Courses tagged with "Nutrition" (6413)

By Chris Spetzler

Foundations and philosophical applications of Bayesian decision theory, game theory and theory of collective choice. Why should degrees of belief be probabilities? Is it always rational to maximize expected utility? If so, why and what is its utility? What is a solution to a game? What does a game-theoretic solution concept such as Nash equilibrium say about how rational players will, or should, act in a game? How are the values and the actions of groups, institutions and societies related to the values and actions of the individuals that constitute them?

Comment les humains s’organisent-ils en sociétés ? Qu’appelle-t-on « familles » et comment se constituent-elles ? Quel regard et quels types d’analyse l’anthropologie propose-t-elle sur les systèmes de parenté, symboliques, politiques, religieux ?

L’anthropologie prospective nous aide à comprendre et à anticiper les phénomènes qui transforment nos modes de vie contemporains. Elle pose un regard transversal sur les actions, les pratiques et les dires des personnes avec lesquelles travaillent les chercheurs.

« Entrer en anthropologie », c’est accepter de changer son regard sur le monde et de se décentrer par rapport à ses habitudes. Si vous désirez comprendre un peu mieux le monde et ses changements contemporains, suivez ces chercheurs sur leur terrain et expérimentez d’autres repères culturels.

Durant ces quelques heures, vous serez amenés à débattre avec des professeurs et des étudiants autour de questions sur la famille, les migrations, les mondes virtuels ou encore les mondes des invisibles. Vous apprendrez les bases de l'approche anthropologique et ce qu'elle peut vous apporter en termes de réflexion sur votre propre société, sur votre vie et votre quotidienneté. Ce cours vous donne l’opportunité de comparer vos expériences et d’échanger vos points de vue avec des personnes d’autres horizons.

Les six semaines de cours aborderont une série de thématiques illustrées par des exemples concrets de modes d’existence divers et disséminés sur le globe. Des enseignants plongés au cœur des pratiques sociales et des enjeux politiques et économiques les plus variés partageront avec vous leur expérience après des années d'immersion sur les terrains de recherche qui les passionnent.

Si vous êtes curieux de tout et que comprendre votre propre société mais aussi des sociétés méconnues vous intéresse, ce cours s'adresse à vous !

How do human beings organize themselves in societies? What do we call “families” and how do they form? What type of analysis does anthropology propose about parenthood, and symbolic, political and religious systems?

Prospective anthropology helps us to understand and anticipate phenomena that transform our ways of life today. It gives a cross-cutting look at the actions, practices, and words of those people with whom anthropological researchers work.

To understand anthropology is to accept changing your view of the world, and to shift your perpsective of your own habits. If you want to understand the world and its contemporary changes more deeply, follow these researchers in their field, and experiment with other cultural references.

In this course, you will debate with professors and students about family, migrations, virtual worlds, and the world of « invisibles. » You will learn the basis of the anthropological approach and what it can bring you as a reflection tool about your own society and your everyday life. This course gives you the opportunity to compare your experiences and to exchange points of view with people from all around the world.

Professors immersed in the heart of various social practices, political and economic issues will share their experiences with you after years of research in fields that they are passionate about.

If you are curious about everything, and if you are interested in understanding your own society but also unknown societies, this course is for you!

Le politique nous concerne tous : chaque jour, des décisions publiques sont adoptées qui impactent notre quotidien. Dans quel contexte ces décisions sont-elles adoptées ? Au 21ème siècle, de nombreux paradoxes brouillent la vision que nous pouvons en avoir. Qu’est-ce que le pouvoir dans la société actuelle ? Quels acteurs en détiennent ? L’État demeure-t-il un acteur politique majeur s’il est concurrencé par des organisations internationales et régionales ? Comment la démocratie prônée par la communauté internationale se différencie-t-elle des régimes autoritaires voire totalitaires ? Quelle est la place des idéologies dans le monde actuel ? Le cours vise à comprendre et à expliquer des phénomènes politiques à partir d’une posture d’analyse critique.

Politics impact all of us: everyday political decisions impact many areas of our lives. In which context are these decisions made? In the 21st century, many paradoxes blur our vision of these decisions. What is power in a multi-level society? Does the state remain the main political actor, if it is in competition with international and regional organizations? Can democracy – pushed forward by the international community – coexist with authoritarian, or even totalitarian, regimes? What is the role of ideologies in contemporary politics? The course aims at understanding and explaining political phenomena from a critical standpoint. 

Vous allez découvrir les mécanismes à l’œuvre derrière les grandes décisions qui relèvent du marketing opérationnel :

• la conception d’un produit
• la fixation du prix auquel celui-ci sera vendu
• la sélection des canaux de distribution pour la vente
• le choix des moyens de communication par lesquels l’entreprise va informer ses clients.

