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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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MOOC
This course provides an introduction to the foundational activities related to design thinking: a flexible, yet systematic process to define and solve problems. A common misconception is that design thinking requires artistry, but it is not centered on artistic principles. Design thinking is a strategy and mindset that can be applied to any industry to solve problems.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
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MOOC
When you immerse yourself in the context of the user, you can uncover pain points and find opportunities for improvement or innovation not always evident to your audience. In this course, part of the Design Thinking MicroMasters program, you will learn how to use simple research methodologies including active listening to understand your target audience and uncover their obvious or latent needs. Emphasis will be placed on observation and interviewing as key methods to gain empathy for the user's experience and viewpoint. Equipped with this understanding, you will be prepared to identify and define more accurately the business problem. You will also review case studies and discuss strategies to foster productive client-stakeholder relationships, including user personification, context understanding, and empathy idea mapping (ideas that resonate with your target audience).
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- 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
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
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
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. We'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
- Course related:
- COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Python (Computer program language)
- Resource Type:
- MOOC
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MOOC
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.
- Course related:
- APSS1A07 Introduction to Psychology and APSS111 Introduction to Psychology
- Subjects:
- Psychology
- Keywords:
- Psychology
- Resource Type:
- MOOC
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MOOC
Whether you are a university student trying to make sense of a difficult major course project or struggling to add value during your internship placement; or you are practicing manager struggling to find a resolution to a complex problem, issue or challenge, this course will guide you through a framework designed to help you open up the alternatives. Through this structured framework designed to help you better deal with your unstructured problems, you will learn BETTER, learn FASTER and learn MORE than you are used to. In essence, this short course will help you “HOW” to learn to (un)learn during knowledge transfer.
- Subjects:
- Management
- Keywords:
- Problem solving Dice games
- Resource Type:
- MOOC
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC