This training course is an introduction to the use of the AFNI software suites for the analysis of functional MRI (fMRI) data. It is not intended as an introduction to how fMRI works but is aimed at people who are already doing fMRI data analysis, or those who will be in the near future. 
AFNI (Analysis of Functional NeuroImages) is a leading software suite of C, Python, and R programs and shell scripts, primarily developed for the analysis and display of anatomical and fMRI data. It is freely available for research purposes. 
This event was organized by the Center for Brains, Minds, and Machines (CBMM) Trainee Leadership Council.
CBMM is a multi-institutional NSF Science and Technology Center headquartered at MIT that is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding. CBMM brings together computer scientists, cognitive scientists, and neuroscientists to create a new field—the science and engineering of intelligence.

Machine vision. Data wrangling. Reinforcement learning. What do these terms even mean? In AI 101, MIT researcher Brandon Leshchinskiy offers an introduction to artificial intelligence that’s designed specifically for those with little to no background in the subject. The workshop starts with a summary of key concepts in AI, followed by an interactive exercise where participants train their own algorithm. Finally, it closes with a summary of key takeaways and Q/A. All are welcome!

This is a discussion-based interactive seminar on the two major issues that affect Sub-Saharan Africa: HIV/AIDS and Poverty. AIDS and Poverty, seemingly different concepts, are more inter-related to each other in Africa than in any other continent. As MIT students, we feel it is important to engage ourselves in a dynamic discussion on the relation between the two - how to fight one and how to solve the other.

AIRS is an open source set of online modules and resources in research skills and knowledge. It provides the grounding in research processes with practical tools to support you.

AIRS is a mandatory coursework requirement for Higher Degree Research (HDR) students enrolled in a Doctor of Philosophy (PhD) or Master of Philosophy (MPhil), at the Queensland University of Technology (QUT).

This resource includes traditional writing prompts as well as prompts and assignments that utilize AI-generated text. It covers the fields of Creative Writing, Composition, and Business and Technical Writing. 

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.

To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.

As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.

The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.

‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.

This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI.

The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation.

For the experienced manager who wants to know what AI can do for her own organization.
For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work.
For the student who wants to understand how the results of AI research can be translated into practical applications.

Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems.

A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

Overview of the criminal justice system. Organization and jurisdiction of local, state, and federal lawenforcement, judicial, and correctional systems. History and philosophy of each component of thecriminal justice system and interrelations among the various agencies. Career opportunities andqualifying requirements. Lecture, on-line and classroom discussion.

Course PurposeWelcome to AJS-200 Current Issues in Criminal JusticeIn this course, we will be studying the major current issues facing the criminal justice system.  We will use as our starting point the 2015 President's 21st Century Policing Task Force report on the police.  This report came about after the death of Michael Brown, shot and killed by a Ferguson Missouri police officer. Many of the significant challenges to the way policing is carried out today came about following that one event.  This course will allow you the student to examine the different calls for police reform and research the pros and cons of each.  This course is an OER course meaning that there is NO TEXTBOOK to purchase.  Instead, we will identify and use as our training material the governmental documents and other open resource documents on the internet to gain our insights into the topic of each week. 

A continuation of MATH 2253. Topics include differentiation and integration of transcendental functions,
integration techniques, indeterminate forms, infinite sequences and series, Taylor and Maclaurin series,
parametric equations, L'Hopital's Rule, improper integrals, and polar coordinates.

CSAwesome is a free College Board endorsed curriculum for AP Computer Science A, an introductory college-level computer programming course in Java

This course contains five projects, plus a course introduction and course closure, that are organized around the following question: “How can we rethink our use of the world’s resources?” Each project involves investigations of sustainability that help contextualize the content required by the new College Board course framework.

This course contains five projects that are organized around the following question: “What is the proper role of government in a democracy?” Each project involves political simulations through which students take on roles that help contextualize the content required by the new College Board course framework.

Founders' Intent
Elections
Supreme Court
Congress
Government in Action

Openly licensed PDF unit plans of all the above units are available at this Sprocket Lucas Education Research Platform (scroll to bottom of web page).

Alternately, educators may sign up for free access to the online AP U.S. Government and Politics course that includes additional instructional supports:
https://sprocket.lucasedresearch.org/users/sprocket_access

An introductory course using visual materials with emphasis on methods and motivations that generate the visual experience, both past and present. Art practices from around the world are examined for form and content. Emphasis will be on Western Art.

Course Outcomes:
1. Articulate verbally and in writing a general understanding of the significance of visual art in a wide variety of culture and media.
2. Create a personal work of art. Articulate verbally and in writing the form and content of the piece, along with information about significant artists and art works relative to the created artwork, and to visual art.
3. Articulate verbally and in writing appropriate art vocabulary, and art evaluation concepts, when viewing visual art.

Develop a passion for visual communication and learn new skills! In Two-Dimensional Design students of all abilities will master the fundamentals of visual composition, and the various ways artists and designers use visual language. Through the study of the elements and principals of design students will develop technical proficiency in a range of art media and find creative confidence in the expression of visual communication. This course approach fosters creativity through one-one-one instruction during time, written feedback, and group critiques.

Develop a passion for visual communication and learn new skills! In Three-Dimensional Design students of all abilities will master the fundamentals of visual composition, and the various ways artists and designers use visual language. Through the study of the elements and principals of design students will develop technical proficiency in a range of art media and find creative confidence in the expression of visual communication. This course approach fosters creativity through one-one-one instruction during time, written feedback, and group critiques.