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"Apnea del sueño: nuevas tecnologías"
"La apnea obstructiva del sueño es un trastorno respiratorio del sueño que por su alta prevalencia en el mundo, se ha convertido en un serio problema de salud pública en diversos países. A esta alta prevalencia, se suma el alto porcentaje de sub-diagnóstico y las consecuencias originadas por la falta de tratamiento y los transtornos generados al momento de dormir, representadas por accidentes de tránsito, accidentes laborales, problemas neurocognitivos, alteraciones metabólicas, enfermedades cardiovasculares y problemas de aprendizaje y de atención en niños. El diagnóstico y tratamiento de la apnea del sueño deben ser abordados por un equipo multidisciplinario donde participan varios especialistas de las áreas de medicina, odontología y otros profesionales de la salud. El objetivo general de este curso en línea es incrementar el conocimiento de los profesionales de la salud en el diagnóstico y tratamiento integral de pacientes con apnea obstructiva del sueño (AOS). Los avances tecnológicos son un aliado para combatir este trastorno respiratorio."
Price: 49.90

"Apnea y Trastornos del Sueño"
"¿Sabe usted qué riesgo representan para su salud los problemas de sueño? En este curso usted aprenderá cómo se manifiestan algunos de los problemas del sueño en niños y adultos, qué consecuencias pueden generar en su salud física y mental, cómo tener una adecuada higiene de sueño, por qué ocurren algunos de estos trastornos y cuáles son algunas de las formas para diagnosticarlos. Teniendo en cuenta que el ser humano pasa casi 8500 días durmiendo, es fundamental y apasionante comprender algunos puntos claves de la evolución del conocimiento acerca del sueño, sus alteraciones, implicaciones e impacto en calidad de vida, economía mundial, algunas herramientas diagnósticas, nuevas investigaciones y muchas cosas más. Es importante aclarar que simplemente se trata de un curso introductorio para generar inquietudes y preguntas en ustedes. Este MOOC fue desarrollado en colaboración con las Doctoras Patricia Hidalgo M. y Patricia Panqueva C. de la Clínica de sueño del HUSI."
Price: 49.00

"Python for Data Science"
"In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek? This course, part of the Data Science MicroMasters program, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. Specifically, you'll learn how to use: python jupyter notebooks pandas numpy matplotlib git and many other tools. You will learn these tools all within the context of solving compelling data science problems. After completing this course, you'll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports. By learning these skills, you'll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings. Last but not least, this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program."
Price: 350.00

"Probability and Statistics in Data Science using Python"
"The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL."
Price: 350.00

"Big Data Analytics Using Spark"
"In data science, data is called ""big"" if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark. In this course, part of the Data Science MicroMasters program, you will learn what the bottlenecks are in massive parallel computation and how to use spark to minimize these bottlenecks. You will learn how to perform supervised an unsupervised machine learning on massive datasets using the Machine Learning Library (MLlib). In this course, as in the other ones in this MicroMasters program, you will gain hands-on experience using PySpark within the Jupyter notebooks environment."
Price: 350.00

"Machine Learning Fundamentals"
"Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents. Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models. All programming examples and assignments will be in Python, using Jupyter notebooks."
Price: 350.00

"Comprendre la respiration"
"Pourquoi respirons-nous ? A quoi servent nos poumons ? Quel est le lien entre l’oxygène et la vie ? Ces questions ouvrent un vaste champ de découvertes et de curiosités pour mieux comprendre la respiration. Ce cours s’adresse à toute personne qui souhaite apprivoiser, s’approprier ou approfondir le fonctionnement de la respiration et des poumons, autrement dit la physiologie respiratoire humaine. Plongés au cœur de l’université et de la pratique hospitalière, durant sept semaines, vous côtoierez professeurs, professionnels de la santé, internes et étudiants de médecine. Vous y apprendrez des notions de niveau universitaire qui ont été sélectionnées et adaptées afin que toute personne intéressée puisse les comprendre et y donner du sens. Ainsi, nous aborderons des thèmes proches du monde qui vous entoure : la respiration lors d’un effort physique, en altitude, le rôle des polluants atmosphériques, l’asthme…. A chaque leçon, un expert abordera des domaines concrets et pratiques : comment apprécier l’oxygénation d’un patient, pourquoi lui administrer de l’oxygène, que signifie hyperventiler…. Ce cours vous fera entrer en profondeur dans un monde où l’atmosphère est faite d’anatomie humaine, de physique des volumes et des pressions, de gaz et de sang, d’oxygène et de CO2, de poumons et de tissus, de tabagisme et de bronchite chronique. Au terme de ce cours, vous serez capablesde expliquer et décrire les principes d’oxygénation, de ventilation, de transport et de consommation d’oxygène, de diffusion de gaz entre l’air et le sang… par des schémas et par des calculs utilisant quelques formules fondamentales, évaluer la quantité et la qualité de l’oxygénation d’un patient, distinguer les situations normales de celles dites pathologiques. Bref, vous aurez, pour votre plaisir et votre motivation, approfondi votre culture générale en acquérant des connaissances élevées."
Price: 50.00

