Courses tagged with "Business" (1739)

What do business luminaries like Amazon, Facebook, Google, and Netflix have in common? They’re digital businesses – meaning that they blur the digital and physical worlds – and their CEOs have built companies from idea to over $10 billion in revenues and kept them growing at an annual rate of at least 20%.

The surprising reality is that while you may never reach their level, you can be a better leader by learning from their success. The key is to understand how they grappled with the basic questions of entrepreneurial strategy and action. How did they:

• Decide what problem to solve?
• Create a product that customers were eager to buy?
• Build their teams to capitalize on growth?
• Raise capital?
• Win market share?
• Sustain growth?

In this business and management course, you will learn from these maestros how to pick entrepreneurial ideas with the greatest potential; use prototypes to match your product to unrelieved customer pain; identify, attract, and motivate the talent your company needs to grow; raise capital while maintaining control of your company’s future; win market share by delivering customers a quantum value leap; and build disciplined growth trajectories.

This course will combine the principles of Entrepreneurial Thought & Action ® with the ideas developed in the instructor’s books Hungry Start-Up Strategy (2012) and Disciplined Growth Strategies (2017). It will inspire you with in-depth case studies of how Amazon CEO Jeff Bezos built its most profitable business by selling companies access to the computer infrastructure that powers its e-commerce business; how Facebook boosted 37-fold its April 2012 $1 billion investment in Instagram; how Netflix CEO Reed Hastings wiped out Blockbuster Video through its DVD-by-Mail service and in 2007 moved to replace that service with online streaming when Apple launched the iPhone.

Who should take this course

Aspiring CEOs should take this class so they can beat the long odds against entrepreneurial success by understanding how the world’s top leaders keep their companies growing. Those who work for big companies can use these insights to accelerate their growth while defending themselves against digital business leaders seeking to win their customers. ;

This course is part of the Business Principles and Entrepreneurial Thought XSeries.

Want to be the leader with the winning business strategy for the digital future?

Ambitious digital-driven startups are creating and cornering new markets in every sector. And yet, most legacy businesses continue to operate by old playbooks. Most are not keeping pace with the changes in their industry, let alone leading the way―what are you and your company doing? 

In this course, part of the Digital Leadership MicroMasters program, you will understand the three types of players that are shaping the new business landscape; the three phases of transformation that every firm will encounter on its journey to business reinvention; and the three winning moves that will ensure your business success along the way. 

With current case studies and practical experience-based advice, learn how to rethink traditional business models from the outside in, assemble the right team for the journey ahead, and make bold strategic choices along the three phases of digital transformation.

Taught by a professor with expertise at the intersection of business and digital strategies, this course will equip managers to step up to play important roles during the digital transformation processes within companies. Chances are that the company where you work now is engaging in some digital transformation activities and this course will provide you with skills and perspectives to play pivotal roles and guide your company. 

Globally, higher education institutions are grappling with the effects of an increasingly digital world. This course provides an overview of how digitization impacts the economics, administration, academics, and research practices of universities and colleges. Higher education administrators, faculty, staff, and students will benefit from this course by exploring the emerging structure and role of higher education.

Participants will engage with key trends that are shaping higher education and learn how these trends are amplified by the growing digital structure of society. In order to prepare their institution to become digital, learners will go through processes of evaluating trends, determining impact on education practices, and finally produce a strategic department or organizational planning document.

Ever wondered what it would be like to live in the world of dinosaurs? Yes? Well here’s your chance!

Using the Late Cretaceous fossil site of Erlian, China as an example, we bring you to the Gobi desert, as well as leading international museums and institutions to find out how we reconstruct dinosaur ecosystems.

This biology and life science course will focus on the knowledge we can gain from studying animals and plants. You will learn about a dinosaur’s biology including their appearance, classification and diet. We will take a close look at the mostly meat eating theropod dinosaurs, as well as the main plant eating dinosaurs, the sauropodomorphs and ornithischians. At the end of the course, you will learn how palaeontologists use fossil and modern evidence to reconstruct dinosaurs and their ecosystems.

