Courses tagged with "Multiplying+and+factoring+expressions" (233)

Understanding the clinical terms and abbreviations commonly used in U.S. hospitals is challenging. Adaptation to clinical language is difficult for U.S. students entering the clinical area and even more difficult for international students whose primary language is not English. This course helps both groups of students understand many of the terms and abbreviations commonly encountered during the first three months of clinical work on a U.S. general hospital unit.

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

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

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

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

Interprofessional collaborative practice is key to safe, high quality, accessible, patient-centered care. This course aims to introduce health professions learners to the fundamental principles and skills for effective interprofessional collaborative practice.

How do we breathe? What is the purpose of our lungs? What is the link between oxygen and life ? These questions open a vast field of discovery to help us understand respiration. This course is for anyone who wants to understand human respiratory physiology, the operation of respiration and the lungs.

Immersed in the heart of the university and hospital practice, you’ll learn from professors, health professionals, interns and medical students. Together we’ll discuss topics that are close to the world surrounding us: respiration during exercise, at high altitude, the role of air pollutants, asthma, and other important respiratory issues.

During the course experts will discuss specific and practical topics such as how to comprehend oxygenation of a patient, why and when to administer oxygen, and what hyperventilation means.

This course will also discuss in depth human anatomy, physical volumes and pressures of gasses, blood, oxygen, CO₂, lungs, tissues, smoking and chronic bronchitis.

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

This course introduces participants from the health care sector to gender based violence (GBV), including global epidemiology of GBV, health outcomes, seminal research, policy and ethical guidelines, and clinical best practices for GBV prevention, support and management.

A non-technical introduction to the contemporary application of computing to healthcare delivery, public health and community-based clinical research.

Learn about the wide range of contraceptive methods, and the public health implications related to access to information and choices about reproductive health.

Let’s make history together - again! 让我们再一次创造历史！

This is part one of a 3-course sequence on Curanderismo: Traditional Medicine of Mexico and the Southwest. This course will emphasize healing of the body, through a number of videos. This course will emphasize healing of the body, through a number of videos.

This is part two of a 3-course sequence on Curanderismo: Traditional Medicine of Mexico and the Southwest. This course will emphasize healing of the spirit/energy, through a number of videos.

This is part three of a 3-course sequence on Curanderismo: Traditional Medicine of Mexico and the Southwest.

This online course will provide information on the history, traditions, rituals, herbs and remedies and video demonstrations of Curanderismo, a folk healing tradition of the Southwestern United States, Latin America and Mexico. The course will discuss the effectiveness of traditional medicine in order to meet the needs of many people, especially the uninsured.

Many people talk about the promise of “big data” to health care. But how can the application of data analytics to big data actually improve health and health care? We will show that novel data analytics based solutions can result in better diagnosis, better care and better curing. This provides fertile ground for entrepreneurship and the development of new businesses.

In our course we’ll start from the very basics of data analytics, look at different real world approaches and help you to see entrepreneurial opportunities and develop a business plan.

We will cover three important fields:

• Health care expertise: We will present medical approaches to data and give an overview of challenges where big data based solutions have been developed to improve the efficiency and effectiveness in medicine.
• Data analytics: We’ll explain the basics of data mining within the context of a wide variety of health care settings, and the types of data and data analysis challenges that you will likely encounter in each. We’ll start with gathering the data, move on to classifying, analyzing and finally visualizing it.
• Entrepreneurship: You will learn how to assess when data sciences based improvements in health care represent entrepreneurial opportunities. The development of a rigorous business plan is used to help you make that assessment.

Participants with prior experience in the medical field will learn how novel data science applications can improve healthcare, create societal value and how to spot entrepreneurial opportunities.

Participants with experience in data science or mathematics will learn about medical approaches to data and why healthcare is an exciting area to apply and develop data analytics.

Participants interested in launching their startup will learn how big data solutions in health care can provide a solid basis to build great ventures.

Whatever your motivation to enrol in this course, we care about your project and your success - that’s why we will guide you through all parts of this learning journey step by step!

Enter now to see how you can engage in data driven innovation and make an impact on improving care, outcomes and the quality of life.

If you want to know more about deafness in low and middle income countries this MOOC is for you. It is primarily aimed at those working as health or education professionals, government officials, support workers, NGOs and anyone with a family or personal interest in deafness. It aims to improve knowledge and understanding of this topic.

This global health and life sciences course enables learners to investigate health problems affecting large populations – the whole world in fact! By understanding the big numbers in global mortality and their causes and distributions you will learn how to think numerically about global health. We will use real data from real people to ask the questions: What are the major causes of death in the world? Why do we need cause of death statistics? How does counting the dead help the living?
 
We begin with a historical perspective on global mortality and end with a hopeful look toward future trends. In between, you will learn about how death prior to old age can be avoided, worldwide mortality rates, and specific diseases such as HIV, malaria, childhood conditions, chronic diseases, and risk factors such as smoking. This course will help you use population statistics to understand how rapid gains in health are possible.

This overview course is designed to show new students how to take a course on edx.org. You will learn how to navigate the edX platform and complete your first course! From there, we will help you get started choosing the course that best fits your interests, needs, and dreams.

With the continuous generation of massive amounts of biomedical data on a daily basis, whether from research laboratories or clinical labs, we need to improve our ability to understand and analyze the data in order to take full advantage of its power in scientific discoveries and patient care. For non-bioinformaticians, “handling” big data remains a daunting task. This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos. You will learn how to use publicly available online resources and tools for genomic, transcriptomic, and proteomic data analysis, as well as other analytic tools and online resources. This course is funded by a research grant from the US National Institutes of Health (NIH)-Big Data to Knowledge (BD2K) Initiative.

Learn the basic principles for design of randomized clinical trials and how they should be reported.

In this course you will learn about the  different experiences patients go through in a medical context. The patient journey explores the interaction between the patient and the healthcare providers in all stages of the disease; coping with treatment and dealing with expectations, and interaction with and between different stakeholders.

This course will give designers and specialists in healthcare the knowledge, insights and tools to be able to analyze and improve patient experience. You will learn how to map complex healthcare scenarios, pinpoint opportunities and create hands-on solutions aimed at improving the patient experience.  

This course is an introduction to patient journey mapping; developed at the Delft University of Technology and applied in improvement of care pathway. Step-by-step, the course visualizes the different stakeholders, phases and actions involved in patient treatment. You will be challenged to pursue new insights and given unique opportunities to learn, observe and question patients and medical professionals, with the opportunity to attend a live broadcasted, interactive surgery.

No previous knowledge about health care innovation, design or journey mapping is necessary.

LICENSE

The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.