"Marketing Analytics"
"Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives. Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI). In this course, part of the Business Analytics MicroMasters program, discover how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact for: customer relationship management; market segmentation; value creation; communication; monetization. You will learn how to use probabilistic models and optimization tools to model customer demand forecasts, pricing sensitivity, Lifetime Value and how to leverage such data to make optimal decisions on designing new products, marketing segmentation and strategy."
Price: 249.00

"Artificial Intelligence (AI)"
"What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI). This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems. Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression."
Price: 249.00

"Demand and Supply Analytics"
"How do airlines decide when to increase ticket prices? Should a hotel charge less per night for a long stay than a short one? Why do some software companies bundle very different products together? How should a fashion retailer decide when do start discounting clothes? Why do so many discounted rates end in "".99""? How should a company balance the risk of holding too much inventory on hand and the risk of turning away customers? Does it ever make sense for retailers to lie to suppliers about how much they will need to order? Should retailers with multiple locations hold most of their inventory in a central warehouse or at the individual locations? These are only a small sample of the operational and pricing challenges all businesses regularly face. These challenges are often addressed individually and in isolation but, in reality, all of these decisions interact with each other. This class looks at the demand and supply management challenges faced by companies in various industries and provides an introduction to the tools that can be used to address these challenges."
Price: 249.00

"Data, Models and Decisions in Business Analytics"
"In today’s world, managerial decisions are increasingly based on data-driven models and analysis using statistical and optimization methods that have dramatically changed the way businesses operate in most domains including service operations, marketing, transportation, and finance. The main objectives of this course are the following: Introduce fundamental techniques towards a principled approach for data-driven decision-making. Quantitative modeling of dynamic nature of decision problems using historical data, and Learn various approaches for decision-making in the face of uncertainty Topics covered include probability, statistics, regression, stochastic modeling, and linear, nonlinear and discrete optimization. Most of the topics will be presented in the context of practical business applications to illustrate its usefulness in practice."
Price: 249.00

"Analytics in Python"
"Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data. The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data. In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data. This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills."
Price: 249.00

"Animation and CGI Motion"
"How do you create realistic animations? How do you predict the motion of materials? It’s key to the success of animated films to ensure (was insure) audiences believe in characters. This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation. You will learn the fundamental concepts of physical simulation, including: integration of ordinary differential equations such as those needed to predict the motion of a dress in the wind. formulation of models for physical phenomena such as crumpling sheet metal and flowing water. treatment of discontinuities such as fractures and collisions. simulation of liquids and solids in both Lagrangian and Eulerian coordinates. artistic control of physically-based animations. These concepts will be put into practice in the programming assignments spanning: Discretizing and integrating Newton’s equations of motion Constrained Lagrangian Mechanics Collisions, contact, and friction: detection and response Continuum mechanics Finite elements Rigid body simulation Thin shell and cloth simulation Elastic rod and hair simulation Fluid simulation"
Price: 249.00

"Machine Learning"
"Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies. Major perspectives covered include: probabilistic versus non-probabilistic modeling supervised versus unsupervised learning Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection. Methods include: linear and logistic regression, support vector machines, tree classifiers, boosting, maximum likelihood and MAP inference, EM algorithm, hidden Markov models, Kalman filters, k-means, Gaussian mixture models, among others. In the first half of the course we will cover supervised learning techniques for regression and classification. In this framework, we possess an output or response that we wish to predict based on a set of inputs. We will discuss several fundamental methods for performing this task and algorithms for their optimization. Our approach will be more practically motivated, meaning we will fully develop a mathematical understanding of the respective algorithms, but we will only briefly touch on abstract learning theory. In the second half of the course we shift to unsupervised learning techniques. In these problems the end goal less clear-cut than predicting an output based on a corresponding input. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling."
Price: 249.00