The course is brought to life with the help of award-winning palaeoartist Julius T. Csotonyi and is led by HKU’s vertebrate palaeontologist Dr Michael Pittman in collaboration with his esteemed colleague Professor Xu Xing of the Institute of Vertebrate Paleontology and Paleoanthropology, Beijing. A range of guests from around the World will also share their expertise during the course.

想体验一下活在恐龙世界里是怎样吗? 

参加我们的免费网上学习课程，感受与恐龙同行的震撼! 以中国二连浩特白垩纪晚期的化石地层作为一个例子,我们将带您来到戈壁沙漠、著名国际博物馆及研究所去探究我们如何重建恐龙的生态系统。 此生物及生命科学课程着重于研究动物和植物。您将会认到识恐龙生物学，包括恐龙的外观、分类和食物。我们将关注近乎全肉食性的兽脚类恐龙，以及主要的草食性恐龙、蜥脚形亚目和鸟臀目恐龙。在本课程的末段,您将会了解到古生物学家如何运用化石和现代的证据来重建恐龙和它们的生态系统。 本课程有赖屡获殊荣的古生物复原画家Julius T. Csotonyi的帮助才得以面世,并由香港大学古脊椎动物学家文嘉棋博士及北京古脊椎动物与古人类研究所徐星教授共同领导。世界各地不同领域的专家也将在本课程中分享他们的专业知识。

想體驗一下活在恐龍世界裡是怎樣嗎? 

參加我們的免費網上學習課程，感受與恐龍同行的震撼! 以中國二連浩特白堊紀晚期的化石地層作為一個例子, 我們將帶您來到戈壁沙漠、著名國際博物館及研究所去探究我們如何重建恐龍的生態系統。此生物及生命科學課程著重於研究動物和植物。您將會認到識恐龍生物學，包括恐龍的外觀、分類和食物。我們將關注近乎全肉食性的獸腳類恐龍，以及主要的草食性恐龍、蜥腳形亞目和鳥臀目恐龍。在本課程的末段, 您將會了解到古生物學家如何運用化石和現代的證據來重建恐龍和牠們的生態系統。本課程有賴屢獲殊榮的古生物復原畫家Julius T. Csotonyi的幫助才得以面世,並由香港大學古脊椎動物學家文嘉棋博士及北京古脊椎動物與古人類研究所徐星教授共同領導。世界各地不同領域的專家也將在本課程中分享他們的專業知識。

The world’s greatest orchestras have the incredible ability to sound so unified they feel like one single instrument. Listening to the music of an orchestra can feel invigorating, exciting, and life-affirming all at the same time. But how do you learn to hear and appreciate the nuances of each instrument? How have the instruments that make up an orchestra evolved and improved over time?

Dr. L Michael Griffel, Chair of Juilliard’s Music History Department, takes you on a journey into the orchestra and introduces you to the history of its principal instruments.

You will learn about each instrument, from violin to timpani, and will gain the ability to recognize their individual sounds and textures when listening to any orchestral music.

Through four modules you will discover the four families of instruments: strings, woodwinds, brass, and percussion, giving you confidence to further discover the music of the orchestra. No prior musical experience necessary.

In this interactive pre-Calculus course, you will deepen and extend your knowledge of functions, graphs, and equations from high school algebra and geometry courses so you can successfully work with the concepts in a rigorous university-level calculus course. This course is designed to engage learners in the “doing” of mathematics, emphasizing conceptual understanding of mathematical definitions and student development of logical arguments in support of solutions. The course places major emphasis on why the mathematics topics covered work within the discipline, as opposed to simply the mechanics of the mathematics.

Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?

Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).

Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.

Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.

Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?

Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).

Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.

Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.

6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications. The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals. The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of DT filters. Parametric signal modeling and the efficient implementation of DT multirate and sampling rate conversion systems are discussed and developed. An in-depth development of the DFT and its computation as well as its use for spectral analysis and for filtering is presented. This component of the course includes a careful and insightful development of the relationship between the time-dependent Fourier transform and the use of filter banks for both spectral analysis and signal coding.

