Courses tagged with "Nutrition" (6413)

By Eric Ball and Joseph LiPuma

This course introduces the exciting basic science that underlies modern medicine, and shows how we use that knowledge to understand medicine today. The course is designed for the general public, including high school students, who are interested in learning more about how the body works.

This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well.

Everywhere, every day, everybody uses language. There is no human society, no matter how small or how isolated, which does not employ a language that is rich and diverse. This course introduces you to linguistics, featuring interviews with well-known linguists and with speakers of many different languages. Join us to explore the miracles of human language!

Caves, springs, disappearing streams and other curious features characterize the Missouri landscape. This course will explore Missouri’s caves, describe how these systems form, and talk about how speleologists work to protect these valuable resources.

Discover how Missouri emerges as a flashpoint of larger national tensions during the Civil War; how it offers a microcosm of the divisions between the North and South; and how it powerfully illustrates the devastation that civil war brought upon bitterly divided border states.

Las estructuras están presentes en todos los sistemas que nos rodean. Descubrirlas y entender cómo funcionan es sencillo y fascinante.

This course is currently under development and is expected to be offered October 2015.

How do you design a mobile app that truly changes people's lives? How can you understand how a new service is being used, both quantitatively and qualitatively? How can you use all of the rich sensing and I/O capabilities of mobile devices to create experiences that go far beyond what's possible on a traditional computer?

Mobile devices are changing the ways that we interact with each other and information in the world. This course will take you from a domain of interest, through generative research, design, usability, implementation and field evaluation of a novel mobile experience. You'll finish the course with a working, field-tested application suitable for release in the app store as well as a deep understanding of human interaction with mobile devices and services.

Based on a popular MIT class that has been taught since 2006 by Frank Bentley of Yahoo Labs and Ed Barrett, a Senior Lecturer at MIT, this course will explore what makes mobile devices unique. A primary focus will be on studying existing behavior and using key findings for design. While writing the code for an app is a part of the class, the majority of the topics will cover designing and evaluating a unique mobile experience. Along the way, you will have opportunities to share your work with other students from around the world! Java experience (or Objective C for iOS users) and a smartphone are required.

All required readings are available within the courseware, courtesy of The MIT Press. A print version of the course textbook, Building Mobile Experiences, is also available for purchase. The MIT Press is offering enrolled students a special 30% discount on books ordered directly through the publisher’s website. To take advantage of this offer, please use promotion code BME30 at The MIT Press site.

Want to create the next big app, grounded in the needs of real users? This course will teach you Human Computer Interaction (HCI) methods to better understand current behavior in a domain, and then design, develop, and deploy your own application.

This module will take you from an application idea through the creation of a paper prototype and a usability evaluation to validate initial usability of your concept. 

Completion of Mobile Application Experiences Part 1 is not required. You can begin this module with an idea you have had on your own.

This course is part of a five-part Mobile Application Experiences series:

• 21W.789.1x: Mobile Application Experiences Part 1: From a Domain to an App Idea
• 21W.789.2x: Mobile Application Experiences Part 2: Mobile App Design
• 21W.789.3x: Mobile Application Experiences Part 3: Building Mobile Apps
• 21W.789.4x: Mobile Application Experiences Part 4: Understanding Use
• 21W.789.5x: Mobile Application Experiences Part 5: Reporting Research Findings

MASLab (Mobile Autonomous System Laboratory), also known as 6.186, is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks.

MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human intervention. Finally, MASLab is one of the few robotics contests in the country to use a vision based robotics problem.

Learn to use the open development tool, App Inventor, to program on Android devices. You will learn how to design and build mobile apps -- apps that are aware of their location, send and receive text messages, and give advice and directions. The only limit on the types of apps you will learn to build is your own imagination!

However, computer science is not just about coding and building apps. We will also learn some of  the fundamental principles of computer science. We'll learn about the potential and the limitations of computing and coding. We'll learn how the Internet works and about the positive and negative aspects of computing in today's society, and much more!

For these broader computing concepts we will work within an emerging curricular framework -- the Computer Science Principles (CSP). The CSP framework is being developed by leading computer science educators from around the country under the auspices of the College Board and with funding support of the National Science Foundation.

In addition to programming and CSP the course is project-based and emphasizes writing, communication, and creativity. Multiple-choice questions, in the style that students can expect to encounter on the AP exam, will also be a key component of this course.

We will use the free and open tool, App Inventor for Android, to explore advanced topics in computer science.

You’ll build an app a week, exploring such advanced topics as gameplay over a network, encryption, and more.

At the end of the course, we’ll collectively decide on an app that we will build together. You will be able to build almost anything you can imagine!

Because computer science is not just about coding and building apps, we will also learn some of the fundamental principles of computer science. We'll explore the potential and the limitations of computing and coding. We'll learn how the Internet works and about the positive and negative aspects of computing in today's society.

For these broader computing concepts we will work within an emerging curricular framework -- the Computer Science Principles (CSP).  The CSP framework is being developed by leading computer science educators from around the country under the auspices of the College Board and with funding support of the National Science Foundation.

In addition to programming and CSP, the course is project-based and emphasizes writing, communication, and creativity. Multiple-choice questions, in the style that students can expect to encounter on the AP exam, will also be a key component of this course.

This course focuses on cost-effective health care solutions using ever-expanding mobile technologies. The addressed themes are: 1) Global Health Challenges. 2) Mobile Health Opportunities. 3) Entrepreneurship in Health Care.

This course focuses on cost-effective health care solutions using ever-expanding mobile technologies. The addressed themes are: 1) Global Health Challenges. 2) Mobile Health Opportunities. 3) Entrepreneurship in Health Care.

By Eric Leroux and Homero Rivas

So you’ve heard mobile is kind of a big deal, and you’re not sure how to transform your traditional desktop-focused web apps into fast, effective mobile experiences. This course is designed to teach web developers what they need to know to create great cross-device mobile web experiences. This course will focus on building mobile web apps, which will work across multiple platforms including Android, iOS, and others.

Modal logic is the logic of necessity and possibility, and by extension of analogously paired notions like validity and consistency, obligation and permission, the known and the not-ruled-out. This a first course in the area. A solid background in first-order logic is essential. Topics to be covered include (some or all of) the main systems of propositional modal logic, Kripkean "possible world" semantics, strict implication, contingent identity, intensional objects, counterpart theory, the logic of actuality, and deontic and / or epistemic logic. The emphasis will be more on technical methods and results than philosophical applications.

This course will teach you how to start from scratch in answering questions about the real world using data. Machine learning happens to be a small part of this process. The model building process involves setting up ways of collecting data, understanding and paying attention to what is important in the data to answer the questions you are asking, finding a statistical, mathematical or a simulation model to gain understanding and make predictions. All of these things are equally important and model building is a crucial skill to acquire in every field of science. The process stays true to the scientific method, making what you learn through your models useful for gaining an understanding of whatever you are investigating as well as make predictions that hold true to test. We will take you on a journey through building various models. This process involves asking questions, gathering and manipulating data, building models, and ultimately testing and evaluating them.

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