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In Network Principles in Practice: Cloud Networking, you will learn about both the networking abstractions and services for building applications in the cloud, and the technology underlying cloud networking. You will be able to architect complex applications in the cloud. In understanding how the cloud providers created their networks, you will be in a better position to troubleshoot applications and analyze different possible ways of architecting applications, and even help design the next generation of networking for cloud providers. 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 Course logo by Jordan Harrison on Unsplash.

Introduction to Computer Vision guides learners through the essential algorithms and methods to help computers 'see' and interpret visual data. You will first learn the core concepts and techniques that have been traditionally used to analyze images. Then, you will learn modern deep learning methods, such as neural networks and specific models designed for image recognition, and how it can be used to perform more complex tasks like object detection and image segmentation. Additionally, you will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology. This course can be taken for academic credit as part of CU Boulder's MS in Computer Science degree 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: https://coursera.org/degrees/ms-computer-science-boulder.

The ADVANCEing FieldSafety course provides field research team leaders and field team participants with the skills and tools to build a welcoming and inclusive field culture. This course will help you and your team develop norms and codes of conduct, and review or clarify leadership and field team organization. Additionally, you and your team will learn how to identify unsafe and harmful behaviors, respond appropriately to dissipate and mitigate these behaviors, and support those impacted by the behaviors. Finally, the course will provide tools to create, build and support inclusive mentorship, consider additional factors for mitigating risk to diverse individuals in the field, and how to build cultural inclusivity within your team. ADVANCEING FieldSafety provides tools to address a growing awareness of the challenges of working (far) away from support networks and resources traditionally found at home. A deliberate approach to managing behaviors and hazards in the field can keep every individual safe and the team performing. ADVANCEing FieldSafety is designed for every member of research teams operating in field environments, from seasoned academics, technical support staff to undergraduates.

This course explores and critically analyzes historical and contemporary climate policies (eg Kyoto Protocol and the Paris Agreement). Political issues pertaining to energy sources, such as nuclear energy, will be reviewed. The course will focus on understanding key climate principles and terms surrounding policy development, specifically for low-income or developing countries/communities. Further, this course explores up-to-date technologies that are used in climate analysis. This course can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers 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

This course introduces the use of statistical analysis in Python programming to study and model climate data, specifically with the SciPy and NumPy package. Topics include data visualization, predictive model development, simple linear regression, multivariate linear regression, multivariate linear regression with interaction, and logistic regression. Strong emphasis will be placed on gathering and analyzing climate data with the Python programming language. This course can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers 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

This course introduces how to perform abstraction of genetic circuit models. The first module teaches reaction-based abstraction methods that apply steady-state approximations to reduce the complexity and improve the analysis time of these models. The second module describes piecewise approximations to simplify non-linear reaction-based models of genetic circuits. The third module presents Markov chain models and methods for analyzing them. The fourth module provides methods to abstract models even further using state-based abstraction methods. Finally, the fifth module demonstrates methods, such as infinite-state stochastic model checking, to determine the likelihood that a genetic circuit hazard will cause circuit failure. This course can also be taken for academic credit as ECEA 5935, part of CU Boulder's Master of Science in Electrical Engineering.

Have you ever wondered why sports are such a big deal in the United States? Or why American's don't love futbol (soccer) as much as the rest of the world? This course investigates the multi-billion dollar sports industry as a way to discern American cultural values. Themes we will explore: -- Sports media's glorification of sport -- America's religious-like fandom -- The "sport as war" frame and the implications -- Gender, racial, and political systems of power This course will open your eyes to the power of sport as a cultural institution. You'll analyze the discourses of sports culture and apply critical thinking to your personal experiences with sports. Whether you're a sports fanatic or a curious learner, this course will instill a deeper understanding of American values ​​and how they play out on the field.