6.341x is organized around eleven units each typically consisting of a set of two to four topics. The source material for learning each topic includes suggested reading in the course text, clarifying notes, other related reading, and video excerpts and will include an interactive on-line discussion forum. The course text is the widely used text by Oppenheim and Schafer (third edition). The video segments are adapted from live video recordings of the MIT residential course. 

Each topic includes a set of automatically-graded exercises for self-assessment and to help in digesting and understanding the basics of the topic, and in some cases to preview topics. A typical unit in the course concludes with a set of more extensive problems to help in integrating the topics and developing a deeper understanding. Automatic grading of your answers to these problems as well as solutions will be provided.

6.341x and this freely-available version were developed through the support and encouragement of the MIT Department of Electrical Engineering and Computer Science, the MIT Office of Digital Learning, and the MIT Research Laboratory of Electronics.

This course can be cited as: Alan V. Oppenheim and Thomas A. Baran, 6.341x Discrete-Time Signal Processing, on edX, Summer 2016. https://www.edx.org/course/discrete-time-signal-processing-mitx-6-341x-1

Hoy en día prácticamente cualquiera con algo de responsabilidad en una organización tiene que hacer en algún momento una presentación eficaz con la que comunicar sus ideas o los resultados de su trabajo. Con este curso introductorio aprenderás las bases para hacer una presentación eficaz que llegue a tu público, conocerás qué imágenes y otros recursos de Internet podrás usar para ello sin infringir ninguna propiedad intelectual y aprenderás a utilizar las funciones básicas del programa Microsoft Powerpoint para realizar esta presentación

Unidades 

• Diseñando presentaciones eficaces
• Introducción a Powerpoint
• Añadiendo contenido a nuestra presentación​

En este curso aprenderás a diseñar, fabricar y programar tu propio robot (DYOR: Do Your Own Robot) con Arduino. Es una metodología que llevamos años implementando en asignaturas de robótica de la Universitat Politènica de València. Está principalmente enfocado a educadores en áreas de Tecnología e Informática, pero también para personas que quieren iniciarse en el mundo Maker.

El objetivo final del curso es disfrutéis aprendiendo en todo el proceso de diseño, fabricación y montaje del robot con actividades diversas, variadas y multidisciplinares. Por ello hemos preparado todos los contenidos necesarios que os permitirán fabricar un robot divertido, personalizable y de bajo coste partiendo desde cero y que vosotros podréis adaptar a vuestras necesidades. De forma orientativa, el coste de los materiales para fabricar el robot está en torno a los 65€, que correrán a cargo del alumno y que podrás comprar libremente donde más te interese.

El curso es idóneo para personas que quieran iniciarse en el mundo de la electrónica, fabricación digital y la robótica. Aprenderás a utilizar herramientas CAD (TinkerCAD), diseño electrónico (Fritzing) y programación por bloques de Arduino (Facilino) y apps Android (App Inventor2).

En el curso os explicamos divertidas actividades que podréis realizar con vuestros robots como generar emociones, reproducir melodías, controlar movimientos básicos, abrir/cerrar pinzas, seguir líneas, evitar obstáculos o controlar el robot remotamente desde un dispositivo móvil.

El curso está diseñado para sacar al estudiante de la fase romántica y teórica, despertándole acerca de la importancia de tomar iniciativas, riesgos y emprender acciones valientes que le permitan tomar ventaja de las diferentes situaciones que se presentan en su qué hacer. Presenta una serie de contenidos y consejos que lo convierten en una herramienta contundente para conseguir el éxito personal y/o en los negocios, permite reconocer los obstáculos, facilita decidir y actuar.

La estrategia se convierte en el elemento crucial que permite a personas, empresas, instituciones y países tomar ventaja de las situaciones que enfrenta, de los recursos con los que cuenta y para eso, el curso consigue el entendimiento preciso de la situación, la concepción original de la forma en que puede tomar la ventaja sobre competidores o adversarios y cómo generar el crecimiento sostenido a lo largo del tiempo, fortalece el liderazgo haciendo énfasis en el desarrollo del estratega, quien piensa y actúa en cualquier momento como tal, para quien su objetivo además de ser efectivo es triunfar en cada batalla librada a lo largo de su vida o en la empresa.

