Courses tagged with "Nutrition" (6413)

As Cloud Computing shapes businesses of all sizes, it is vital to understand the technologies behind cloud infrastructure, both public and private.

In this course, part of the Cloud Computing MicroMasters program, you will learn to evaluate and compare cloud systems, technologies and providers. In doing so, you will build an understanding of the concepts of elasticity and availability through cloud orchestration.

Some industry leading cloud platforms will be covered in this class, including: Amazon Web Services, VMware vSphere, Microsoft Azure, Google Cloud, and OpenStack. You will use the built-in tools and management consoles within those platforms to configure and manage the infrastructure.

The exciting field of Cloud Computing is rapidly changing how businesses operate today. Cloud computing provides rapid access to shared pools of resources, such as: compute, storage, networks, applications, services, or libraries using an on-demand, utility-based model. The characteristics of a cloud computing model include: self-service, network access, resource pools, rapid elasticity, and metered resource usage. As with any large-scale shift, new skills and processes must be learned and implemented to overcome management challenges. Existing business processes, workflows, and policies must be adapted to account for this new technology.

This course, part of the Cloud Computing MicroMasters program, focuses on commonly encountered management issues with the adoption and implementation of cloud computing. Examples include: Cloud migration, Cloud Requests for Proposals, Cloud Service Level Agreements, and other business process compliance issues.

You will examine these issues in depth, then review industry best practices and other case studies to develop the techniques that address and mitigate them. Business processes such as procurement, vendor management, and end-user management are also covered.

How do you protect the critical data that is increasingly being stored in the cloud? Learn how to build a security strategy that keeps data safe and mitigates risk.

In this course, part of the Cloud Computing MicroMasters program, you will be introduced to industry best practices for cloud security and learn how to architect and configure security-related features in a cloud platform. Case studies and government standard documents will be reviewed to help ensure appropriate levels of security are implemented.

You’ll develop the necessary skills to identify possible security issues in the cloud environment. You will also gain experience with tools and techniques that monitor the environment and help prevent security breaches such as monitoring logs and implementing appropriate security policies.

The network is what makes the cloud. The cloud’s key capabilities—the ability to share infrastructure, the ability to move and scale applications across servers, massive parallelism, virtualization, and worldwide connectivity—are all rooted in the network. Learn how it all works!

Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.

Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability.

Citizens can be co-creators of sustainable cities when they engage in city politics or in the design of the urban environment and its technologies and infrastructure. In addition, citizens influence and are influenced by the technologies and systems that they use every day. Sustainability is thus a result of the interplay between technology, policy and people’s daily lives. Understanding this interplay is essential for creating sustainable cities. In this MOOC, we zoom in on Amsterdam, Beijing, Ho Chi Minh City, Nairobi, Kampala and Suzhou as living labs for exploring the dynamics of co-creation for sustainable cities worldwide. We will address topics such as participative democracy and legitimacy, ICTs and big data, infrastructure and technology, and SMART technologies in daily life.

This global scope will be used to illustrate why specific forms of co-creation are preferred in specific urban contexts. Moreover, we will investigate and compare these cities on three themes that have a vast effect on city life: 

• Water and waste
• Energy, air, food and mobility
• Green spaces and food

This MOOC will teach you about the dynamics of co-creation and the key principles of citizens interacting with service providing companies, technology and infrastructure developers, policy makers and researchers. You will gain an understanding of major types of co-creation and their interdependency with their socio-technical and political contexts. You will become equipped to indicate how you can use co-creation to develop innovative technologies, policy arrangements or social practices for a sustainable city in your own community. You will demonstrate this by developing an action plan, research proposal or project idea.

Basic knowledge of sustainability in urban settings, urban environmental technology and urban management is assumed.

This course forms a part of two educational programme of the Amsterdam Institute for Advanced Metropolitan Solutions (AMS) - AMS Vital and Circular city research themes. It is developed by Wageningen UR and TU Delft, two of the founding universities of AMS Institute, and in cooperation with Tsinghua University.

License:
Unless otherwise specified the Course Materials of AMS.URB.2x are Copyright Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

This course is a best practices seminar for teachers analyzing and improving student writing.

Learn and practice strategies for coaching teachers to make meaningful, long-lasting improvements in their instruction.

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

La Codificación de Audio (también conocida como compresión de audio) es una representación digital de las señales de sonido para ser almacenadas o transmitidas por cualquier medio digital. En este proceso se busca siempre ocupar el mínimo número de bits posible para poder transmitirla por canales limitados en velocidad o bien poder almacenar muchos sonidos o música en el menor espacio posible. Todo ello se debe realizar manteniendo una calidad de sonido cada vez más exigente y, en los últimos años, permitiendo sistemas más avanzados que el estéreo que proporcionan sonido espacial. En este curso veremos los estándares más conocidos, como el MP3, así como otros formatos superiores aparecidos en los últimos años.

Unidades:

• Sección 1: Digitalización y compresión de audio, ¿cómo afecta a nuestra percepción?
• Sección 2: Escalas auditivas y tipos de compresión
• Sección 3: Estándares MPEG de compresión de audio
• Sección 4: Codificadores avanzados de audio
• Sección 5: Evaluación de codificadores

Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

This course explores the cognitive and neural processes that support attention, vision, language, motor control, navigation, and memory. It introduces basic neuroanatomy, functional imaging techniques, and behavioral measures of cognition, and discusses methods by which inferences about the brain bases of cognition are made. We consider evidence from patients with neurological diseases (Alzheimer's disease, Parkinson's disease, Huntington's disease, Balint's syndrome, amnesia, and focal lesions from stroke) and from normal human participants.

Cognitive Neuroscience Robotics is an interdisciplinary area for development of new information and robot technology systems based on understanding higher functions of the human brain, with the integration of cognitive science, neuroscience, and robotics.

This course introduces Cognitive Neuroscience Robotics with two approaches: the synthetic and the analytic approach. The synthetic approach means an engineering approach to understand human cognitive functions synthetically, trying to understand human cognitive functions by replicating them as artificial systems and putting them into social environments. Specifically, it develops artificial systems such as robots based on findings in neuroscience and physiology, and investigates how they could acquire intelligent behaviors through interaction with others and the environment.

On the other hand, human cognitive activities are investigated analytically. They are supported by higher functions of the brain and have been examined by psychological experiments or brain imaging. With the analytic approach, psychologists, cognitive scientists, and medical doctors are pursuing an understanding of the mechanism of the mind and its biological basis, with the help of engineering and philosophy.

This program will help students make a basis for interdisciplinary research by providing opportunities to understand what is undertaken in other disciplines and how to collaborate and exchange ideas with people from other disciplines. We expect many motivated students to apply.

This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include the nature of mental representation and processing, the architecture of memory, pattern recognition, attention, imagery and mental codes, concepts and prototypes, reasoning and problem solving.

Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application are linked through discussion of real systems such as the Mars Exploration Rover.

Ders çok değişkenli fonksiyonlardaki ikili dizinin birincisidir. Burada çok değişkenli fonksiyonlardaki temel türev ve entegral kavramlarını geliştirmek ve bu konulardaki problemleri çözmekteki temel yöntemleri sunmaktadır. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır.

Ders çok değişkenli fonksiyonlardaki iki derslik dizinin ikincisidir. Birinci ders türev ve entegral kavramlarını geliştirmekte ve bu konulardaki problemleri temel çözme yöntemlerini sunmaktadır. Bu ders, birinci derste geliştirilen temeller üzerine daha ileri konuları işlemekte ve daha kapsamlı uygulamalar ve çözümlü örnekler sunmaktadır. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır.