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MOOC
Interested in exploring the deadliest and most mysterious parts of our universe? Or, investigating black holes, which warp the very fabric of space-time around them? We will look at what we know about these objects, and also at the many unsolved mysteries that surround them. We will also study white-dwarf stars and neutron stars, where the mind-bending laws of quantum mechanics collide with relativity. And, examine dwarf novae, classical novae, supernovae and even hypernovae: the most violent explosions in the cosmos. This course is designed for people who would like to get a deeper understanding of astronomy than that offered by popular science articles and television shows.You will need reasonable high-school level Maths and Physics to get the most out of this course.
- Course related:
- AP1D02 Introduction to Astronomy
- Subjects:
- Environmental Sciences
- Keywords:
- Black holes (Astronomy) Astrophysics Collisions (Astrophysics)
- Resource Type:
- MOOC
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MOOC
Learn why staying true to who you are is Anna’s key piece of interview advice.
- Course related:
- SD5804 Design Research Methods and SD6700 Design Research Seminars
- Keywords:
- Creative ability Wintour Anna -- 1949- Leadership
- Resource Type:
- MOOC
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MOOC
"Being productive is really just about understanding the productivity equation and then figuring out which bits we need to optimise to apply to our own lives". In this first of a series of classes, I want to explore the idea of productivity in more depth - break down the concept into principles and theories as well as laws and powers to provide the foundation to enable us all to understand productivity on a more fundamental level so that we can all work towards living happier, more productive lives. The Productivity Equation The first video introduces the productivity equation that serves as a the underlying theme throughout this course. We'll look at the key components including the extra 'ingredient' that I think is often missing in discussions around productivity and I'll introduce the analogy involving the Pilot, the Plane and the Engineer. Section One - Myths Following the introduction to the productivity equation, in the first section we'll take a look at three of the key myths that often surround discussions about productivity. We'll explore issues around 'not having enough time', not being able to summon up the motivation as well as the prevalent belief in multitasking. Section Two - Laws The second section looks at a triumvirate of key laws associated with productivity. We'll begin by looking at time management linked to Parkinson's law then look at the value in understanding the Pareto Principle before finally exploring how one of the fundamental laws of physics can be usefully applied in the realm of productivity. Section Three - Powers The third section moves into the realm of powers - specifically, how we can use the power of habits as well as how we can powerfully leverage our time spent procrastinating or relaxing so that we can improve our productivity more broadly. The Fun Factor The final video explores the component of the productivity equation which I think is often missing when people discuss productivity and that is the fun factor. We'll explore how enjoyment is fundamental to our productivity and how a change in mindset towards this enjoyment can have a positive effect on our productivity immediately.
- Course related:
- SD5804 Design Research Methods and SD5803 Philosophy of Design
- Keywords:
- Time management Industrial efficiency Industrial productivity Performance
- Resource Type:
- MOOC
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MOOC
Everyone tells stories—that’s how we build community and share ideas. However, we don’t always communicate our story as effectively as we intend to. Communication in the workplace may take the form of business writing, email communications, in-person discussions, non-verbal communication, public speaking, and even telling stories. The Communication Skills Professional Certificate program focuses on effective business communication skills employers value most, from crafting a powerful story to creating impactful presentations and using tools for public speaking. In this program, you will learn about: The elements of effective stories and communication strategies, plus how to use them in the workplace. How to use active listening and understand various communication styles to build rapport. How to tailor your messaging to a defined target audience. How to apply basic elements of the speech communication process. How to craft a clear and impactful speech. How to utilize best practices for presenting quantitative data using images. How to incorporate basics of visual design with effective presentation skills.
- Keywords:
- Listening Business communication Public speaking
- Resource Type:
- MOOC
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MOOC
Why do we study statistics? The field of statistics provides professionals and scientists withconceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately -uncovering the truth in any situation. This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments,and observational study. You'll learn touse ahistogram, a representation of the distribution of numerical data, to easily arrange data. You will learn about basic concepts of statistics, such as average and standard deviation. Methods of using the normal approximation to solve a problem will be covered in this course. Inaddition, we'll discussthe correlation coefficient and the regression method in order to represent the relationship between two variables.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics
- Resource Type:
- MOOC
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MOOC
In this anatomy course, part of the Anatomy Specialization, you will explore the interactive relationships of the cardiovascular, respiratory and urinary systems, and the roles they play in your body.This course is a primer for the cardiovascular, respiratory, and urinary systems in which students learn the pertinent details of the structures and functions through a combination of lectures, videos, labeling activities and quizzes. In this course, you will learn the basic structure and function of the cardiovascular system, the basic structure and function of the respiratory system, and the basic structure and function of the urinary system.
- Course related:
- HSS2011 Human Anatomy
- Subjects:
- Health Sciences
- Keywords:
- Human anatomy Cardiovascular system Digestive organs Respiratory organs
- Resource Type:
- MOOC
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MOOC
Solving the problems and challenges within the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the current system. This course explores the fundamentals of the U.S. healthcare system. It will introduce the principal institutions and participants in healthcare systems, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financing arrangements. We will also discuss the challenges of healthcare cost management, quality of care, and access to care. While the course focuses on the U.S. healthcare system, we will also refer to healthcare systems in other developed countries.The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. In this MOOC, you will learn the major challenges of the U.S.healthcare system, Issues you may encounter in efforts to improve healthcare delivery and the healthcare system, and the key stakeholders are in the U.S. healthcare system.
- Course related:
- HSS1010 Freshman Seminar for Broad Discipline in Health Science
- Subjects:
- Management of Health Care Services
- Keywords:
- Medical care United States
- Resource Type:
- MOOC
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MOOC
Are you a current or future caregiver, or, a nurse or other healthcare professional who wants to learn more about Alzheimer’s disease? Here are the key content areas that will be addressed over 5 modules: Over 5 million Americans and an estimated 24 million people worldwide are living with Alzheimer’s disease (AD). Given the exponential aging of the population, these numbers are expected to increase dramatically over the next few decades; Alzheimer’s disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It is the most common cause of dementia among older adults and has both genetic and environmental factors in its development; AD is characterized by a variety of cognitive symptoms, including short-term memory loss, problems with problem-solving, judgment and recognition. There are also changes in mood and neuropsychiatric symptoms such as depression, hallucinations and paranoia. Behavioral expressions, include irritability, agitation, resistance to care, and wandering. In the later stages, the person is dependent in all activities of daily living and requires total care; There is no known cause, effective treatment or cure, but there are currently two classes of medications approved to enhance cognitive function, as well as, lifestyle-based preventive strategies thought to possibly reduce risk; There are evidence-based therapeutic approaches and communication strategies to enhance interactions and optimally, prevent behavioral expressions; The key principles of care for the hospitalized person with Alzheimer’s disease are examined, including the importance of therapeutic communication strategies to prevent behavioral expressions and other complications such as delirium and falls; Lastly, the essential role of the dementia caregiver is discussed, including potential consequences, stresses and gratifications, as well as the resources available.
- Course related:
- SN402 Gerontological Nursing
- Subjects:
- Nursing
- Keywords:
- Dementia -- Patients -- Care Dementia -- Nursing Alzheimer's disease Dementia
- Resource Type:
- MOOC
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MOOC
This course is credit eligible through Doane University's Open Learning Academy. The Open Learning Academy's 3-4 credit hour courses are designed to provide learners with foundational coursework for undergraduate level programs. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring the credit. Medicine has a very distinct and highly specialized language. It is necessary for any student wishing to pursue a successful career in the medical field to acquire comprehension in this system of communication, including Allied Healthcare professionals. Learners will receive thorough instruction in developing fluency with medical terms. Medical vocabulary will be taught with specific emphasis on root (or stem words), prefixes, suffixes and abbreviations. By the end of this course learners will be expected to have a basic comprehension of medical terms and be able to communicate accurately to their peers in the field. Terms associated with anatomy, physiology, pathology and diagnostic tests of different systems are discussed but no previous knowledge of these topics is necessary.
