James Patrick Howard II has completed an online course from Johns Hopkins University titled "An Introduction to the U.S. Food System: Perspectives from Public Health". The course provided an overview of the U.S. food system and how food production and consumption impact public health. It was taught by faculty from Johns Hopkins' Center for a Livable Future and addressed how choices about food production and diet can affect society. The certificate verifies completion of the online course but does not confer credit or a degree from Johns Hopkins University.
Understanding and Strengthening Health Systems - Johns Hopkins University - P...Pablo Ruiz Amo
https://www.coursera.org/account/accomplishments/records/Z2B7E4R4L9W3
https://www.coursera.org/account/accomplishments/certificate/Z2B7E4R4L9W3
Understanding and Strengthening Health Systems - Johns Hopkins University - Pablo Ruiz Amo
Understanding and Strengthening Health Systems - Johns Hopkins University - P...Pablo Ruiz Amo
https://www.coursera.org/account/accomplishments/records/Z2B7E4R4L9W3
https://www.coursera.org/account/accomplishments/certificate/Z2B7E4R4L9W3
Understanding and Strengthening Health Systems - Johns Hopkins University - Pablo Ruiz Amo
Fit regression models, interpret coefficients, and investigate residuals and variability. Students also learn to use dummy variables, multi-variable adjustment, and extensions to generalized linear models, especially Poisson and logistic
regression.
Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...Folco Bombardieri
Statement of Accomplishment for the "Statistical Inference" Course from Coursera - 6th Course of the Data Science Specialization series (offered by Johns Hopkins University)
Duration: 4 weeks
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
Municipal Solid Waste Management in Developing CountriesJames Howard
Certificate for Municipal Solid Waste Management in Developing Countries from Sandec/Eawag. The course was offered through Coursera and this is my certificate.
This presentation reviews cartoons from the New Yorker with a Cold War theme and particularly those that touched on the Red Menace. This presentation was given on May 3, 2001, at the University of Maryland.
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Fit regression models, interpret coefficients, and investigate residuals and variability. Students also learn to use dummy variables, multi-variable adjustment, and extensions to generalized linear models, especially Poisson and logistic
regression.
Statement of Accomplishment: Data Science Specialization VI - Statistical Inf...Folco Bombardieri
Statement of Accomplishment for the "Statistical Inference" Course from Coursera - 6th Course of the Data Science Specialization series (offered by Johns Hopkins University)
Duration: 4 weeks
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
Municipal Solid Waste Management in Developing CountriesJames Howard
Certificate for Municipal Solid Waste Management in Developing Countries from Sandec/Eawag. The course was offered through Coursera and this is my certificate.
This presentation reviews cartoons from the New Yorker with a Cold War theme and particularly those that touched on the Red Menace. This presentation was given on May 3, 2001, at the University of Maryland.
James Howard - The Culture of Affluence Looks at the Cold WarJames Howard
A discussion of cartoons in The New Yorker that touched on Cold War themes, such as militarism, nuclear weapons, Communism, and the Soviet Union. This presentation was given on April 25, 2001, at the University of Maryland Undergraduate Research Day.
Online classrooms are de facto rich data gathering platforms. Educators can collect this data and use it to improve student outcomes through predictive analytics.
These are the slides from my dissertation defense on the National Flood Insurance Program. This presentation was given on March 31, 2014 at the University of Maryland Baltimore County.
R has become the go-to environment to support data science and statistical applications across many fields. Researchers write papers in R, engineers develop runtime applications in R, and new statistical methods are first developed in R. Supporting this powerful environment is a complete programming language and a wealth of numerical analysis tools. R has a built-in matrix language that can solve mathematical problems above and beyond statistical regression. This talk will walk through R's tools for matrix manipulation, interpolation, integration, and root finding.
Extended human space exploration requires governance structure that does not yet exist. While the Moon Treaty's prohibition on property rights is often regarded as an impediment to private space exploration, the ability of an isolated group to govern itself off-world is also an impediment to long-term exploration. Given a group of explorers on a long-term trip to the Moon, Mars, or traveling on a generation ship, the group will need self governance to provide the essential functions of state in situ.
This talk will briefly outline the governance problem, what issues will demand self-governance, and what issues today demand self-governance. In addition, this talk will provide an outline of how self governance originated amongst Europeans in North America and what lessons we can learn from that today. This talk will then present options on how to what frameworks are necessary to encourage extended human space exploration. Finally, this talk will present a call to action for what steps can be taken today to advance the human space exploration agenda.
Using Agile Methods for Course Management and DeliveryJames Howard
This talk explores the use of agile project management methods in course management. Agile methods were formalized by the software development community to delivery projects in an adaptive and responsive manner. These methods include lean management techniques, such as Kanban. Kanban was originally developed as a scheduling system for just-in-time production and relies on using cards with tasks on them. The agile project movement adapted these methods into a multi-tiered system that uses cards with individual tasks categorized by completion status, such as delayed, doing, and done. Similar needs and problems exist in course management and software development management, and similar management methods may be employed. An agile project system provides an excellent method to organize and manage a course for a busy instructor. This presentation will describe the Kanban methods and tools used by the presenter to organize, produce, and deliver courses to public policy university students.
Review of the Columbia Association's Fiscal TargetsJames Howard
To develop a successor to the current Financial Management Program. The current Financial Management Program is a ratio-based tool that is intended to analyze fiscal health. It has been used for the past 5 years and is up for review. The PSC is asking that the FAC benchmark best practices to create a successor program which may include these ratios, but which will not be limited to them.
An Introduction to the U.S. Food System: Perspectives from Public Health
1. coursera.org
MARCH 07, 2013
Statement of Accomplishment
JAMES PATRICK HOWARD, II
HAS SUCCESSFULLY COMPLETED THE JOHNS HOPKINS UNIVERSITY'S OFFERING OF
An Introduction to the U.S. Food
System: Perspectives from Public
Health
This online course taught by faculty from the Johns Hopkins
Center for a Livable Future provides an introduction to the U.S.
food system and how food production practices and what we
choose to eat impacts the world in which we live.
KEEVE E. NACHMAN, PHD, MHS PROFESSOR ROBERT S. LAWRENCE, MD
ASSISTANT SCIENTIST THE CENTER FOR A LIVABLE FUTURE
DEPT. OF ENVIRONMENTAL HEALTH PROFESSOR IN ENVIRONMENTAL
SCIENCES HEALTH SCIENCES
BLOOMBERG SCHOOL OF PUBLIC HEALTH BLOOMBERG SCHOOL OF PUBLIC HEALTH
JOHNS HOPKINS UNIVERSITY JOHNS HOPKINS UNIVERSITY
PLEASE NOTE: THE ONLINE OFFERING OF THIS CLASS DOES NOT REFLECT THE ENTIRE CURRICULUM OFFERED TO STUDENTS ENROLLED AT
THE JOHNS HOPKINS UNIVERSITY. THIS STATEMENT DOES NOT AFFIRM THAT THIS STUDENT WAS ENROLLED AS A STUDENT AT THE JOHNS
HOPKINS UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY GRADE; IT DOES NOT CONFER JOHNS HOPKINS
UNIVERSITY CREDIT; IT DOES NOT CONFER A JOHNS HOPKINS UNIVERSITY DEGREE; AND IT DOES NOT VERIFY THE IDENTITY OF THE
STUDENT.