This course will focus upon the geographers bi association of site and situation. The primary goal of the course is to increase the awareness of students through didactic knowledge that is necessary in the planning process. That leads to the course design which in the first part of the semester will focus upon site issues and the last part of the course will focus upon situation issues involving the interactions of the site.

OASIS3-MCT is a coupling library that can be used to exchange information between codes modelling the different components of the Earth System, for example the ocean and the atmosphere. In this training, consisting of a series of videos, you will learn how to use OASIS3-MCT to set up a coupled model exchanging coupling fields. This material is based on a SPOC (Short Private Online Course) developed in the framework of the ESiWACE CoE. It is fully valid for OASIS3-MCT_5.0 and previous versions. To gain full knowledge on how to build a coupled model with OASIS3-MCT, we strongly encourage you to follow the SPOC in addition to your visit to the current OER pages. For questions, please contact oasishelp@cerfacs.fr

How genetics can add to our understanding of cognition, language, emotion, personality, and behavior. Use of gene mapping to estimate risk factors for psychological disorders and variation in behavioral and personality traits. Mendelian genetics, genetic mapping techniques, and statistical analysis of large populations and their application to particular studies in behavioral genetics. Topics also include environmental influence on genetic programs, evolutionary genetics, and the larger scientific, social, ethical, and philosophical implications.

This course explores the cognitive and neural processes that support attention, vision, language, motor control, navigation, and memory. It introduces basic neuroanatomy, functional imaging techniques, and behavioral measures of cognition, and discusses methods by which inferences about the brain bases of cognition are made. We consider evidence from patients with neurological diseases (Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, Balint’s syndrome, amnesia, and focal lesions from stroke) and from normal human participants.

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 survey course is intended to review memory and its impact on our lives. Memories make us who we are, and make us what we are going to become. The loss of memory in amnesia can cause us to lose ourselves.
Memory provides a bridge between past and present. Through memory, past sensations, feelings, and ideas that have dropped from conscious awareness can be subsequently recovered to guide current thought and action. In this manner, memory allows us to locate our car in the parking lot at the end of the day or guides us to avoid retelling the same joke to the same friend. This seminar will focus on how memories are created and controlled such that we are able to remember the past. Recent insights from non-human electrophysiological and human brain imaging research will be emphasized.

This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include the nature of mental representation and processing, the architecture of memory, pattern recognition, attention, imagery and mental codes, concepts and prototypes, reasoning and problem solving.

This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitive robotic. This class takes the approach of introducing new reasoning techniques and ideas incrementally. We start with the current paradigm of programming you’re likely familiar with, and evolve it over the semester—continually adding in new features and reasoning capabilities—ending with a robust, intelligent system. These techniques and topics will include algorithms for allowing a robot to: Monitor itself for potential problems (both observable and hidden), scheduling tasks in time, coming up with novel plans to achieve desired goals over time, dealing with the continuous world, collaborating with other (autonomous) agents, dealing with risk, and more.

This seminar examines the history and legacy of the Cold War on American science. It explores scientist’s new political roles after World War II, ranging from elite policy makers in the nuclear age to victims of domestic anti Communism. It also examines the changing institutions in which the physical sciences and social sciences were conducted during the postwar decades, investigating possible epistemic effects on forms of knowledge. The subject closes by considering the place of science in the post-Cold War era.

How do individuals and families interface with larger systems, and how do therapists intervene collaboratively? How do larger systems structure the lives of individuals and families? Relationally-trained practitioners are attempting to answer these questions through collaborative and interdisciplinary, team-focused projects in mental health, education, the law, and business, among other fields. Similarly, scholars and researchers are developing specific culturally responsive models: outreach family therapy, collaborative health care, multi-systemic school interventions, social-justice-oriented and spiritual approaches, organizational coaching, and consulting, among others. This course explores these developments and aims at developing a clinical and consulting knowledge that contributes to families, organizations, and communities within a collaborative and social-justice-oriented vision.

This course provides an introductory survey of data science tools in healthcare. It was created by members of MIT Critical Data, a global consortium consisting of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations.
The most daunting global health issues right now are the result of interconnected crises. In this course, we highlight the importance of a multidisciplinary approach to health data science. It is intended for front-line clinicians and public health practitioners, as well as computer scientists, engineers, and social scientists, whose goal is to understand health and disease better using digital data captured in the process of care.
What you’ll learn:

Principles of data science as applied to health
Analysis of electronic health records
Artificial intelligence and machine learning in healthcare

This course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

This is a 9-day hands-on workshop about collaboration, design, and electronics prototyping. No previous experience with computer programming or electronics is required. Beginning students will be taught everything they need to know and advanced students will be challenged to learn new skills. Participants will learn about microcontroller programming using Arduino, collaborative software development using GitHub, solderless electronics prototyping, electronic sensors, rapid prototyping, and small team management.
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.

These are two resources for the COAST Program: The modules and the Google Map.

This course covers relations and functions, specifically, linear, polynomial, exponential, logarithmic, and rational functions. Additionally, sections on conics, systems of equations and matrices and sequences are also available.

The fundamental concepts of inorganic chemistry including the physical and chemical properties of matter, atomic structure, chemical bonding, stoichiometry, the gas laws, solutions, acids and bases, redox reactions, and chemical equilibria. The laboratory includes an experimental study of the chemical principles. 3 hours lecture/3 hours laboratory.

This course is designed for the student in science, electronic technology, or a health profession such as physical therapy. Subject matter covered will include: principles of mechanics, concurrent forces, nonconcurrent forces, friction, elasticity, motion, forces and motion, work and energy, power, impulse and momentum, and simple harmonic motion. A non-calculus approach.

In-Class Active Learning Worksheets for Introductory College Physics (Algebra- based)Contact Catherine Whiting, cwhiting@coloradomesa.edu for solutions and/or .tex files

Textbook for introductory composition, focusing on writing processes, essay writing, and research writing.

This course analyzes combinatorial problems and methods for their solution. Topics include: enumeration, generating functions, recurrence relations, construction of bijections, introduction to graph theory, network algorithms, and extremal combinatorics.

Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems.

This is a graduate-level course in combinatorial theory. The content varies year to year, according to the interests of the instructor and the students. The topic of this course is hyperplane arrangements, including background material from the theory of posets and matroids.