"Engineering Calculus and Differential Equations"
"How do electrical engineers find out all the currents and voltages in a network of connected components? How do civil engineers calculate the materials necessary to construct a curved dome over a new sports arena? How do space flight engineers launch an exploratory probe? If questions like these pique your interest, this course is for you! Calculus with differential equations is the universal language of engineers. In this course, “Engineering Calculus and Differential Equations,” we will introduce fundamental concepts of single-variable calculus and ordinary differential equations. We'll explore their applications in different engineering fields. In particular, you will learn how to apply mathematical skills to model and solve real engineering problems. This course will enable you to develop a more profound understanding of engineering concepts and enhance your skills in solving engineering problems. In other words, youwill be able to construct relatively simple models of change and deduce their consequences. By studying these, youwill learn how to monitor and even controla given system to do what you want it to do. Techniques widely used in engineering will be illustrated; such as Laplace transform for solving problems in vibrations and signal processing. We have designed animations and interactive visualizations to supplement complex mathematical theories and facilitate understanding of the dynamic nature of topics involving calculus."
Price: 50.00

"Información estratégica de productos para la venta"
"La transmisión de la información entre tus socios de negocio de tu red de valor debe estar demanera clara y sin ambigüedades, ya que permite facilitar el tránsito de los productos y la comunicación entre todos los puntos de la red. Contar con una guía para la medición de los productos es necesario para tener el mismoidioma con los socios de negocio y así contar con la sincronización exacta de la información. Cuando un código de barras es asignado a un producto, es necesario que la descripción de este, cuente con lainformación detallada para que sea posible su trazabilidad y su correcto proceso comercial. Alguno de los datos que se deben incluir son; el nombre de la marca, el peso neto del producto, los materiales de embalaje y las medidas del producto. Tener una guía de calidad de datos, no solamente te ayudará atransmitir adecuadamente la información de un producto a tus socios de negocio, si no que te permitirá tener un lenguaje global y la confianza de tus clientes y tu red de valor. Se debe garantizar la calidad de datos de los productosmediante procesos de certificación, procesos de codificación, y auditorías que se realicen a la matrícula de los productos. En este curso de adiministración conocerás cómo los procesos pueden generar beneficios como: Mejoras en la disponibilidad del producto en góndola impactando positivamente en el servicio ofrecido a los clientes Optimización en las operaciones de manejo de los embalajes que se realizan en los Centros de Distribución de la Cadena y del proveedor Reducción del impacto por situaciones presentadas con la lectura del código de barras en los puestos de pago, con mejoras en la productividad y una mayor agilidad en el servicio"
Price: 25.00

"Decision Making Under Uncertainty: Introduction to Structured Expert Judgment"
"In an increasingly data-driven world, data and its use aren't always all it's cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made. For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas? In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner. Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making. In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke's method, which is arguably the most rigorous method for performing Structured Expert Judgment. CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others."
Price: 50.00

"Introduction to Kabbalah"
"For hundreds of years, Kabbalah has been perceived as a body of secret theoretical and practical knowledge concerning creation, the divine world, and human interaction with it. This course will introduce you to the major ideas and practices of the Kabbalah from an academic point of view. The course will examine basic Kabbalistic themes such as the theory of the Sefirot, ecstatic and prophetic Kabbalistic techniques, reincarnation, demonology, and practical Kabbalah. It will introduce major Kabbalistic works and movements, including the Sefer ha-Zohar, Lurianic Kabbalah, Hasidism, and the contemporary revival of popular Kabbalah. In recent decades, interest in Kabbalah has been increasing and many non-academic Kabbalah centers have been founded throughout the world. Most of the information available online for the layman is non-academic, and at times it can be misleading and confusing. The aim of this course is to introduce students with no background in Kabbalah or Jewish thought to the major ideas and practices of the Kabbalah in their historical and cultural settings. The ideas are presented in an accessible manner without jeopardizing the course's academic rigor. The course approaches Kabbalah from a historical and sociological perspective. Kabbalistic theories and practices will be studied through reading and analyzing primary sources (the Kabbalistic texts themselves) as well as applying the most up-to-date secondary literature (academic research) The course presents a variety of different perspectives on the themes it covers. Through the assignments and discussions that accompany the video lectures, students will be encouraged to express their opinions and individual perspectives, and to contribute to fruitful intellectual discussions."
Price: 49.00

"Computer Science 101"
"CS101 is a self-paced course that teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complicated, but in reality, computers work within just a few, simple patterns. CS101 demystifies and brings those patterns to life, which is useful for anyone using computers today. In CS101, participants play and experiment with short bits of ""computer code"" to bring to life to the power and limitations of computers. Everything works within the browser, so there is no extra software to download or install. CS101 also provides a general background on computers today: what is a computer, what is hardware, what is software, what is the internet. Anyone who has the ability to use a web browser may be successful in this course. No previous computer science experience is required."
Price: 149.00