Ces décisions s’appuient bien sûr sur des analyses mobilisant des concepts importants que nous vous présenterons. Tout au long du MOOC, vous aurez l’occasion d’appliquer la théorie à une étude de cas réel qui vous placera dans la peau d’un décideur marketing. Vous bénéficierez aussi d’interviews d’experts et d’échanges privilégiés et interactifs avec les professeurs lors de conférences en direct.

Tous les jours, consommez-vous des biens ou des services ? Ce MOOC vous permettra de saisir la logique du marketing et de devenir un consommateur plus responsable.

Etes-vous un praticien non encore averti en marketing ? Ce MOOC vous permettra de comprendre le pourquoi des décisions du marketing opérationnel et de les mettre en œuvre dans un cas concret.

Etes-vous étudiant et curieux ? Ce MOOC vous permettra de vous familiariser avec les pratiques du marketing, dans les secteurs marchands et non marchands.

Etes-vous un étudiant en gestion ? Ce MOOC vous offrira un complément aux cours de stratégie et de marketing stratégique. Il vous permettra d’opérationnaliser les décisions dans quatre composantes classiques à savoir le produit, la distribution, le prix et la communication (les « 4 P »).

Que vous soyez consommateur, praticien ou étudiant, ce MOOC vous offrira un regard éclairé sur l’éthique du marketing.

Avec le partenariat des éditions Dunod pour l'ouvrage Lambin, J.-J., & de Moerloose, C. (2012). Marketing stratégique et opérationnel. Du marketing à l'orientation-marché (8ème édition).

This class will provide you with an overview of the various dimensions of operational marketing (marketing decisions). These decisions concern product development, setting of a price for this product, selecting one or several distribution channels and finally communication tools in order to promote this product. Of course, these decisions rest on conceptual concepts that we will also present. You will have the opportunity to concretely apply course content through weekly case studies for which you will play the role of a manager. This MOOC provides content through videos, quiz, expert interviews, a forum, discussion (hangouts) and additional readings.

To consumers, this class will offer you an understanding of the logic behind marketing and it will enable you to become a more aware and responsible consumer.

To practitioners with no marketing background, this MOOC will enable you to understand the reasoning behind marketing decisions and to apply this reasoning in real situations.

To students with no business background, this MOOC will help you to become familiar with marketing practices both in commercial and non-profit marketing and to understand and analyze important operational decisions in marketing.

To business students, this MOOC will be complementary to strategy and marketing strategy classes. It will enable you to operationalize decisions using the 4 ‘P’s’: Price, Product, Place and Promotion.

To everybody involved in this MOOC, the ethical issues in Marketing will be highlighted.

Ce cours est enseigné en français. This course is taught in French.

**Machine learning** is one of the fastest-growing and most exciting fields out there, and **deep learning** represents its true bleeding edge. In this course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. ***Note**: This is an intermediate to advanced level course offered as part of the [Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009) program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.*

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience. You will learn how to build and derive insights from these models using Python Jupyter notebooks running on your local Windows or Linux machine, or on a virtual machine running on Azure. Alternatively, you can leverage the Microsoft Azure Notebooks platform for free.

This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. At the same time, you will learn simple yet powerful “motifs” that can be used with lego-like flexibility to build an end-to-end deep learning model. You will learn how to use the Microsoft Cognitive Toolkit — previously known as CNTK — to harness the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.

This education course has been developed for educators and education leaders. It explores deep learning by bringing together the most up-to-date research from cognitive psychology, contemporary educational theories, and neuro-scientific perspectives.

Deep learning encourages students to become creative, connected, and collaborative problem solvers; to gain knowledge and skills for lifelong learning; and to use a range of contemporary digital technologies to enhance their learning.

To facilitate deep learning, teachers will learn how to employ a diverse range of powerful teaching strategies and authentic learning activities to assist students to become independent thinkers, innovative creators, and effective communicators. Throughout each module, suggested learning experiences are provided for school or system leaders who seek to engage with deep learning practices across their organisation. In this way, the course is differentiated to cater to both individual learners and to groups.

This course has been funded by Microsoft and is part of the Microsoft K-12 Education Leadership initiative developed to provide resources to K-12 school leaders around the world as they address the unique needs of their schools in a changing educational and technology landscape.

This course focuses on the institutional relationships that affect the raising, maintenance and use of military forces in the United States. It is about civil/military, government/industry, military/science and military service/military service relations.

The course examines how politicians, defense contractors, and military officers determine the military might of the United States. It analyzes the military strategies of the nation and the bureaucratic strategies of the armed services, contractors, and defense scientists. It offers a combination of military sociology, organizational politics, and the political economy of defense.

