Courses tagged with "Brain stem" (299)

A critical, unbiased introduction to using new genomic tools for diagnosing and managing disease.

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.

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.

Ce Mooc parle de conservation de la nature, d’Afrique, de parcs, et de réserves. Découvrir et comprendre comment améliorer la gouvernance et la gestion de ces territoires uniques, c’est son objectif.

This introductory global health course aims to frame global health's collection of problems and actions within a particular biosocial perspective. It develops a toolkit of interdisciplinary analytical approaches and uses them to examine historical and contemporary global health initiatives with careful attention to a critical sociology of knowledge. Four physician-anthropologists - Paul Farmer, Arthur Kleinman, Anne Becker, and Salmaan Keshavjee - draw on experience working in Asia, Africa, Eastern Europe, and the Americas to investigate what the field of global health comprises, how global health problems are defined and constructed, and how global health interventions play out in both expected and unexpected ways.

The course seeks to inspire and teach the following principles:

A global awareness. This course aims to enable learners to recognize the role of distinctive traditions, governments, and histories in shaping health and well being. In addition, rather than framing a faceless mass of poor populations as the subject of global health initiatives, the course uses ethnographies and case studies to situate global health problems in relation to the lives of individuals, families, and communities.

A foundation in social and historical analysis. The course demonstrates the value of social theory and historical analysis in understanding health and illness at individual and societal levels.

An ethical engagement. Throughout the course, learners will be asked to critically evaluate the ethical frameworks that have underpinned historical and contemporary engagement in global health. Learners will be pushed to consider the moral questions of inequality and suffering as well as to critically evaluate various ethical frameworks that motivate and structure attempts to redress these inequities.

A sense of inspiration and possibility. While the overwhelming challenges of global health could all too easily engender cynicism, passivity, and helplessness, learners will observe that no matter how complex the field of global health and no matter how steep the challenges, it is possible to design, implement, and foster programs and policies that make enormous positive change in the lives of the world’s poorest and suffering people.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. 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 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.

This course provides an overview of the issue of postharvest loss of grains by exploring essential physical, technical, and social dimensions of postharvest supply chains and loss prevention methods globally.

Global Warming Science teaches you about the risks and uncertainties of future climate change by examining the science behind the earth’s climate. You will be able to answer such questions as, “What is the Greenhouse Effect?” and “How and why has earth’s climate changed through geologic history?”

This science course is designed for college sophomores and juniors with some preparation in college-level calculus and physics. 

This class describes the science of global warming and the forecast for humans’ impact on Earth’s climate. Intended for an audience without much scientific background but a healthy sense of curiosity, the class brings together insights and perspectives from physics, chemistry, biology, earth and atmospheric sciences, and even some economics—all based on a foundation of simple mathematics (algebra).

Anatomy lab isn’t just for first year medical students anymore. With this online anatomy course, anyone can learn about the upper limb, without the cadaver.

This course will serve as your introduction to the anatomy of the upper limb. We’ll start with basic human anatomical terminology and apply that knowledge to examining the bones of the upper limb and how they articulate at joints. You will also learn about the muscles that produce movement at those joints in addition to the innervation and blood supply of the upper limb.

This course introduces what we already know, and what we are still discovering, about the form and function of the human brain.

Explore our past, present and future understanding of drugs. Where do they come from? How do they work? Join us and find out!

Learn about the ethical issues that arise when conducting human subjects research, as well as the history that grounds policies and debates in this area of biomedicine.

Imagine if there were an organ in your body that weighed as much as your brain, that affected your health, your weight, and even your behavior. Wouldn’t you want to know more about it? There is such an organ — the collection of microbes in and on your body, your human microbiome.

If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect: the most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics

If you’re interested in data analysis and interpretation, then this is the data science course for you.

Enhanced throughput: Almost all recently manufactured laptops and desktops include multiple core CPUs. With R, it is very easy to obtain faster turnaround times for analyses by distributing tasks among the cores for concurrent execution. We will discuss how to use Bioconductor to simplify parallel computing for efficient, fault-tolerant, and reproducible high-performance analyses. This will be illustrated with common multicore architectures and Amazon’s EC2 infrastructure.  

Enhanced interactivity: New approaches to programming with R and Bioconductor allow researchers to use the web browser as a highly dynamic interface for data interrogation and visualization. We will discuss how to create interactive reports that enable us to move beyond static tables and one-off graphics so that our analysis outputs can be transformed and explored in real time.

Enhanced reproducibility: New methods of virtualization of software environments, exemplified by the Docker ecosystem, are useful for achieving reproducible distributed analyses. The Docker Hub includes a considerable number of container images useful for important Bioconductor-based workflows, and we will illustrate how to use and extend these for sharable and reproducible analysis.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics

Este curso está diseñado para que los estudiantes adquieran los conocimientos necesarios para distinguir los cuatro tipos de tejidos celulares que conforman el organismo. Está dirigido a estudiantes de Medicina, Biología, Veterinaria, Fisioterapia y Enfermería

How do we read and model fictional minds? Introducing cognitive poetics: the application of cognitive science to literary reading.

Introductory virology course that covers the interplay between viruses and their host organisms, with with the goal of understanding viral diseases and their prevention.

How is the human body structured? How are the different body systems interconnected with each other? If you are interested but layman to Human Anatomy, if you find the Human Anatomy textbooks are too difficult to read, or if you want to freshen up quickly your anatomy knowledge, this is the course for you.

Human Anatomy is fundamental to every medical and healthcare professional. However, the science of anatomy and effects of stroke are also extremely useful to anyone interested in understanding more about the human body. In this course, you’ll gain an understanding of the basic concepts of anatomy and learn to ‘dissect’ the human body with a logical approach through a typical clinical case of stroke.

Case-based study:
A real-life severe stroke case is adopted in this MOOC to articulate the application of Human Anatomy knowledge. This case scenario is presented by using a micro movie together with an interactive case summary and interview to arouse learners’ interest.

Module-based design:
In addition to the presentation of a stroke case scenario in Module ONE, two more modules are included. In Module TWO, general knowledge of human anatomy related to the stroke case, including organs of important body systems, anatomical orientation, skeletal and muscular system, nervous system and special senses, and cardiovascular and pulmonary system. And Module THREE is specific for healthcare professionals or learners who want to know more about the health services being provided to stroke patients. It rounds up the course with six healthcare-discipline specific role play videos and lectures given by visiting professors.