"Partnering with the Public and Patients in Medical Research"
"There are many benefits to partnering with patients in medical research. Yet despite much to be gained, patients and researchers often fail to meaningfully partner to advance medical science. How might we create trusting relationships between patients and researchers? What models might exist to enable inclusivity and respect of all relevant stakeholders in the medical research enterprise? These are just some of the topics we will cover in this Stanford Online course. Patients can move past the challenges of misunderstood roles and mismatched priorities to make practical contributions. Patient research partnerships are reported as delivering value through every stage of the research process while increasing health self-management and research literacy. Learn how Everyone Included™ partnership in the medical research enterprise can improve the work of researchers and the lives of patients. This course features leading faculty from Stanford University and global medical publishing experts leading efforts in patient partnership in medical research from one of the world's most influential general medical journals, The BMJ."
Price: 50.00

"Statistical Learning"
"This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). This is not a math-heavy class, so we try and describe the methods without heavy reliance on formulas and complex mathematics. We focus on what we consider to be the important elements of modern data analysis. Computing is done in R. There are lectures devoted to R, giving tutorials from the ground up, and progressing with more detailed sessions that implement the techniques in each chapter. The lectures cover all the material in An Introduction to Statistical Learning, with Applications in R by James, Witten, Hastie and Tibshirani (Springer, 2013). The pdf for this book is available for free on the book website."
Price: 50.00

"American Prophet: The Inner Life and Global Vision of Martin Luther King, Jr."
"Martin Luther King, Jr. was a minister turned civil rights activist known throughout the world as an inspirational orator and a passionate advocate of nonviolent civil disobedience. Yet what do we know about the inner workings of the man who inspired so many? How can we learn from his personal documents to better understand his hopes and fears as well as his drive? During this captivating course, Professor Clayborne Carson will walk you through a journey of discovery, following Dr. King’s thoughts and steps through Atlanta, Albany, Selma, and Memphis. Each lesson will explore a few documents from the Martin Luther King, Jr. Papers Project — a comprehensive collection of King’s most significant correspondence, sermons, speeches, published writings, and unpublished manuscripts. You will learn an essential technique of historical analysis: the use of primary source documents as windows into the past. You will also view on-location filming of places Dr. King spent time, bringing to life the stories of his journey with personal commentary from Professor Carson and eyewitness interviews. Follow Dr. King’s extraordinary path from the benches of Ebenezer Baptist Church to the steps of the Lincoln Memorial and become re-inspired by the man, the minister, the leader. Dr. Clayborne Carson, the professor who teaches this course, is offering weekly Zoom calls for students interested in discussing the material further. Calls are every Monday from 12:30-1:30 PST. Students can join by video chat at https://stanford.zoom.us/j/809831146. All are welcome."
Price: 50.00

"Mining Massive Datasets"
"The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course. The book is published by Cambridge Univ. Press, but by arrangement with the publisher, you can download a free copy Here. The material in this on-line course closely matches the content of the Stanford course CS246. The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms."
Price: 149.00

"Algorithms: Design and Analysis, Part 1"
"Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists. Specific topics in the course include: ""Big-oh"" notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), randomized algorithms (QuickSort, contraction algorithm for min cuts), data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of BFS and DFS, connectivity, shortest paths). Learners will practice and master the fundamentals of algorithms through several types of assessments. There are 6 multiple choice quizzes to test your understanding of the most important concepts. There are also 6 programming assignments, where you implement one of the algorithms covered in lecture in a programming language of your choosing. The course concludes with a multiple-choice final. There are no assignment due dates and you can work through the course materials and assignments at your own pace."
Price: 149.00

