Courses tagged with "Nutrition" (6413)
In this physics course, you will learn about the quantum description of light with applications to squeezed states of light and teleportation as well as the non-classical states of light and single photons. You will learn how to do metrology with light. You will also learn about correlations with photons as well as atom correlation functions.
This course is a part of a series of courses to introduce fundamental concepts and current frontiers of atomic physics, and to prepare you for cutting-edge research:
- 8.422.1x: Quantum States and Dynamics of Photons
- 8.422.2x: Atom-photon Interactions
- 8.422.3x: Optical Bloch Equations and Open System Dynamics
- 8.422.4x: Light Forces and Laser Cooling
- 8.422.5x: Ultracold Atoms and Ions for Many-body Physics and Quantum Information Science
At MIT, the content of these five courses makes up the second of a two-semester sequence (8.421 and 8.422) for graduate students interested in Atomic, Molecular, and Optical Physics. This sequence is required for Ph.D. students doing research in this field.
In these five courses you will learn about the following topics: quantum states and dynamics of photons, photon-atom interactions: basics and semiclassical approximations, open system dynamics, optical Bloch equations, applications and limits of the optical Bloch equations, dressed atoms, light force, laser cooling, cold atoms, evaporative cooling, Bose-Einstein condensation, quantum algorithms and protocols, ion traps and magnetic traps.
Completing this series allows you to pursue advanced study and research in cold atoms, as well as specialized topics in condensed matter physics.
In this physics course you will learn about ultracold bosons and fermions, and you will hear from Prof. Ketterle about Bose-Einstein condensation (BEC). Prof. Ketterle was among the first to achive BEC in the lab and was awarded the Nobel prize in 2001 for his work along with Eric Cornell and Carl Wieman. You will also learn about weakly interacting Bose gases, as well as superfluid to Mott insulator transition, BEC-BCS crossover, trapped ions and quantum gates with ions.
This course is a part of a series of courses to introduce concepts and current frontiers of atomic physics, and to prepare you for cutting-edge research:
- 8.422.1x: Quantum states and dynamics of photons
- 8.422.2x: Atom-photon interactions
- 8.422.3x: Optical Bloch equations and open system dynamics
- 8.422.4x: Light forces and laser cooling
- 8.422.5x: Ultracold atoms and ions for many-body physics and quantum information science
At MIT, the content of the five courses makes the second of a two-semester sequence (8.421 and 8.422) for graduate students interested in Atomic, Molecular, and Optical Physics. This sequence is required for Ph.D. students doing research in this field.
Completing the series allows you to pursue advanced study and research in cold atoms, as well as specialized topics in condensed matter physics. In these five courses you will learn about the following topics:
- quantum states and dynamics of photons
- photon-atom interactions: basics and semiclassical approximations
- open system dynamics
- optical Bloch equations
- applications and limits of the optical Bloch equations
- dressed atoms
- light force
- laser cooling
- cold atoms
- evaporative cooling
- Bose-Einstein condensation
- quantum algorithms and protocols
- ion traps and magnetic traps.
This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations; free energy and phase transitions; fluctuations and transport properties; and coarse-graining approaches and mesoscale models. The course employs case studies from industrial applications of advanced materials to nanotechnology. Several laboratories will give students direct experience with simulations of classical force fields, electronic-structure approaches, molecular dynamics, and Monte Carlo.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5107 (Atomistic Computer Modeling of Materials).
Acknowledgements
Support for this course has come from the National Science Foundation's Division of Materials Research (grant DMR-0304019) and from the Singapore-MIT Alliance.
A key skill for HR practitioners or hiring managers is the ability to attract talent to the organization. Today, the availability of social media tools has changed this process, although the end result is the same. Because the tools change so quickly, this course offers a framework for using social media to your advantage, rather than discussing specific social media platforms in detail. This course addresses a key aspect of attracting talent—the employer brand.
This Freshman Advising Seminar surveys the many applications of magnets and magnetism. To the Chinese and Greeks of ancient times, the attractive and repulsive forces between magnets must have seemed magical indeed. Through the ages, miraculous curative powers have been attributed to magnets, and magnets have been used by illusionists to produce "magical" effects. Magnets guided ships in the Age of Exploration and generated the electrical industry in the 19th century. Today they store information and entertainment on disks and tapes, and produce sound in speakers, images on TV screens, rotation in motors, and levitation in high-speed trains. Students visit various MIT projects related to magnets (including superconducting electromagnets) and read about and discuss the history, legends, pseudoscience, science, and technology of types of magnets, including applications in medicine. Several short written reports and at least one oral presentation will be required of each participant.
In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. You will learn to analyse, synthesize and transform sounds using the Python programming language.
By the end of this course you will have developed a spoken and written profile in German that reflects your backgrounds, customs and the cities you live in. Through the medium of a foreign language, we will learn about each other and exchange our reactions to contemporary German life and lifestyles.
