Courses tagged with "Nutrition" (6413)

2010 marks the 400th anniversary of Galileo's astonishing sightings of features on the moon, stars, and moons around Jupiter that no one had seen before. Recreate these new ways of seeing and exploring from the materials and techniques Galileo had on hand, while you reflect on the times and works of Galileo. What was it like to improvise new ways of seeing and exploring from the materials and techniques on hand? What do we notice? What surprises us? How can we relate to past experience and ideas? What are we curious to research? How does our experimenting grow into our learning? Let your own curiosity drive your explorations.

2010 marks the 400th anniversary of Galileo's astonishing sightings of features on the moon, stars, and moons around Jupiter that no one had seen before. Recreate these new ways of seeing and exploring from the materials and techniques Galileo had on hand, while you reflect on the times and works of Galileo. What was it like to improvise new ways of seeing and exploring from the materials and techniques on hand? What do we notice? What surprises us? How can we relate to past experience and ideas? What are we curious to research? How does our experimenting grow into our learning? Let your own curiosity drive your explorations.

Le cours porte sur les usages généralement admis en matière de rédaction de contrats commerciaux, dans leur forme continentale ou anglo-saxonne. Les principales clauses de ces contrats sont examinées, à l’aide d’exemples tirés de contrats classiques.

Con este curso podrás conocer qué son y qué proporcionan las redes de difracción sobre fibra en telecomunicaciones y sensores. Podrás entender el funcionamiento de forma intuitiva, e incluso detallada para las redes de difracción más comunes.

El curso requiere conocimientos básicos de propagación de ondas y de tratamiento de señales, así como de mátemáticas, en todos los casos a un nivel equivalente a los primeros cursos de un grado técnico, si bien el curso trata de ser antocontenido y descriptivo sin entrar en desarrollos complejos, de forma que pueda ser aprovechado por el máximo espectro posible de alumnado.

Unidades:

1. Fundamentos de redes de difracción I.
2. Fundamentos de redes de difracción II.
3. Análisis y diseño de redes de difracción en fibra.
4. Aplicaciones en telecomunicaciones.
5. Aplicaciones en sensores.

Effective social media policy protects an organization from risk at the same time as it enables employees to develop more effective ways to accomplish work. Driving the implementation of social media policy is a great way for Human Resources (HR) and business leaders to demonstrate value with executive leadership.

The course is an introduction to the approach of Reflective Practice developed by Donald Schön. It is an approach that enables professionals to understand how they use their knowledge in practical situations and how they can combine practice and learning in a more effective way. Through greater awareness of how they deploy their knowledge in practical situations, professionals can increase their capacities of learning in a more timely way. Understanding how they frame situations and ideas helps professionals to achieve greater flexibility and increase their capacity of conceptual innovation.

The objective of the course is to introduce students to the approach and methods of reflective practice by raising their awareness about their own cognitive resources and how they use them in their practice. The course will introduce theories of learning, knowledge generation, framing and reframing, theories of action, reflection-in-practice, and conceptual innovation, and provide students with opportunities to experiment with these theories in real life through practical exercises in which they reflect on real situations that they have faced in their past professional experience. Through these practical exercises, students will have the opportunity to reflect on their thinking capacities in the context of their practice.

For the last century, precepts of scientific management and administrative rationality have concentrated power in the hands of technical specialists, which in recent decades has contributed to widespread disenfranchisement and discontent among stakeholders in natural resources cases. In this seminar we examine the limitations of scientific management as a model both for governance and for gathering and using information, and describe alternative methods for informing and organizing decision-making processes. We feature cases involving large carnivores in the West (mountain lions and grizzly bears), Northeast coastal fisheries, and adaptive management of the Colorado River. There will be nightly readings and a short written assignment.

This subject is on regional energy-environmental modeling rather than on general energy-environmental policies, but the models should have some policy relevance. We will start with some discussion of green accounting issues; then, we will cover a variety of theoretical and empirical topics related to spatial energy demand and supply, energy forecasts, national and regional energy prices, and environmental implications of regional energy consumption and production. Where feasible, the topics will have a spatial dimension. This is a new seminar, so we expect students to contribute material to the set of readings and topics covered during the semester.

The seminar is designed to provide advanced graduate students with a thorough understanding of selected regional economic theories and techniques and with experience in using alternative socioeconomic impact assessment models and related regional techniques on microcomputers. Discussions will be held on particular theoretical modeling and economic issues; linkages among theories, accounts, and policies; relationships between national and regional economic structures; and methods of adjusting and estimating regional input-output accounts and tables. Examples from the Boston area and other U.S. cities/regions will be used to illustrate points throughout the seminar. We will also examine how such models are used in other countries. New material on analyzing regional development issues will be covered.

The seminar is designed to provide advanced graduate students with a thorough understanding of selected regional economic theories and techniques and with experience in using alternative socioeconomic impact assessment models and related regional techniques on microcomputers. Discussions will be held on particular theoretical modeling and economic issues; linkages among theories, accounts, and policies; relationships between national and regional economic structures; and methods of adjusting and estimating regional input-output accounts and tables. Examples from the Boston area and other U.S. cities/regions will be used to illustrate points throughout the seminar. We will also examine how such models are used in other countries. New material on analyzing regional development issues will be covered.