- Course related:
- SN3490 Nursing Therapeutics I
- Keywords:
- Medicine -- Terminology
- Resource Type:
- MOOC
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MOOC
An introduction to the systematic study of human cognition, emotion, and behavior with an emphasis on the scientific method. Fundamentals of behavior, learning, conditioning, development, cognitive processes, perception, emotion, personality, and psychopathology are among the content areas studied. Particular emphasis is placed on the use of the scientific method for the study of human nature. Students successfully completing the course will demonstrate a general understanding of the knowledge established in these areas, as well as the methods used by psychologists to acquire that knowledge.
- Course related:
- RS2020 Foundation Psychology for Rehabilitation Professionals
- Subjects:
- Health Sciences
- Keywords:
- Psychology
- Resource Type:
- MOOC
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MOOC
In this anatomy course, part of the Anatomy XSeries, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system. The course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system. By the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.
- Course related:
- RS3030 Clinical Neurology & Neuroscience
- Subjects:
- Health Sciences
- Keywords:
- Nervous system Neuroanatomy
- Resource Type:
- MOOC
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MOOC
These free online courses are also known as MOOCs (massive open online courses). MOOCs are short courses that are usually run free of charge by major learning providers to expand your knowledge of a particular academic topic or to help you develop a specific skill. They are free to take part in and are open to everyone regardless of age, education level and location.
- Course related:
- RS2270 Rehabilitation Psychology, RS3410 Enabling Occupation: Musculoskeletal Rehabilitation, and RS3310 A: Clinical Sciences in Psychiatric Conditions
- Subjects:
- Health Sciences, Nursing, and Rehabilitation Sciences
- Keywords:
- Developmental disabilities Psychology Health
- Resource Type:
- MOOC
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MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing
- Keywords:
- Machine learning Data mining Big data
- Resource Type:
- MOOC
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MOOC
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
- Course related:
- COMP4431 Artificial Intelligence
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
Master the building blocks of financial trading and investment over the course of 4 weeks. You will learn to trade with confidence by focusing on both the technical and fundamental aspects of trading/investment with our help and support throughout. You will learn what is required in order to successfully trade stocks, currency and commodity markets.
- Course related:
- AF3316 Investments
- Subjects:
- Finance
- Keywords:
- Securities -- Prices Investments Stocks Investment analysis
- Resource Type:
- MOOC
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MOOC
Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them.
- Subjects:
- Accounting
- Keywords:
- Fraud -- Prevention Forensic accounting Fraud
- Resource Type:
- MOOC
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MOOC
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
- Course related:
- AMA564 Deep Learning
- Subjects:
- Computing
- Keywords:
- Machine learning Neural networks (Computer science) Artificial intelligence
- Resource Type:
- MOOC
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MOOC
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
- Course related:
- EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.
- Course related:
- COMP1011 Programming Fundamentals
- Subjects:
- Computing
- Keywords:
- Computer programming Computer science
- Resource Type:
- MOOC
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MOOC
Based on advice from accomplished professionals in the business, HR and academic field, we have created a course that helps you build a solid foundation to succeed in job interviews and get that ultimate call. This course will change the way you prepare for and perform in job interviews. By the end of this course, you will have learned how to: ☛ achieve interview success in six steps ☛ find out how YOU can be an independent learner and become a life-long learner ☛ stand out from the crowd using four strategies ☛ avoid common mistakes About This Course
- Course related:
- ELC3222 Workplace English for Business Students II, CBS4842 Introduction to Literary Translation, and ELC3221 Workplace English for Business Students I
- Keywords:
- Applications for positions Employment interviewing
- Resource Type:
- MOOC