Courses tagged with "Multiplying+and+factoring+expressions" (81)

This course is for anyone interested in learning more about Veterinary Medicine, giving a “taster” of courses covered in the first year of a veterinary degree and an idea of what it is like to study Veterinary Medicine.

Chronic pain is at epidemic levels and has become the highest-cost condition in health care. This course uses evidence-based science with creative and experiential learning to better understand chronic pain conditions and how they can be prevented through self-management in our cognitive, behavioral, physical, emotional, spiritual, social, and environmental realms.

This online course introduces the history and practice of drug policy. Students will learn about drug laws and their origins, and the complex task of drug policy analysis. The course also tackles contemporary issues in drug control, such as marijuana policy and prescription drug misuse.

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.

Abortion is a common experience for women around the world; yet, abortion is often excluded from the curricula of health professionals. This course, geared toward clinicians, health care workers, and students, aims to address this gap and will contextualize abortion care within a public health framework from both clinical and social perspectives.

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.

Learn how advances in biomedicine hold the potential to revolutionize drug development, drug treatments, and disease prevention: where are we now, and what does the future hold? This course is intended for healthcare providers 5+ years out of training--a lot has changed!! Other providers, medical/health sciences students, and members of the public may also be interested.

本课程针对普通人普及常见的急救和自救的知识和技能，让学习者可以在危急时刻进行急救，或许不够规范甚至不能完成治疗，但能起基础的救护作用，至少能争取救助的时间，从而增加自己、家人或其他人的生存机会。这些应该全民普及的急救技能不仅反映了公民素质，更表现了对生命的尊重和热爱，是尊重生存权的体现。

This course is geared towards starting undergraduate students. A solid background in biology will be helpful but not absolutely essential. The material will be of interest to those who are pursuing a career in any of the life sciences as well as anyone who has run up against their biological clock.

本课程针对医学图像的特征，结合临床需求，由浅入深地讲解医学图像的种类、特征、应用领域、数字化存储形式，并分类讲解图像处理的理论和算法，结合应用案例和课程实践使学生熟练掌握祥光领域的知识和技能，并具备一定的动手能力。

Introduction to Biomedical and Health Informatics (BHI) that covers: 1) Informatics needs driven by Big Data generated from current biomedicine and health care (e.g., cancer, cardiovascular disease, aging population, etc.) 2) Informatics challenges and common methodologies 3) Progress made in BHI and opportunities.

We introduce the characteristics and related analytic challenges on dealing with clinical data from electronic health records. Many of those insights come from medical informatics community and data mining/machine learning community. There are three thrusts in this course: Application, Algorithm and System

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

Interdisciplinary course exploring the future of medical education. Featuring thought leaders, educators, innovators, physicians and technologists.

How do we empower patients to improve their own health? Learn the neuroscience, psychology, and design principles behind effective patient engagement.

This course aims to help high school students, recent graduates, and those considering career transitions explore health care career options and learn strategies for entry into the health care workforce and health related fields.

While the advances in genomics promise to usher a new era in medical practice and create a major paradigm shift in patient care, the ethical, legal and social impact of genomic medicine will be equally significant. The information and potential use of genomic discoveries are no longer issues left for scientists and medical professionals to handle, but have become ones for the public at large. Rarely a day passes without a genomics-related story reported in the media. By the end of this course, students will be able to better understand the field of genomics; be familiar with various online databases and resources; and understand and appreciate the medical, social, ethical, and legal issues associated with the availability of personal genomic information.

Given the diversity of the topics and the specific expertise required to cover each, this is a unique cross-disciplinary course where faculty from different disciplines including genetics, computational sciences, bioinformatics, genetic counseling, bioethics, law, and business will participate in lecturing. We have assembled a team of experts from various departments at Georgetown University and other institutions, to teach this comprehensive online genomics course.

For a detailed description of the weekly topics, see the course outline.

Imaging technologies form a significant component of the health budgets of all developed economies, and most people need advanced imaging such as MRIs, X-Rays and CT Scans (or CAT Scans) during their life. Many of us are aware of the misinformation sometimes offered in TV dramas, which either exaggerates the benefits or overemphasizes the risks.

This medical imaging course provides an introduction to biomedical imaging and modern imaging modalities. The course also covers the basic scientific principals behind each modality, and introduces some of the key applications, from neurological diseases to cancers. This course includes modules specially designed for the general public, whilst also providing some advanced modules which could contribute to professional development in health, engineering and IT industries.

Quantitative Methods in Clinical and Public Health Research is the online adaptation of material from the Harvard T.H. Chan School of Public Health's classes in epidemiology and biostatistics. Principled investigations to monitor and thus improve the health of individuals are firmly based on a sound understanding of modern quantitative methods. This involves the ability to discover patterns and extract knowledge from health data on a sample of individuals and then to infer, with measured uncertainty, the unobserved population characteristics. This course will address this need by covering the principles of biostatistics and epidemiology used for public health and clinical research. These include outcomes measurement, measures of associations between outcomes and their determinants, study design options, bias and confounding, probability and diagnostic tests, confidence intervals and hypothesis testing, power and sample size determinations, life tables and survival methods, regression methods (both, linear and logistic), and sample survey techniques. Students will analyze sample data sets to acquire knowledge of appropriate computer software. By the end of the course the successful student should have attained a sound understanding of these methods and a solid foundation for further study.
 

FAQ

How much does it cost to take the course?
Nothing! The course is free.

When will assignments be due?
The course is organized into weeks, and each week will have its own set of assignments. Students will be expected to complete their homework each week.

Do I need any other materials to take the course?
Nope, as long as you’ve got a Mac or PC, you’ll be ready to take the course.

Will the course use any textbooks or software?
Yes! We'll have free access to the book "Principles of Biostatistics" written by Marcello Pagano (one of the Professors) and Kimberlee Gauvreau.

In addition to the textbook, we'll use Stata (a piece of software for doing statistical analysis).

Thanks to our friends at Statacorp, we'll have free copies of Stata available for all students to use for the duration of the course (Mac and PC only).

Do I need to watch the lectures live?
No. You can watch the lectures at your leisure.

Will certificates be awarded?
Yes. Online learners who achieve a passing grade in a course can earn a certificate of achievement. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of either HarvardX, MITx or BerkeleyX, designating the institution from which the course originated. For the courses in Fall 2012, honor code certificates will be free.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code : https://www.edx.org/edx-terms-service. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement : http://harvardx.harvard.edu/research-statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form : https://www.edx.org/contact-us.

This course will provide an introduction to the scientific, statistical, and ethical aspects of clinical trials research. Topics include the design, implementation, and analysis of trials, including first-in-human studies (dose-finding, safety, proof of concept, and Phase I), Phase II, Phase III, and Phase IV studies. All aspects of the development of a study protocol will be addressed, including criteria for the selection of participants, treatments, and endpoints, randomization procedures, sample size determination, data analysis, and study interpretation. The ethical issues that arise at each phase of therapy development will be explored.

This course contains 12 modules. The modules will be released Monday of each week, with the exception of some holiday weeks. Most students should plan to spend 4 – 6 hours on each module. Students will have until February 14, 2014 to earn a HarvardX certificate.

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code : https://www.edx.org/edx-terms-service. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement : http://harvardx.harvard.edu/research-statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form : https://www.edx.org/contact-us.