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit. This is the seventh course in the Johns Hopkins Data Science Specialization.

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

Leading companies look for innovative thinking in new hires and for career advancement. Yet only 1 in 4 of us feels truly creative. Time to reinvent yourself and unleash the creativity lying dormant in all of us.   

Dr. Roberta Ness, featured TED speaker, author, and one of America’s leading creative thinking innovators, will guide you through her exclusive 5-step program to being  an effective innovator. Learn to break free from your usual thinking pattern and start generating creative solutions to life’s challenges. Sharpen your powers of observation, make surprising associations, expand your idea space, and even master  how to think backwards. Hone your creative thinking skills by solving real-world problems from business and science.  

The funding for this course was made possible by the UTHealth Innovation in Cancer Prevention Research Training Program (Cancer Prevention and Research Institute of Texas grant #RP160015). The content is solely the responsibility of the creators and does not necessarily represent the views of the Cancer Prevention Research Institute of Texas.

8.323, Relativistic Quantum Field Theory I, is a one-term self-contained subject in quantum field theory. Concepts and basic techniques are developed through applications in elementary particle physics, and condensed matter physics.

This course is the second course of the quantum field theory trimester sequence beginning with Relativistic Quantum Field Theory I (8.323) and ending with Relativistic Quantum Field Theory III (8.325). It develops in depth some of the topics discussed in 8.323 and introduces some advanced material.

This course is the third and last term of the quantum field theory sequence. Its aim is the proper theoretical discussion of the physics of the standard model. Topics include: quantum chromodynamics; the Higgs phenomenon and a description of the standard model; deep-inelastic scattering and structure functions; basics of lattice gauge theory; operator products and effective theories; detailed structure of the standard model; spontaneously broken gauge theory and its quantization; instantons and theta-vacua; topological defects; introduction to supersymmetry.

This course, which concentrates on special relativity, is normally taken by physics majors in their sophomore year. Topics include Einstein's postulates, the Lorentz transformation, relativistic effects and paradoxes, and applications involving electromagnetism and particle physics. This course also provides a brief introduction to some concepts of general relativity, including the principle of equivalence, the Schwartzschild metric and black holes, and the FRW metric and cosmology.

The study of the night sky instilled wonder in our ancestors. Modern astronomy extends the human view to previously unexplored regions of space and time. In this course, you will gain an understanding of these discoveries through a focus on relativity—Einstein's fascinating and non-intuitive description of the physical world. By studying relativity and astronomy together, you will develop physical insight and quantitative skills, and you’ll regain a profound sense of wonder for the universe we call home.

FAQ

• What topics will the course cover?
  • Section One—Introduction
  • Section Two—3, 2, 1 … Launching the journey into spacetime
  • Section Three—Special relativity: from light to dark
  • Section Four—General relativity: from flat to curved

• Is there a required textbook?

  • No textbook is required. Notes will be posted weekly. A list of supplemental resources, including textbooks, will be provided.​​

• What are the learning outcomes of this course?

  • Explain the meaning and significance of the postulates of special and general relativity.

  • Discuss significant experimental tests of both special and general relativity.

  • Analyze paradoxes in special relativity.

  • Apply appropriate tools for problem solving in special relativity.

  • Describe astrophysical situations where the consequences of relativity qualitatively impact predictions and/or observations.

  • Describe daily situations where relativity makes a difference.

This course is the first course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

Today's global IT infrastructures are distributed systems; from the Internet to the data-centers of cloud computing that fuel the current revolution of global IT services. At the core of these services you find distributed algorithms.

These algorithms run on multiple computers and communicate only by sending and receiving messages. It is crucial for the implemented services to continue to work 24/7 even if some of the computers fail or some of the messages are lost in transit. This is the subject of reliable distributed algorithms in computer science.

ID2203.1x covers models of distributed algorithms based on input/output automata; specifications of fault tolerant abstractions and failure detectors; specific distributed abstractions and fault-tolerant algorithms, including reliable broadcast and causal broadcast; key-value stores and consistency models; single-value consensus and the Paxos algorithm.

To complete the course with a full grade (100%) students are required to answer the graded quizzes provided every week, as well as the programming assignments.

This course is the second course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

In order to ensure that IT infrastructures - a key engine of operations for any organization - operate at full capacity and efficiency, it is vital to understand its core: distributed algorithms. To achieve this, the infrastructure itself must be reliable and resilient. This course continues on the foundations of distributed algorithms, introduced in ID2203.1x, and builds on these concepts at a higher level of complexity to develop the skills needed to build and maintain reliable and efficient distributed systems.

ID2203.2x covers specific advanced abstractions and algorithms including sequence consensus and multi-Paxos; atomic broadcast and replicated state machines. It also covers dynamic reconfiguration of services; the use of physical clocks in distributed systems; the CAP theorem, and weaker consistency models, including eventual consistency and conflict-free replicated data-types.

Students will experiment and develop a variety of distributed algorithms in an interactive, engaging programming environment using the Scala programming language. They will be guided throughout the programming assignments and provided with intuitive examples to help them get started.

To complete the course with a full grade (100%) students are required to answer the graded quizzes provided every week, as well as the programming assignments.