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Welcome to Sustainable Cities Case Studies, the third and final course in the Building Sustainable Cities Specialization. This course is intended to build upon fundamental concepts and ideas developed in the previous two courses. Upon completing Sustainable Cities Case Studies, you will be able to analyze and evaluate practical strategies for urban sustainability and resilience in context. You will gain insights by exploring significant events and locations, such as the August 2023 wildfire on Maui. You will also examine the effects of transit-oriented development in Washington DC, the development of bicycle infrastructure in Copenhagen, and urban agriculture in Singapore. These case studies will provide a diverse understanding of how different cities address sustainability and resilience challenges. You will benefit from a comprehensive understanding of best practices in urban sustainability and climate resilience, using real-world examples to inform and put this knowledge into context. You will develop a vision for creating sustainable and resilient cities in the future, focusing on practical, actionable strategies. Sustainable Cities Case Studies uniquely integrates diverse global perspectives, providing you with the tools to assess and formulate plans that address ecological, policy, and social contexts, ultimately preparing you to contribute effectively to urban resilience initiatives.

Companies are facing pressures from governments, investors, and other stakeholders to become more sustainable. At the same time, customers are demanding more circular products. Companies are also expected to meet internal environmental, social, and governance (ESG) goals while remaining profitable. Innovative companies such as Siemens Digital Industries Software recognize these challenges and have partnered with the University of Colorado Boulder to create this course that equips you with the knowledge and skills to build more sustainable and resilient supply chains. In “Developing and Managing Sustainable Supply Chains”, which is the second course in the Sustainable and Resilient Operations and Supply Chains Specialization, you will explore the integration of sustainable practices throughout the supply chain, from raw material sourcing to end-of-life management , while understanding the environmental, social, and governance (ESG) implications of these operations. The course emphasizes cutting-edge technologies such as AI and digital twins to drive efficiency and sustainability, with dedicated modules on carbon footprint reduction, fleet electrification, and circular supply chains. Through real-world case studies, peer discussions, and practical applications, you will develop skills that align with corporate sustainability strategies and be able to contribute to a more sustainable global supply chain. 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. eg This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.

This course is tailored for networking professionals ready to advance their knowledge of routing and switching. It covers essential topics like static and dynamic routing, giving you a thorough understanding of routing protocols such as RIP, EIGRP, and OSPF. You will learn how to configure connected routes, manage routing metrics, and explore advanced features like summarization and equal-cost multi-path (ECMP). Throughout the course, lab demos provide practical examples that solidify these complex concepts. The switching section delves into Virtual Local Area Networks (VLANs), explaining their design and implementation, from trunk ports to Dynamic Trunking Protocol (DTP) and VLAN Trunking Protocol (VTP). You will also explore inter-VLAN routing and Layer 3 switching, crucial for building scalable, high-performance networks. The course includes in-depth coverage of the Spanning Tree Protocol (STP) and Hot Standby Router Protocol (HSRP), equipping you with the knowledge to manage network redundancy and prevent switching loops. This hands-on course prepares you to troubleshoot complex connectivity issues and manage dynamic routing protocols in real-world scenarios. By the end, you'll have mastered advanced routing and switching techniques, laying the groundwork for expert-level Cisco certification and network management roles. This course is ideal for networking professionals with a basic understanding of Cisco devices and routing. It is recommended for those aiming to deepen their expertise in routing and switching, especially those preparing for advanced Cisco certifications.

Begin your journey by exploring the mathematical foundations that are crucial to understanding quantum mechanics. From probability theory and complex numbers to matrices and linear transformations, this course builds a strong framework, ensuring that each concept is connected to real-world applications in quantum computing. This section helps you distinguish between classical and quantum systems, emphasizing their operational differences. The next part of the course delves into quantum mechanics with an introduction to qubits—the fundamental unit of quantum information. You will learn about the principles that differentiate qubits from classical bits, such as superposition, interference, and entanglement. Key mathematical notations like Braket will be explored to solidify your understanding of how quantum states are represented and manipulated. Finally, the course concludes with an in-depth look at advanced quantum concepts like multi-qubit systems. By the end of this course, you will have developed a well-rounded understanding of both the mathematical tools and quantum principles that are essential for anyone entering the field of quantum computing. This course is designed for students, professionals, and enthusiasts with a background in mathematics or computer science. Familiarity with basic algebra, statistics, and probability is recommended but not required.

This course guides you through the most important structural design patterns in modern C++, starting with an introduction to core concepts like design patterns, SOLID principles, and UML class diagrams. You'll explore a wide range of patterns, including Adapter, Façade, Proxy, and others, with step-by-step explanations. Each module introduces a pattern, presents real-world examples, and provides implementation strategies. You'll learn how to apply these patterns in practical scenarios, such as designing game input interfaces, implementing console projects, and optimizing resource usage with proxies. By analyzing each pattern's pros and cons, you'll gain insights into when and why to use each approach in your own software projects. The course also focuses on enhancing performance and modularity, showing how design patterns reduce code complexity and promote reuse. As you progress, you'll deepen your understanding of advanced C++ concepts, such as smart pointers, shared resources, and pattern-specific idioms. By the end of the course, you'll be able to confidently apply these patterns to create scalable, maintainable applications, mastering the art of high-level design in modern C++. This course is designed for intermediate to advanced C++ developers familiar with object-oriented programming principles. A basic understanding of C++ syntax and familiarity with coding projects is recommended. No previous experience with design patterns is required.