Permite analizar la forma en que toma decisiones y entiende sus limitantes, consigue que la visión sea de largo plazo y que se considere el tiempo y los recursos en general como escasos para orientarse siempre a su optimización, para ello, los modelos de estudio consideran siempre el asunto de la inversión y establece las diferencias que genera la orientación de la misma y su alineación con la estrategia primaria del negocio o del individuo, busca siempre la competitividad en su sentido más completo. Se trabaja sobre la originalidad y creatividad necesaria para conseguir que el factor sorpresa se consiga y genere ventaja. Partiendo del principio de que la estrategia se establece para el peor de los escenarios, todo el curso está basado en la realidad, en la que existe competencia y terrenos dificultosos para poder lograr los objetivos.

El curso “Diseño y desarrollo de recursos multimedia para la enseñanza virtual” está enfocado para que identifiques las principales características, utilidades y ventajas de los diferentes tipos de recursos multimedia que puedes construir para complementar o generar conocimiento; utilizarás tu creatividad al máximo al desarrollar presentaciones, actividades interactivas y videos educativos los cuales podrás integrar de forma eficiente a tus procesos de formación o bien como recurso de apoyo en tus clases presenciales.

El contenido se desarrolla en una serie de temas entrelazados y dosificados en 6 lecciones, en las que aprenderás de forma práctica y dinámica las diferentes metodologías, herramientas y técnicas de diseño para la elaboración de recursos educativos multimedia, poniendo en práctica las competencias digitales adquiridas construyendo recursos innovadores usando herramientas líderes en la industria de la producción multimedia como Articulate Storyline, Adobe Captivate, Camtasia, Adobe Spark entre otras.

Este curso forma parte del programa de MicroMasters “e-Learning: crea actividades y contenidos para la enseñanza virtual” diseñada con el propósito de desarrollar en los participantes  las habilidades y competencias necesarias para la implementación de entornos de aprendizaje innovadores apoyados por las TIC's. Al inscribirte en este programa de MicroMasters te daremos acceso a un área de descarga especial, en la cual encontrarás plantillas (predefinidas) de las principales herramientas presentadas en los cursos, guías de mejores prácticas y vídeos complementarios con entrevistas de reconocidos expertos a nivel internacional, que comparten su experiencia y conocimiento en el campo de la educación apoyada por tecnología, el diseño y producción de recursos multimedia.

Se conocerán los distintos sistemas de georreferenciación/navegación aplicados a dispositivos móviles, la estructura de los Sistemas de Información Geográfica (SIG) y su aplicabilidad a la gestión del territorio y se describirán los sistemas de comunicación existentes (GPRS/UMTS, internet), con el objeto de analizar las aplicaciones a la ingeniería y la gestión del territorio que proporciona la integración de estos tres sistemas en los dispositivos móviles.

Asimismo, se describirán los principales software de navegación y gestión de la información (SIG) existentes en el mercado para dispositivos móviles, incluyendo prácticas con algunos de ellos. Por último, se realizara una valoración de las distintas aplicaciones que pueden proporcionar los dispositivos móviles para la gestión del territorio, para la ingeniería, geografía, geología, ciencias medio ambientales…

This engineering course presents a deep-dive into the Smart Grid dimensions of Distributed Energy and Electric Energy Storage, collectively termed Distributed Energy Resources or DERs.

You will learn about the various types of DERs and their characteristics, as well as various storage technologies, their level of maturity, and their application along the electric value chain.

We will present an analysis of the energy market size and global revenue forecast. You will learn through real world case studies to help you better understand the mechanism of integrating DERs to the grid using power electronics. We will also discuss Renewable Portfolio Standards (RPS) mandates and explain how DERs factor into them.

Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs), valid toward continuing education requirements for many professional certifications.

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. In the age of ‘big data’, with datasets rapidly growing in size and complexity and cloud computing becoming more pervasive, machine learning techniques are fast becoming a core component of large-scale data processing pipelines.

