Courses tagged with "Nutrition" (6413)

This course provides an introduction to osteopathic medicine designed to inform future osteopathic med students, potential patients, and non-osteopathic medical professionals of the methods and practices in the field.

This course introduces three main types of partial differential equations: diffusion, elliptic, and hyperbolic. It includes mathematical tools, real-world examples and applications.

For anyone who believes in the power of arts and creativity to make changes in people's lives and neighborhoods. Inspiring examples and useful skills for artists and those who work with people in health, educational, social and community settings.

This course is a survey of the profession of pharmacy including its history, evolving scope of practice, ethical foundations, regulation, educational and career opportunities, and more. We will also explore topics relating to medication use and drug development.

This course is a survey of the pharmacy profession and its history, practice, ethics, regulation, career opportunities, and more. Topics relating to medication use and drug development are explored through lectures and interviews with pharmacists.

This course will introduce you to some of the most important areas of research in contemporary philosophy. Each week a different philosopher will talk you through some of the most important questions and issues in their area of expertise.

This course explores the nature of meaning and truth, and their bearing on the use of language in communication. No knowledge of logic or linguistics is presupposed.

This philosophy course has two goals. The first goal is to introduce you to the things that philosophers think about. We will look at some perennial philosophical problems:

• Is there a God?
• What is knowledge, and how do we get it?
• What is the place of our consciousness in the physical world?
• Do we have free will?
• How do we persist over time, as our bodily and psychological traits change?

The second goal is to get you thinking philosophically yourself. This will help you develop your critical reasoning and argumentative skills more generally. Along the way we will draw from late, great classical authors and influential contemporary figures.

To help enhance your learning experience, this course offers instructor grading. If you choose to pursue a verified certificate, a professional philosopher will carefully read, grade and comment upon your work. Though all residential philosophy courses at MIT, and other major universities, offer instructor grading, this is an innovation in the world of MOOCs. Students will test their ideas against, and receive individual advice from, professional philosophers. We believe that this is the best way to learn philosophy.

Verified learners will be eligible for the MITx Philosophy Award and (for students presently in high school) the MITx High School Philosophy Award. The awards will be given for outstanding written work by the MIT Philosophy Department. In addition, award winners will be profiled on the MIT Philosophy website.

NOTE: Enrollment for instructor grading will be capped.

This course serves as an introduction to the current research questions in phonological theory. Topics include metrical and prosodic structure, features and their phonetic basis in speech, acquisition and parsing, phonological domains, morphology, and language change and reconstruction. Activities include problem solving, squibs, and data collection.

This course provides practical instruction in the fundamentals of analog and digital SLR and medium/large format camera operation, film exposure and development, black and white darkroom techniques, digital imaging, and studio lighting.

This semester we will explore the MIT Department of Brain and Cognitive Sciences for our theme- and site-specific term project, which provides opportunities to develop technical skills and experimental photographic techniques, and for personal artistic exploration. Final projects will be presented on site in exhibition format.

Work in progress is continuously presented and discussed in a critical forum. Lectures, readings, visiting professionals, group discussions, and site visits encourage aesthetic appreciation of the medium and a deeper understanding of our semester theme, as well as a critical awareness of how images in our culture are produced and constructed.

Gain a rigorous introduction to physical chemistry suitable for undergraduates starting university. The course provides a unique, in-depth introduction to the three main pillars of physical chemistry: thermodynamics, kinetics and quantum mechanics.

The plasma state dominates the visible universe, and is important in fields as diverse as Astrophysics and Controlled Fusion. Plasma is often referred to as "the fourth state of matter." This course introduces the study of the nature and behavior of plasma. A variety of models to describe plasma behavior are presented.

The plasma state dominates the visible universe, and is important in fields as diverse as Astrophysics and Controlled Fusion. Plasma is often referred to as "the fourth state of matter." This course introduces the study of the nature and behavior of plasma. A variety of models to describe plasma behavior are presented.

This course examines major texts in the history of political thought and the questions they raise about the design of the political and social order. It considers the ways in which thinkers have responded to the particular political problems of their day, and the ways in which they contribute to a broader conversation about human goods and needs, justice, democracy, and the proper relationship of the individual to the state. One aim will be to understand the strengths and weaknesses of various regimes and philosophical approaches in order to gain a critical perspective on our own. Thinkers include Plato, Aristotle, Machiavelli, Hobbes, Locke, Rousseau, Marx, and Tocqueville.

The course is an introduction to switched-mode power converters. It provides a basic knowledge of circuitry for the control and conversion of electrical power with high efficiency.

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem - proof" format, we develop the material in an intuitive -- but still rigorous and mathematically precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

The course covers all of the basic probability concepts, including:

• multiple discrete or continuous random variables, expectations, and conditional distributions
• laws of large numbers
• the main tools of Bayesian inference methods
• an introduction to random processes (Poisson processes and Markov chains)

The contents of this course are essentially the same as those of the corresponding MIT class (Probabilistic Systems Analysis and Applied Probability) -- a course that has been offered and continuously refined over more than 50 years. It is a challenging class, but it will enable you to apply the tools of probability theory to real-world applications or your research.

This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.

The Spring 2014 version of this subject employed the residential MITx system, which enables on-campus subjects to provide MIT students with learning and assessment tools such as online problem sets, lecture videos, reading questions, pre-lecture questions, problem set assistance, tutorial videos, exam review content, and even online exams.

The world is full of uncertainty: accidents, storms, unruly financial markets, and noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

This is Part 1 of a 2-part sequence on the basic tools of probabilistic modeling. Part 1 introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. Part 2 will then continue into further topics that include laws of large numbers, the main tools of Bayesian inference methods, and an introduction to random processes (Poisson processes and Markov chains).

The contents of the two parts of the course are essentially the same as those of the corresponding MIT class, which has been offered and continuously refined over more than 50 years. It is a challenging class, but will enable you to apply the tools of probability theory to real-world applications or your research.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem - proof" format, we develop the material in an intuitive -- but still rigorous and mathematically precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

Photo by User: Pablo Ruiz Múzquiz on Flickr. (CC BY-NC-SA 2.0)

This course provides a complete introduction to programming for digital musicians and artists, in the real-time multimedia language ChucK. Rich with practical examples and pointers to additional web resources, it can be understood by novices wishing to learn to program interactive arts systems.

This course is an introduction to software engineering, using the Java™ programming language. It covers concepts useful to 6.005. Students will learn the fundamentals of Java. The focus is on developing high quality, working software that solves real problems.

The course is designed for students with some programming experience, but if you have none and are motivated you will do fine. Students who have taken 6.005 should not take this course. Each class is composed of one hour of lecture and one hour of assisted lab work.

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.