Courses tagged with "Nutrition" (6413)

Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory.

This course will explore the process of evaluating investigational vaccines in clinical trials including informed consent, recruitment, enrollment, safety evaluation, and quality data collection.

This course will explore the many problems of the American health care system and discuss the specific ways that the Affordable Care Act will impact access, quality, costs, as well as medical innovation.

Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing.

This course will discuss issues regarding vaccines and vaccine safety: the history, science, benefits, and risks of vaccines, together with the controversies and common questions surrounding vaccines, and an update on newly created vaccines and recent outbreaks of previously controlled diseases.

In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

All of us are affected by macroeconomic forces – they shape the very world we live in. And governments all around the world try to shape those forces in ways that (hopefully) improve the lives of their constituents. In this subject, we will examine the major theories used by macro economists to analyse national economies and the international economy.

For adults with an interest in the study of human behaviour – especially those who have often considered studying psychology but who have yet to begin.

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination. ***Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!***

Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.

Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization concepts and algorithms, including constraint programming, local search, and mixed-integer programming.

We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

The course is the online equivalent of Statistics 2, a 15-week introductory course taken in Berkeley by about 1,000 students each year. Stat2x is divided into three 5-week components. Stat2.1x is the first of the three.

The focus of Stat2.1x is on descriptive statistics. The goal of descriptive statistics is to summarize and present numerical information in a manner that is illuminating and useful. The course will cover graphical as well as numerical summaries of data, starting with a single variable and progressing to the relation between two variables. Methods will be illustrated with data from a variety of areas in the sciences and humanities.

There will be no mindless memorization of formulas and methods. Throughout Stat2.1x, the emphasis will be on understanding the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

FAQ

• What is the format of the class?
  • Instruction will be consist of brief lectures and exercises to check comprehension. Grades (Pass or Not Pass) will be decided based on a combination of scores on short assignments, quizzes, and a final exam.
• How much does it cost to take the course?
  • Nothing! The course is free.
• Will the text of the lectures be available?
  • Yes. All of our lectures will have transcripts synced to the videos.
• Do I need to watch the lectures live?
  • No. You can watch the lectures at your leisure.
• Can I contact the Instructor or Teaching Assistants?
  • Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.
• Do I need any other materials to take the course?
  • If you have any questions about edX generally, please see the edX FAQ.

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.

PLEASE NOTE that all content and materials in this course are the property of Georgia Tech and Dr. Wayne Whiteman, and are protected by copyright, patent and/or other property intellectual property rights under the United States and foreign laws. The terms and conditions of this course are that individuals may download and use materials in this course for your own personal, non-commercial use. Universities and other entities may not use these materials in an organized, group, or classroom-type setting without obtaining licensing permission from Georgia Tech. You may contact Dr. Wayne Whiteman directly for information regarding the licensing procedures.

This course focuses on the common human resource ("people") challenges faced by existing private businesses when they attempt to grow substantially. PART 1 OF THE GROW TO GREATNESS COURSE IS NOT A PREREQUISITE FOR TAKING THIS COURSE.

This course covers database design and the use of database management systems for applications.

Sounds and music are embedded in almost every aspect of daily life. This course will provide an overview of the fundamental principles of sound and the factors that determine our audio perception. It will also explore techniques of recording, mixing, processing, synthesis, sampling, analysis, and editing of digital audio.

In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own search engine and social network.

Explore how to identify and develop great ideas into great companies. Learn how to identify opportunities based on real customer needs. Take the first steps to creating a successful company.

This interdisciplinary course focuses on sustainable innovation, introducing entrepreneurial students to the realities of problem identification and solution design within the complex world of healthcare.