This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. You will gain hands-on experience applying these principles using Spark, a cluster computing system well-suited for large-scale machine learning tasks, and its packages spark.ml and spark.mllib. You will implement distributed algorithms for fundamental statistical models (linear regression, logistic regression, principal component analysis) while tackling key problems from domains such as online advertising and cognitive neuroscience.

In this social sciences course, you will develop a framework for:

• Engaging diversity and differences in social work practice.
• Advancing human rights and social and economic justice.

We will explore the knowledge base that underlies skills needed to work towards justice. You will learn about types and sources of power, multiple social locations, social constructions, social processes, social identities, conflicts, and how all these interact.

You will develop skills in critical contextual thinking and analyses, and in praxis, learn to use knowledge and theory to recognize and critique underlying assumptions and paradigms and inform working for change.

You will learn how multiple kinds of boundaries are especially important—across groups, between organizations and system levels, and within and between people, related to intersecting social locations.

You will actively explore how societal power and diversity characterize and shape the human experience, and are critical to the formation of social structures, cultural understandings, group and organizational processes, and identities. You will learn how the dimensions of diversity are understood as the intersectionality of multiple factors including: age, class, color, culture, disability, ethnicity, gender, gender identity and expression, immigration status, political ideology, race, religion, sex, and sexual orientation.

You will learn how current experiences of privilege and oppression are shaped by historical forces, societal structures, social constructions, groups, interpersonal processes and human understandings. This includes an understanding of the institutional, organizational, policy, and socio-cultural arrangements that contribute to privilege and oppression. Additionally, this course will explore formulations of human rights, including positive rights, and negative conditions that need to be eradicated.

You will also study how social justice and injustice occur in organizations, institutions, and society, relevant theories that can inform work for justice (e.g., critical race theory, and components of many theories), and how mechanisms of oppression and privilege work (e.g., marginalization, exploitation, violence, cultural hegemony, and powerlessness).

This course is part of the Social Work: Practice, Policy and Research MicroMasters Program offered by MichiganX.

In this chemistry course, you will learn about “Life in the Universe." We will explore DNA as genetic material and atoms as the building blocks of life. We will discuss the discovery and key features of the double helical structure of DNA and the chemical principles behind the sugar-phosphate backbone and hydrogen bonding in the base pairs will be emphasized. We will also discuss identification DNA as genetic material.

At the end of the course, you will learn how and why atoms are bonded to make molecules such as DNA and the discovery of argon will be used to explain the valency and reactivity of different elements based on the periodic table.

To help learners better understand the material, we will be referencing Nobel lectures and scientific papers such as:

• Watson and Crick’s 1953 paper in Nature
• Rayleigh’s 1904 Nobel Lecture on the discovery of argon
• The 1944 paper in J. Experimental Medicine by Avery, MacLeod, and McCarty
• Perrin’s 1928 Nobel Lecture

Gene sequences and the rest of the genome play an important role in determining how an organism functions normally and reacts when situations change. DNA sequences can also be used to determine relationships between organisms and form the underpinnings of the Tree of Life.

Since DNA sequences play such an important role in any organism it should not be surprising that any changes to a sequence could lead to alterations in behavior or response. For example, a small number of specific changes in DNA sequence have been shown to lead to tumor development in mammals or the production of enzymes with altered properties.

One of the jobs of a bioinformatician is to help determine where these changes are in a DNA sequence and sort out in that context what effects may result, which is usually done by aligning the sequences in question.

In this course, part of the Bioinformatics MicroMasters program, you will learn about the theory and algorithms behind DNA alignments, practice doing alignments manually, and then perform more complicated alignments using web and software based approaches.

DNA: Biology’s Genetic Code explores DNA structure, packaging, replication, and manipulation.

DNA encodes our genetic information and is passed on within cells to maintain living organisms and produce the next generation. In this biology course you will learn how the recognition of DNA as the genetic material and the ensuing identification of its structure and coding mechanism was both a revolutionary and foundational discovery. These discoveries led to transformational integration across the biological sciences with a common understanding of this fundamental unit of life!

The course utilizes video lectures, research articles, case studies, and molecular models to convey information. The course grade will be based on questions with each video lecture, quizzes, homework, and a final exam.