Word Count: 9950

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In the course we will use a feminist interdisciplinary lens and invite students to look critically at how practices like privatization, shrinking public “safety nets”, de-regulation, and the commodification of health services intersect inevitably with gender, race and class, for both men and women. We will draw on a blend of empirical studies, policy materials, films and guest speakers to examine specific health issues like menstrual health, corporate obstetrics, abortion, obesity, intersex, harassment and other forms of gendered violence, mental health and stress, parent-child attachment, as well as ethics and pharmaceuticals.
The Graduate Consortium in Women’s Studies (GCWS)
This course is part of the Graduate Consortium in Women’s Studies. The GCWS at MIT brings together scholars and teachers at nine degree-granting institutions in the Boston area who are devoted to graduate teaching and research in Women’s Studies and to advancing interdisciplinary Women’s Studies scholarship. Learn more about the GCWS.

This course draws on different disciplines, conceptual frameworks, and methodological approaches to examine gender in relation to health, including public health practice, epidemiologic research, health policy, and clinical application. It discusses a variety of health-related issues that illustrate global, international, domestic, and historical perspectives, while considering other social determinants of health as well, including social class and race.

A self-study online course with modules about how to do and teach GenderMag. Available any time. Multiple certificates available (free). Target audience = educators, developers, engineers, students, anyone interested in GenderMag

This course examines diagnostic studies of the Earth’s atmosphere and discusses their implications for the theory of the structure and general circulation of the Earth’s atmosphere. It includes some discussion of the validation and use of general circulation models as atmospheric analogs.

This eBook is a medical education resource intended to supplement the knowledge, skills, and attitudes of medical students and pediatric residents in furthering their own knowledge about the general inpatient management of pediatric diabetes mellitus. This book may be of further use to any physician, advanced practitioners, or nurses who may also encounter pediatric patients with diabetes mellitus in the inpatient hospital setting. This book is specific to protocols and preferences for pediatric diabetes management at the University of Iowa Stead Family Children's Hospital. However, it also contains overarching concepts that transcend location wherever pediatric diabetes may be managed. At the time of publication, this book includes 4 Units, each consisting of 4-7 Chapters. Unit 1 introduces readers to an overview of diabetes mellitus, including its definition, diagnostic criteria, laboratory evaluation, clinical diagnosis, and key differences between Type 1 and Type 2 diabetes. Unit 2 dives into understanding different types of insulins and their uses. Unit 3 walks readers through the creation of initial insulin regimens for pediatric patients with new-onset diabetes. Lastly, Unit 4 dives into the details of pediatric diabetes management at Stead Family Children’s Hospitals according to the protocols and capabilities of the institution and preferences of the pediatric endocrinology division.

The emergence of transformer architectures in 2017 triggered a breakthrough in machine learning that today lets anyone create computer-generated essays, stories, pictures, music, videos, and programs from high-level prompts in natural language, all without the need to code. That has stimulated fervent discussion among educators about the implications of generative AI systems for curricula and teaching methods across a broad range of subjects. It has also raised questions of how to understand both these systems and the at times overstated claims made for them. This class will introduce the foundations of generative AI technology, and participants will explore new opportunities it enables for K–12 education. It will also describe and explore how an analytical frame of mind can help make clear the core issues underlying both the successes and failures of these systems. Much of the work will be project-based, involving implementing innovative teaching and learning tools and testing these with K–12 students and teachers.

Short Description:
This textbook provides an introduction to plant genetics and biotechnology for the advancement of agriculture. A clear and structured introduction to the topic for learners new to the field of genetics, the book includes: an introduction to the life cycle of the cell, DNA and how it relates to genes and chromosomes, DNA analysis, recombinant DNA, biotechnology, and transmission genetics.

Long Description:
This textbook provides an introduction to plant genetics and biotechnology for the advancement of agriculture. A clear and structured introduction to the topic for learners new to the field of genetics, the book includes: an introduction to the life cycle of the cell, DNA and how it relates to genes and chromosomes, DNA analysis, recombinant DNA, biotechnology, and transmission genetics.

Word Count: 45195

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The new Genome3D annotations provide information on the likely structure of proteins, and the predictions made can guide the design of protein constructs for structural studies.

By the end of the course you will be able to:
explain the role of Genome3D annotations in InterPro

This quick tour provides a brief introduction to Genome Properties, a resource for assigning pathway function to species based on the presence or absence of defined molecular markers, as detected by the protein signature models contained within InterPro.

By the end of the course you will be able to:
Describe the data contained in Genome Properties
Summarise how Genome Properties data can be accessed

Genome Properties allows you to infer the presence of pathways and systems within a species, based on the occurrence of a set of underlying molecular markers.

By the end of the course you will be able to:
Describe the data contained in Genome Properties
Demonstrate various ways to search the resource
Propose ways to use Genome Properties in your own research

This course will focus on understanding aspects of modern technology displaying exponential growth curves and the impact on global quality of life through a weekly updated class project integrating knowledge and providing practical tools for political and business decision-making concerning new aspects of bioengineering, personalized medicine, genetically modified organisms, and stem cells. Interplays of economic, ethical, ecological, and biophysical modeling will be explored through multi-disciplinary teams of students, and individual brief reports.

This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering. Future opportunities and current limitations will be critically addressed. In addition to the regular lecture sessions, supplementary sections are scheduled to address issues related to Perl, Mathematica and biology.

Teaching Sources Rhetorically

Word Count: 8020

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This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language.
The course is designed to help prepare students for 6.01 Introduction to EECS I. 6.01 assumes some knowledge of Python upon entering; the course material for 6.189 has been specially designed to make sure that concepts important to 6.01 are covered.
This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff.
This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including: reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and modeling geographic phenomena. By demonstrating how various geographic operations can be linked, in reproducible ‘code chunks’ that intersperse the prose, the book also teaches a transparent and thus scientific workflow. Learning how to use the wealth of geospatial tools available from the R command line can be exciting, but creating new ones can be truly liberating. Using the command-line driven approach taught throughout, and programming techniques covered in Chapter 11, can help remove constraints on your creativity imposed by software. After reading the book and completing the exercises, you should therefore feel empowered with a strong understanding of the possibilities opened up by R’s impressive geographic capabilities, new skills to solve real-world problems with geographic data, and the ability to communicate your work with maps and reproducible code.

A good detective or researcher like Sherlock Holmes knows the fundamental questions that need to be answered to gather facts to solve a problem. So how does geospatial intelligence contribute to answering these questions? While geospatial technology is useful in revealing who, what, when, and where events take place, it is less useful in explaining why events occur. However, geospatial intelligence analysis leverages geographic information science and technology with the intelligence tradecraft to develop products that support decision-making in national and homeland security, law enforcement, emergency management, and international relief efforts. GEOG 882 will challenge you to think critically, consider alternative viewpoints, and question your own assumptions when analyzing why human events occur over place and time.

In this data rich world, we need to understand how things are organized on the Earth's surface. Those things are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data.

Word Count: 55656

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