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This course will discuss different ways of formally modeling requirements of interest for autonomous systems. Examples of such requirements include stability, invariance, reachability, regular languages, omega-regular languages, and linear temporal logic properties. In addition, it will introduce non-deterministic finite and büchi automata for recognizing, respectively, regular languages ​​and omega-regular languages. This course can be taken for academic credit as part of CU Boulder's MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

“Wind Turbine Sensors” starts with a discussion on how wind turbines generate energy and the major parts of a wind turbine. It then moves to a deep dive on the mechanical components (turbine blades, hub assembly, gearbox. yaw drive, brakes) and the sensors that monitor these components. Then we discuss the generator and transformer and sensors for these electrical components. Finally, we discuss the sensors that measure the wind speed and sensors that optimize electrical power. Wind Turbine Sensors can also be taken for academic credit as ECEA 5350, part of CU Boulder's Master of Science in Electrical Engineering.

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics. Topics in Part 2 include sampling distributions; one-sample hypothesis tests on the mean, variance, and binomial proportion; two-sample hypothesis tests (comparison of means, variances, and binomial proportions of samples drawn from two populations); simple (straight-line) regression; multilinear regression; and analysis of variance (ANOVA). Statistical techniques are taught with the help of Microsoft Excel, which is an intuitive software package that has many built-in functions and tools for statistical analysis. This course is the second course out of three that comprise the specialization "Statistics and Applied Data Analysis." Course 3 will focus on statistical analysis in the statistical software package RStudio.

O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você aprenderá como planejar com eficácia uma sequência de aprendizagem usando simulações PhET para matemática e ciências e como levá-las para a sala de aula. Para concluir este curso, você deve concluir duas tarefas revisadas por pares: 1) elaborar um Guia de Ensino baseado em investigação que integre simulações PhET e 2) aplicar seu Guia em sua aula e refletir os resultados com as Ferramentas de Reflexão Ph ET. Este curso é o quarto e último dos quatro cursos que compõem o programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”. Este curso também está disponível em inglês como “Implementation of PhET Activities for STEM Education” e em espanhol como “Implementación de Actividades PhET para la Educación STEM.”

O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você aprenderá estratégias sobre como usar o PhET em circunstâncias em que apresenta uma simulação para toda a turma por meio de projetor, lousa interativa ou enquanto compartilha sua tela online. Este curso é o segundo da programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Para concluir este curso, você precisa completar duas das três tarefas possíveis com Revisão por Pares: 1) Perguntas para Toda a Turma, 2) Aulas Interativas com Demonstrações, 3) Questões Conceituais. Este curso também está disponível em espanhol como “Clase Entera con PhET para la Educación STEM” e em inglês como “Whole Class with PhET for STEM Education.”

Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), um projeto da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas e interativas baseadas em pesquisa para uso no ensino fundamental, médio e superior. Testamos e avaliamos extensivamente cada simulação para garantir a eficácia educacional. Todas as simulações são de código aberto e gratuitas para todos os alunos e professores. Neste curso, você aprenderá como acessar e compartilhar simulações PhET com seus alunos e explorar os recursos que tornam as simulações PhET uma ferramenta poderosa para professores de ciências e matemática. Você também aprenderá como garantir a equidade no seu ensino por meio do uso da aprendizagem ativa. Este curso é o primeiro do programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Para concluir este curso, você precisa concluir uma tarefa com Revisão por Pares: 1) Selecionar simulações PhET. Este curso também está disponível em espanhol como “Introducción a las Simulaciones PhET para la Educación STEM” e em inglês como “Introduction to the PhET Simulations for STEM Education.”