When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.

In this computer science course, you will learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse, or SQL DW. You'll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services).  Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

This computer science course from Microsoft provides learners with the knowledge and skills required to design, implement, and load a relational data warehouse. In this four week course, you’ll learn how to analyze business requirements, design dimension and fact tables, index and partition the data for performance, and create ETL solutions for ongoing loading of the warehouse.

This course is taught with short-form lectures, demonstrations, and interviews with industry experts. Quizzes and hands-on labs, using Microsoft SQL Server 2016 and Azure SQL Database, will help to reinforce your knowledge, practice skills, and solve problems.

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

¿Qué son las políticas públicas? Son la plasmación más concreta de la política. Lo que los gobiernos hacen, y dejan de hacer, para hacer frente a los problemas colectivos. Este curso trata sobre cómo se decide qué problemas abordar y qué soluciones adoptar. Un proceso primordialmente político y social que suele escapar al análisis puramente racional.

On a continent once dominated by closed political systems, democratic political institutions have taken root in more than a dozen African countries over the past 20 years. In this course, you’ll learn about this remarkable experiment, and try to better understand both the opportunities and the challenges of democratic governance.

We have interviewed more than 50 African academics, politicians, leaders, and students about how democracy works, and in this course, we provide opportunities to learn from these various African experts.

Each week, MIT Professor Evan Lieberman will introduce key topics in the study of democratic development in Africa, and highlight key ideas and insights from various African colleagues. Students will gain a solid introduction to African political development using analytical tools from the social sciences.

The course is for anyone interested in gaining a better understanding of African politics; learning about relationship between democratic politics and the attainment of improved human development; and/or obtaining an introduction to political science approaches to these topics.

This course examines the functioning of democracy in the U.S. beginning with the theoretical foundations of democratic representation. It explores how the views of the public influence policy making. It also examines factors, such as malapportionment, that lead to non-majoritarian outcomes. Evidence on how well policy outcomes reflect public opinion is reviewed, and whether certain groups are over or under-represented in the policy process. Also discussed are reforms that might make our democracy more responsive to the American public.

Gain an understanding of the political, social, cultural, economic, institutional and international factors that foster and obstruct the development and consolidation of democracy. It is hoped that students in developing or prospective democracies will use the theories, ideas, and lessons in the class to help build or improve democracy in their own countries.

This event is part of Michigan’s Teach-Out Series which provides just-in-time community learning opportunities for participants around the world to come together in conversation with the U-M campus community, including faculty experts.

How does history help us understand today’s political climate?

Political systems in many countries around the world have shifted from more democratic to more authoritarian tendencies. A deeper understanding and knowledge of this past can inform how we understand contemporary political changes.

This Teach-Out will bring together expert knowledge about democracies and the processes that erode democratic decision-making and structures. By examining historical and comparative patterns, learners will gain a better understanding of contemporary politics.​

Guest contributors include:

Sheri Berman (Barnard College, Columbia University)

Juan Cole (University of Michigan)

Fatma Müge Göçek (University of Michigan)

Pauline Jones (University of Michigan)

Robert Kaufman (Rutgers University)

Maria Carmen Lemos (University of Michigan)

Maria Victoria Murillo (Columbia University)

Brian Porter-Szucs (University of Michigan)

Recent years have seen an astonishing spread of democracy to many African, Asian, and Latin American countries. What caused these dramatic political transitions? What challenges do democratizing countries in the Third World face? Will these new democracies endure? We will take up these questions using film, fiction, and popular journalism, as well as scholarly research. We will also focus on a small number of countries (Brazil, India, Mexico, Nigeria, Senegal, Singapore, and Sri Lanka) in order to explore in greater depth some of the most important political challenges faced by developing countries. Although the class focuses on the developing world, many of the lessons should "travel" to democratizing countries in other regions.

This overview course is designed to show new students how to take a course on edx.org. You will learn how to navigate the edX platform and complete your first course! From there, we will help you get started choosing the course that best fits your interests, needs, and dreams.

With the continuous generation of massive amounts of biomedical data on a daily basis, whether from research laboratories or clinical labs, we need to improve our ability to understand and analyze the data in order to take full advantage of its power in scientific discoveries and patient care. For non-bioinformaticians, “handling” big data remains a daunting task. This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos. You will learn how to use publicly available online resources and tools for genomic, transcriptomic, and proteomic data analysis, as well as other analytic tools and online resources. This course is funded by a research grant from the US National Institutes of Health (NIH)-Big Data to Knowledge (BD2K) Initiative.

Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.