Leading the Circular and Sustainable Business is the third and final course in the specialization, Applied Sustainability for Technical Managers. This course focuses on the business case for sustainability. It begins by defining a sustainable business, one that is inclusive of all stakeholders and how new organizational structures support the sustainable enterprise, enabling the business to go beyond corporate social responsibility (CSR) initiatives. The course highlights sustainable operations and supply chains, recognizing sustainable products need to be manufactured using environmentally and socially responsible practices. Companies are increasingly marketing products as "green", and the course discusses truthful advertising, greenwashing, and the value of 3rd-party certifications. Sustainable finance is introduced through the lens of the Triple Bottom Line (TBL), using the Environmental P&L to illustrate a company's environmental costs. ESG (Environmental, Social and Governance) is increasingly important today, and companies are communicating their progress through Sustainability reports. The course explores how to read a sustainability report, as well as methodologies to generate them, including GRI and CSRD. The course closes with a discussion of Sustainability Leadership, from starting your own business to effectively communicating with upper management. This course is about empowerment, providing you with the knowledge and tools to be more sustainable in your daily life, in the community where you live, and in the company where you work. 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.

An applied analysis and design class that addresses the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design and modeling notations. Students apply techniques in analysis and design projects. Focus is on key object-oriented elements and concepts. 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

Resilience & Leadership: Design, Development, & Integration is the third course of the 'Resilience Engineering and Leadership in Crisis' specialization. This course organizational emphasizes the importance of practices like learning and adaptive change management amid uncertainty. Resilience engineering principles and strategies are combined with critical leadership knowledge and skills essential to navigating unanticipated catastrophic disruptions. Learners will integrate selective assignments from the previous courses in this specialization (Resilience & Leadership: Concepts, Definitions, & Frameworks, and Resilience & Leadership: Tools, Methods, & Applications) to construct a comprehensive resilience report using the project scenario they identified in Course 1. 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.

Welcome to Climate Resilience and Urban Sustainability, the first course in the Building Sustainable Cities Specialization. By completing Climate Resilience and Urban Sustainability, you will gain the ability to apply a comprehensive toolkit of case studies to address urban resilience and sustainability. You will be empowered to create and advocate for policy, technological, and other changes aimed at improving these outcomes within their communities. You will also develop the skills to analyze and understand the origins, causes, and consequences of current sustainability and resilience challenges. You will benefit from a deeper understanding of the challenges cities face today, particularly in the context of global climate change and social equity. The course provides insights into the history of land use and urban development in the United States, highlighting the rise of automobile dependence and the impact of fossil fuels. It also explores the policies and politics that contribute to unsustainable development patterns. What makes this course unique is its focus on practical application. Through quizzes and real-world examples, you will engage with topics such as urban heat, flood risk, and climate costs, gaining the knowledge needed to identify and address these issues in your own community. The course also covers innovative planning frameworks like New Urbanism and Smart Growth, offering you a forward-thinking approach to urban development.

Welcome to Policy, Technology, and Carbon Free Cities, the second course in the Building Sustainable Cities Specialization. This course is intended to build upon fundamental concepts introduced in the first course, Climate Resilience and Urban Sustainability. Through Policy, Technology, and Carbon Free Cities, you will gain the ability to apply a comprehensive toolkit of policy and technology innovations to bolster community resilience. You will develop strategies to implement urban sustainability and climate resilience policies effectively and evaluate opportunities to enhance your community through innovative approaches. You will benefit from an in-depth understanding of sustainability practices through case studies and learn how these can be scaled to larger communities. The course uniquely emphasizes the role and authority of local governments and citizens in decision-making processes, equipping you with the skills to engage the public effectively. Policy, Technology, and Carbon Free Cities stands out by offering insights into cutting-edge and traditional technologies that drive sustainability and resilience. Through interviews with experts and real-world examples, you will explore diverse strategies, including carbon removal and smart city innovations. Additionally, the course examines the impact of local policies on urban development and public health, providing a holistic view of sustainable urban planning. By the end, you will be prepared to create a vision for future cities, leveraging smart technologies and policy innovations to address climate challenges.