O projeto Simulações Interativas PhET (https://phet.colorado.edu/pt_BR), da Universidade do Colorado em Boulder, oferece simulações de ciências e matemática divertidas, gratuitas, interativas e baseadas em pesquisa para uso no ensino fundamental, médio e superior . Cada simulação foi extensivamente testada e avaliada para garantir que seja adequada para fins educacionais. Além disso, todas as simulações são de código aberto e gratuitas, tanto para alunos como para professores. Neste curso, você estudará estratégias sobre como usar PhET para criar atividades de aprendizagem ativa baseadas em simulação para aulas de matemática ou ciências, incluindo folhas de atividades que os alunos podem usar enquanto trabalham de individualmente ou em grupos com, acesso direto às simulações em seus próprios dispositivos. Para concluir este curso, você deve concluir duas tarefas de revisão por pares: 1) Avaliar e melhorar uma folha de atividades do banco de dados PhET e 2) criar sua própria folha de atividades de ciências ou de matemática que integre simulações PhET . Este curso é o terceiro do programa de cursos integrados “Aprendizagem Ativa em STEM com Simulações Interativas PhET”, que inclui 4 cursos no total. Este curso também está disponível em inglês como “Activity Design with PhET Simulations for STEM Education” e em espanhol como “Diseño de Actividades con Simulaciones PhET para STEM.”

Applied Sustainability Engineering, the second course in the "Applied Sustainability for Technical Managers" specialization discusses the techniques used by engineers and scientists to develop and assess the environmental impact of products and processes required to make those products. It begins with a discussion of different renewable energy technologies and their economics – highlighting how continued reductions in cost have made wind and solar power the least expensive way to generate electricity. It then addresses carbon footprints and how they are determined, applying a practical example where you determine your residential and transportation carbon footprints. From there, the course transitions to defining sustainable and circular products and packaging and showing several examples. As Technical Managers, you'll need metrics for determining whether a product is truly sustainable, so the courses introduce techniques such as Life Cycle Assessment (LCA), Streamlined LCA (S-LCA), and the Eco-Audit methodologies. The course concludes with an overview of sustainable product design frameworks, including Cradle-to-Cradle, Design for the Circular Economy, and Biomimicry, just to name a few. This course was developed in collaboration with Siemens Digital Industries Software. Learners who complete and pass the course can receive an industry-recognized digital badge. This course is very practical, introducing you to several areas critical to managing and learning about sustainability initiatives, from assessing the environmental and social impacts of a product or process, to designing more sustainable and circular products. If you want to work towards having a positive impact on the planet and on society, then this course is for you! This course can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Introduces number-theory based cryptography, basics of quantum algorithms and advanced data-structures. This course can be taken for academic credit as part of CU Boulder's Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

This course will provide different techniques on the verification of autonomous systems against stability, regular, or omega-regular properties. Such techniques include Lyapunov theories, reachability analysis, barrier certificates, and model checking. Finally, it will introduce several techniques on designing controllers enforcing properties of interest over the original autonomous systems. This course can be taken for academic credit as part of CU Boulder's Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

Operations management involves the strategic use of company resources to create value and meet market demands. As customer expectations evolve, there is a growing emphasis on the environmental impact of the products we design and manufacture. Innovative companies such as Siemens Digital Industries Software recognize this need and have partnered with the University of Colorado Boulder to create this course that equips you with the knowledge and skills to implement sustainable operations management practices. In Sustainable and Resilient Operations Management, you will explore concepts such as the circular economy, focusing on minimizing waste and maximizing resource efficiency. The course is for anyone who is interested in how companies can responsibly design products and operational processes to reduce waste and become more circular. This course was developed in collaboration with Siemens Digital Industries Software. Learners who complete and pass the course can receive an industry-recognized digital badge. This course can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

This is the first out of three courses exploring Internet Policy: Principles and Problems. This course builds an interdisciplinary policy framework to critique and develop regulatory and policy approaches to real-world problems on the Internet. Learners then use the framework to develop policy solutions to improve the Digital Divide and to evaluate net neutrality regulations. This course can be taken for academic credit as part of CU Boulder's MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer- science-boulder