The structure of the course is designed to have students acquire a broad understanding of the field of Marine Chemistry; to get a feel for experimental methodologies, the results that they have generated and the theoretical insights they have yielded to date.

This class is designed to provide the student with a global to molecular-level perspective of organic matter cycling in the oceans and marine sediments. Topics include: Organic matter (C,N,P) composition, reactivity and budgets within, and fluxes through, major ocean reservoirs; microbial recycling pathways for organic matter; models of organic matter degradation and preservation; role of anoxia in organic matter burial; relationships between dissolved and particulate (sinking and suspended) organic matter; methods for characterization of sedimentary organic matter; and application of biological markers as tools in oceanography. Both structural and isotopic aspects are covered.

In this presentation, we will discuss the Malaria Elimination Project, and why community engagement is so important for this project. Specifically, we will focus on the three major components of community acceptance, which is understanding the human behavior, the geography and the social structure of the people living in the given community.

The focus of this presentation is to expand the students’ knowledge about the geographic information systems, GIS for the malaria Elimination project. In continuation of this we will discuss mass drug administration and health infrastructure.

The course presents a systematic approach to design and assembly of mechanical assemblies, which should be of interest to engineering professionals, as well as post-baccalaureate students of mechanical, manufacturing and industrial engineering. It introduces mechanical and economic models of assemblies and assembly automation at two levels. “Assembly in the small” includes basic engineering models of part mating, and an explanation of the Remote Center Compliance. “Assembly in the large” takes a system view of assembly, including the notion of product architecture, feature-based design, and computer models of assemblies, analysis of mechanical constraint, assembly sequence analysis, tolerances, system-level design for assembly and JIT methods, and economics of assembly automation. Class exercises and homework include analyses of real assemblies, the mechanics of part mating, and a semester long project. Case studies and current research are included.

Graphics for use for first year college students to encourage and reinforce mindfulness techniques that can be used to promote academic success.

Numerous biases are believed to affect the scientific literature, but their actual prevalence across disciplines is unknown. To gain a comprehensive picture of the potential imprint of bias in science, we probed for the most commonly postulated bias-related patterns and risk factors, in a large random sample of meta-analyses taken from all disciplines. The magnitude of these biases varied widely across fields and was overall relatively small. However, we consistently observed a significant risk of small, early, and highly cited studies to overestimate effects and of studies not published in peer-reviewed journals to underestimate them. We also found at least partial confirmation of previous evidence suggesting that US studies and early studies might report more extreme effects, although these effects were smaller and more heterogeneously distributed across meta-analyses and disciplines. Authors publishing at high rates and receiving many citations were, overall, not at greater risk of bias. However, effect sizes were likely to be overestimated by early-career researchers, those working in small or long-distance collaborations, and those responsible for scientific misconduct, supporting hypotheses that connect bias to situational factors, lack of mutual control, and individual integrity. Some of these patterns and risk factors might have modestly increased in intensity over time, particularly in the social sciences. Our findings suggest that, besides one being routinely cautious that published small, highly-cited, and earlier studies may yield inflated results, the feasibility and costs of interventions to attenuate biases in the literature might need to be discussed on a discipline-specific and topic-specific basis.

This course encourages creative thinking through hands-on experience via building, observing and manipulating micro-and nano-scale structures. Students learn about underlying science and engineering principles and possible applications.

In this lesson, students will be introduced to Passive Voice through a text: Mobile Phones, and a video: Are You Lost In The World Like Me?, which will show to students information about the use of Mobile Phones and give them some new vocabulary about Technology through a text.It is important that this activity will be implemented in a multi-media room with technological resources: computers and an interactive board (or a video beam in case there is not an interactive board), so that, the teacher can explain the lesson.

This course provides an introduction to the study of environmental phenomena that exhibit both organized structure and wide variability—i.e., complexity. Through focused study of a variety of physical, biological, and chemical problems in conjunction with theoretical models, we learn a series of lessons with wide applicability to understanding the structure and organization of the natural world. Students also learn how to construct minimal mathematical, physical, and computational models that provide informative answers to precise questions.
This course is appropriate for advanced undergraduates. Beginning graduate students are encouraged to register for 12.586 (graduate version of 12.086). Students taking the graduate version complete different assignments.

This course provides an introduction to the study of environmental phenomena that exhibit both organized structure and wide variability - i.e., complexity. Through focused study of a variety of physical, biological, and chemical problems in conjunction with theoretical models, we learn a series of lessons with wide applicability to understanding the structure and organization of the natural world. Students will also learn how to construct minimal mathematical, physical, and computational models that provide informative answers to precise questions.

In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

This activity (explanation game) is used to help propose ways to reduce or prevent health problems within the cardiovascular system.

This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems.

Short Description:
This book is intended for use in a large introductory class in new media in a program that covers the “full-stack” including critical/cultural studies, media management, diffusion of innovation, and synthetic media production. The first half of this basic sequence covered new media and democracy, finance, intellectual property law, basic games, and transmedia. The second half of the sequence covers many topics related to aesthetics, design, technology, and methodology. Data dashboard

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This course provides an introduction to nonlinear dynamics and chaos in dissipative systems. The content is structured to be of general interest to undergraduates in science and engineering. The course concentrates on simple models of dynamical systems, mathematical theory underlying their behavior, their relevance to natural phenomena, and methods of data analysis and interpretation. The emphasis is on nonlinear phenomena that may be described by a few variables that evolve with time.

This resource provides lecture notes and writing assignments for the study of a novel - in this case, Aldous Huxley's Brave New World. These notes and assignments, however, can be adapted and applied to practically any novel. Unless otherwise noted, this resource is licensed under CC BY-NC-SA.

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB® programming.