This course is a short introduction to the rich and distinctive world of Australian literature, a world of ancient and modern forms of writing about a vast and varied continent. Explore the work of writers who have responded imaginatively to the unique landscapes of Australia and to its remarkable human history.
As a Python programmer, leveraging Flask allows you to quickly and easily build your own web applications. But before you share your apps on the Internet you should protect your users' data, ensuring information stored on your site is safe from unwanted manipulation. You could implement web security and permissions on your own, but relying on trusted providers is a faster, safer, and easier way to allow users to login to your application - without having to create and maintain another account, profile, and password. In this course, you will learn to implement the OAuth 2.0 framework to allow users to securely login to your web applications. You'll be provided a restaurant menu application created in Flask. By the end of this course, you will write the necessary code to implement Google+ Sign-In and Facebook Login in options so users can create restaurant menus that are viewable by everyone but only modifiable by the original creator.
This course illuminates current theories about autism together with challenges faced by people on the autism spectrum. Theories in communicating, interacting socially, managing cognitive and affective overload, and achieving independent lifestyles are covered. In parallel, the course presents state-of-the-art technologies being developed for helping improve both theoretical understanding and practical outcomes. Participants are expected to meet and interact with people on the autism spectrum. Weekly reading, discussion, and a term project are required.
With this course, you will learn about AutoLayout and how to use stack views and constraints to create pixel-perfect UIs. Also, you will take a deep dive and learn about some of the most commonly misunderstood properties affecting layout like distribution, alignment, content hugging, and compression resistance. Then, you will put all of this knowledge to use and start creating functional interfaces with multiple stack views and UI elements. In fact, you will recreate an interface from a very well known app. And, by the end of this course, you will be ready to create beautiful interfaces from scratch.
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.
6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.
Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, environment perception, probabilistic map based localization and mapping, and motion planning. The lectures and exercises of this course introduce several types of robots such as wheeled robots, legged robots and drones.
This lecture closely follows the textbook Introduction to Autonomous Mobile Robots by Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, second edition 2011.
In recent years, flying robots such as miniature helicopters or quadrotors have received a large gain in popularity. Potential applications range from aerial filming over remote visual inspection of industrial sites to automatic 3D reconstruction of buildings. Navigating a quadrotor manually requires a skilled pilot and constant concentration. Therefore, there is a strong scientific interest to develop solutions that enable quadrotors to fly autonomously and without constant human supervision. This is a challenging research problem because the payload of a quadrotor is uttermost constrained and so both the quality of the onboard sensors and the available computing power is strongly limited.
In this course, we will introduce the basic concepts for autonomous navigation for quadrotors. The following topics will be covered:
- 3D geometry,
- probabilistic state estimation,
- visual odometry, SLAM, 3D mapping,
- linear control.
In particular, you will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.
The course consists of a series of weekly lecture videos that we be interleaved by interactive quizzes and hands-on programming tasks. For the flight experiments, we provide a browser-based quadrotor simulator which requires the students to write small code snippets in Python.
This course is intended for undergraduate and graduate students in computer science, electrical engineering or mechanical engineering. This course has been offered by TUM for the first time in summer term 2014 on EdX with more than 20.000 registered students of which 1400 passed examination. The MOOC is based on the previous TUM lecture “Visual Navigation for Flying Robots” which received the TUM TeachInf best lecture award in 2012 and 2013.
FAQ
Do I need to buy a textbook?
No, all required materials will be provided within the courseware. However, if you are interested, we recommend the following additional materials:
- This course is based on the TUM lecture Visual Navigation for Flying Robots. The course website contains lecture videos (from last year), additional exercises and the full syllabus: http://vision.in.tum.de/teaching/ss2013/visnav2013
- Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard and Dieter Fox. MIT Press, 2005.
- Computer Vision: Algorithms and Applications. Richard Szeliski. Springer, 2010.
Do I need to build/own a quadrotor?
No, we provide a web-based quadrotor simulator that will allow you to test your solutions in simulation. However, we took special care that the code you will be writing will be compatible with a real Parrot Ardrone quadrotor. So if you happen to have a Parrot Ardrone quadrotor, we encourage you to try out your solutions for real.
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.
Aviation 101 is a free online Introduction to Aviation Course. Are you interested in aviation? Have you thought you might like to become a pilot? Proceed at your own pace to learn fundamentals that will give you a head start to your aviation career.
In this course, you’ll be introduced to virtual network configuration through the Microsoft Azure Portal and network configuration files. You’ll also see how to use network services to configure and load balance network traffic using tools such as Azure DNS. Load Balancer, Azure Traffic Manager, and Application Gateway. And because this is about the cloud, you’ll see how to connect your on-premises computers to Azure virtual networks as well as establishing connectivity between sites.
This course focuses on Azure Storage as a service that scales to meet the data storage demand, allows data access anywhere at any time based on an internet connection, provides a platform for building internet-scale applications, and can store structured and non-structured data in the appropriate format in the cloud.
You’ll be introduced to managing storage through Azure Storage accounts as well as the different types of accounts a storage account can contain.
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