"Unconventional Reservoir Geomechanics"
"The production of hydrocarbons from extremely low permeability unconventional reservoirs through horizontal drilling and multi-stage hydraulic fracturing has transformed the global energy landscape. Although hundreds of thousands of wells have been drilled and completed, recovery factors remain low in both tight oil (2-10%) and shale gas (15-25%) reservoirs. This course, designed for both geoscientists and engineers, covers topics ranging from the physical properties of reservoir rocks at the nanometer- to centimeter-scale to the state of stress on fractures and faults at the basin-scale. The course follows the textbook Unconventional Reservoir Geomechanics by Mark Zoback and Arjun Kohli, available in print or electronic versions. Unconventional Reservoir Geomechanics, Cambridge University Press 2019 https://www.cambridge.org/core/books/unconventional-reservoir-geomechanics/39665444034A2EF143D749DF48A5E5DC The first part of the course covers topics that become progressively broader in scale, starting with laboratory studies of the microstructural, mechanical, and flow properties of reservoir rocks and concluding with field observations of fractures, faults, and the state of stress in unconventional basins. The second part of the course focuses on the process of stimulating production using horizontal drilling and multi-stage hydraulic fracturing. Important engineering concepts will be reviewed, including microseismic monitoring, production and depletion, well-to-well interactions, and hydraulic fracture propagation. The final part of the course addresses the environmental impacts of unconventional oil and gas development, in particular the occurrence and management of induced seismicity. Two units will be released each week on edX. Each unit will be comprised of 3-5 video modules 10-20 minutes in length. Videos can be accessed at any time before the end of the course. Grading will be based entirely on 6 homework assignments. Homeworks are due on edX at the start of each week at 07:00 UTC (00:00 PST). Students who select the verified enrollment option and earn at least 70% on the homeworks will receive a certificate from edX."
Price: 129.00

"Leadership in a New Era: A Course at Tsinghua SEM by McKinsey |麦肯锡“全球领导力”"
"The course is intended to bring world-class business leaders (e.g., CEOs of globally renowned corporations, senior partners leading McKinsey global practices) into the classroom at Tsinghua SEM to have face-to-face sharing/interaction with students. Conveying deep insights on new trends across some key themes of business functions (e.g., strategy, operations, organization, corporate finance, marketing, technology, and sustainability), and adopting a field-and-forum approach, the course is designed to equip students with new knowledge drawn from leading real business practices, with global perspectives. 全球企业的CXO与咨询行业相应领域的专家一起,通过对战略、运营、组织、财务、市场以及数字化挑战等核心主题的探讨,为同学们提供全球视野下领导力的最佳实践和核心分析框架。 国际商界领袖的一线经验和个人魅力不容错过,课程可以系统地帮助同学们深入理解组织变革、促进创新、危机管理等具体情境下的领导力问题并构建解决问题的核心能力。"
Price: 149.00

"Programming for Everyone – An Introduction to Visual Programming Languages"
"The world around us becomes immersed in technology, which is ultimately driven by programming and governed by its laws. We believe that high-level knowledge of means for programming ‒ past, present, and most importantly, future ‒ is of crucial interest to many. This course is designed to teach almost anyone about the essence of programming, about the diverse types of existing programming paradigms, about how programming has evolved over the years, and, significantly, about what it will entail in the future. In the main part of the course, we will present some visual, diagrammatic programming languages, and some of the more recent playful and intuitive approaches to programming. We hope to help people interested in technology, as well as computer science students, to better understand the various approaches to programming, which are becoming increasingly important in our lives. This course is meant to “Liberate Programming” - to provide more people with the understanding of what programming is and how it works.s"
Price: 49.00

"Environmental Protection and Sustainability"
"Do you want to understand more about the environmental problems we currently face? Do you want to learn ways we can reduce the negative effects of these problems, and keep our environment more sustainable? If so, this course is for you. In this multi-disciplinary course, we will discuss major challenges facing environmental protection efforts. In doing so, we'll bring together various aspects from three themes: Biological, Physical, and Human. The Biological theme focuses on the importance of biodiversity and the actions we can take to conserve basic ecosystem functions. For example: reintroducing locally extinct key species and protecting agroecosystems. Clean air and water resources, as elements of the Physical theme, are crucial to maintaining biodiversity and our basic life-support systems. We will explore methods for minimizing air and water pollution and their negative impacts. The Human theme investigates how human development can be sustainable under the current pressures at local, regional, and global scales. Examples include water reuse, green building, and environmentally friendly technologies. The course is designed and presented by six scientists, each of whom specializes in a different environmental aspect. The course uses video presentations, movies, exercises, assignments, and many additional sources to provide information and enrichment. No previous knowledge on environmental issues is needed. Join us for a diverse and unique course and become a protector of the environment."
Price: 49.00

"Comparative Equality and Anti-Discrimination Law"
"Comparative Equality and Anti-Discrimination Law uses a problem-based approach to examine a global view of anti-discrimination law, comparing US, European, and other national, regional and international legal systems, including those of India, Brazil and South Africa. The course covers five topic modules: employment discrimination and harassment (race, sex, age, disability); marriage equality (race, same-sex); affirmative action (race, caste, origin)/gender parity; hate speech (race, sex, religion); and secularism and the rights of religious minorities."
Price: 75.00

"CS50's Introduction to Artificial Intelligence with Python"
"AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career. CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own. Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work."
Price: 199.00