo a la par de esta demanda. La Teoría electromagnética proporciona la base para todos los circuitos de microondas que hizo posible los grandes avances logrados por el campo de microondas. Es importante entender que la teoría de campo de microondas es sólo una parte de la teoría del campo electromagnético en general.

Look in the Apollo 11 Command Module Columbia to observe and record some hand-written notes and markings in areas of the spacecraft that have been hidden from view for more than 40 years.

When the Apollo 11 spacecraft lifted off on July 16, 1969, for the Moon, it signaled a climactic instance in human history.

The American Space Program was experimenting with fitness in Space when a variable resistance rope friction device which was originally designed to lower people from a burning building.

This course focuses on the practical applications of the continuum concept for deformation of solids and fluids, emphasizing force balance. Topics include stress tensor, infinitesimal and finite strain, and rotation tensors. Constitutive relations applicable to geological materials, including elastic, viscous, brittle, and plastic deformation are studied.

This free electrical engineering/technology textbook provides a series of chapters covering electricity and electronics. The information provided is great for students, makers, and professionals who are looking for an application-centric coverage of this field.

Cette page présente les 4 problèmes créés pour un cours d'introduction au Traitement du Signal donnés sous le format Apprentissage par Problème (APP). Ils s'appuient sur des ressources non disponibles en ligne (poly et slides de cours), mais peuvent être facilement adaptés pour s'appuyer sur d'autres. Le cours se focalise sur les signaux discrets, déterministes et stochastiques. Des liens vers les quizz Wooclap utilisés pour la restructuration sont aussi donnés.

This class investigates the use of computers in architectural design and construction. It begins with a pre-prepared design computer model, which is used for testing and process investigation in construction. It then explores the process of construction from all sides of the practice: detail design, structural design, and both legal and computational issues.

The bag itself was immediately recognizable in that the ALSJ long has had a page devoted to what the astronauts referred to as a McDivitt Purse.

This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. This course also explores applications of rule chaining, heuristic search, logic, constraint propagation, constrained search, and other problem-solving paradigms. In addition, it covers applications of decision trees, neural nets, SVMs and other learning paradigms.

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry. Applications are drawn from the physical and biological sciences, mathematics, and engineering. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world.

In this book, Sanjoy Mahajan shows us that the way to master complexity is through insight rather than precision. Precision can overwhelm us with information, whereas insight connects seemingly disparate pieces of information into a simple picture. Unlike computers, humans depend on insight. Based on the author's fifteen years of teaching at MIT, Cambridge University, and Olin College, The Art of Insight in Science and Engineering shows us how to build insight and find understanding, giving readers tools to help them solve any problem in science and engineering. (Description courtesy of MIT Press.)

This hands-on workshop explores the tool Atelier that was developed to support feedback in programming tutorials. Our teaching philosophy for programming is based on a tinkering approach, that is characterised by playful exploration, driven by curiosity. Students define from the start their own assignments, given only a set of ingredients to use. The role of a teacher is to provide starting points, explain the first steps to take, and to get students unstuck when necessary. This approach puts students in a very active position but is also very feedback intensive.To support giving feedback and to reduce inconsistencies in feedback given by teaching assistants (TAs), we developed a tool, Atelier, that allows to give comments on code and share this with the respective student, and also with TAs and teachers.The hands-on activity will start with an introduction, followed by an online tutorial lecture with some simple programming assignments. Participants will take the role of students as well as TAs and use Atelier to give and receive feedback. After two rounds of programming exercises, we will evaluate the tool with the participants and discuss its use and place in programming education.

This undergraduate class is designed to introduce students to the physics that govern the circulation of the ocean and atmosphere. The focus of the course is on the processes that control the climate of the planet.
Acknowledgments
Prof. Ferrari wishes to acknowledge that this course was originally designed and taught by Prof. John Marshall.

This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. It examines the classes of problems that can and cannot be solved by various kinds of machines. It tries to explain the key differences between computational models that affect their power.

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.