This course is a powerhouse of 120 quick tips designed to make your use of Stata more efficient and impactful. Covering five main areas, the course starts with essential data management techniques, from creating code books and handling variables to comparing datasets. You'll learn how to streamline your work with techniques for verifying data, creating publication-quality tables, and exporting regression results. Each lesson is focused on practical skills that you can apply immediately to optimize your data analysis. The course then transitions to statistical and programming strategies that help you handle complex models, visualize results, and avoid common pitfalls. Whether it's reducing collinearity in polynomial variables or bootstrapping regressions, the tutorials emphasize problem-solving and real-world application. Advanced techniques such as hiding unwanted output or using loops over non-integer values ​​are included to automate and accelerate your workflows. Finally, the course covers graphing and visualization, teaching you how to recover data from graphs, apply custom color schemes, and display correlation matrices as graphical tables. By the end of the course, you'll have a thorough understanding of how to use Stata to its full potential, whether you're handling massive datasets or creating polished reports for publication. This course is aimed at intermediate to advanced Stata users who are looking to enhance their data analysis and visualization skills. A basic understanding of Stata is recommended. Ideal for data analysts, researchers, statisticians, and anyone working with large datasets in a professional environment.

Step into the world of finance with Python as your primary tool. This course starts with a thorough introduction to Python, covering essential programming concepts like variables, loops, and functions. You'll become proficient in handling data types, creating iterations, and applying Python's syntax to real-world problems. With hands-on experience in Jupyter notebooks, you'll quickly grasp the fundamentals needed for financial applications. The second phase dives deep into financial analysis, leveraging Python to calculate returns, measure risk, and run complex models like Markowitz portfolio optimization. You'll learn how to use regression analysis to interpret market trends and make data-backed investment decisions. By integrating Python's advanced tools, you can analyze large datasets with precision, allowing for more accurate forecasts and financial assessments. As the course progresses, you'll explore sophisticated techniques like the Capital Asset Pricing Model (CAPM) and Monte Carlo simulations. These powerful tools will equip you to evaluate investment opportunities and optimize decision-making. By the end, you'll not only understand finance but also be able to programmatically implement financial strategies using Python. This course is designed for finance professionals, data analysts, and students with a fundamental understanding of mathematics. Familiarity with basic finance concepts is recommended, but no prior programming experience is required.

Unlock the full potential of Jq command in Bash shell scripting with this detailed and structured course. Beginning with a solid introduction to the Jq command, you'll explore key concepts such as installation, working with REST APIs, and understanding input/output mechanics. You'll also learn how to pass JSON data into scripts and use basic filters effectively. As you progress, you'll dive into more advanced topics like handling arrays, constructing JSON objects, and utilizing key functions such as length, min, max, and del. The course also covers conditional statements and demonstrates how to manage JSON data with Linux, Unix, and Mac variables, providing practical examples like string concatenation, arithmetic operations, and handling environment variables. By the end, you will be able to combine filters, work with pipes, and use the Jq command seamlessly with Kubernetes and REST APIs. This course not only equips you with technical know-how but also ensures you can apply these skills in real-world scenarios to optimize your shell scripting workflows. This course is ideal for developers, system administrators, and DevOps engineers who work with JSON data in a Unix-like environment. Basic familiarity with Bash scripting and JSON is required to fully benefit from the lessons.

Quantum computing is revolutionizing the tech world, and this course is designed to guide you through this emerging field. You'll begin with fundamental concepts, exploring classical and quantum gates, entanglement, and circuit creation using Qiskit. These hands-on exercises will give you the skills to build and run quantum circuits on simulators and real IBM quantum computers. As the course progresses, you'll delve into some of the most important algorithms that define quantum computing's potential. Learn about teleportation, superdense coding, and algorithms such as Bernstein-Vazirani, Deutsch, and Grover's, implementing each in Qiskit. This step-by-step journey builds your understanding of how these algorithms work and how they outperform classical counterparts. Finally, the course wraps up with Shor's algorithm and Quantum Fourier Transform, preparing you to apply quantum computing in real-world problem-solving scenarios. By the end of the course, you'll be equipped to navigate the future of quantum technologies and contribute to cutting-edge research or applications. This course is aimed at professionals and students with a fundamental knowledge of linear algebra and classical computing. Experience with Python is recommended, as Qiskit relies heavily on Python programming.

Dive deep into Solidity's core data structures in this advanced course that builds on fundamental knowledge of smart contract programming. Starting with constructors, you'll explore how to initialize smart contracts and manage state variables. The course transitions to mastering arrays in Solidity, covering crucial methods like push, pop, and length, as well as array manipulation techniques such as deletion and compacting arrays. Next, you'll learn to work with enums, structs, and mappings, essential components for creating more complex and efficient smart contracts. The course includes hands-on exercises to practice writing custom data types and associating values ​​with mappings, and you'll solve real-world coding challenges along the way. Enums and structs are covered in detail, showing how to group data and define custom types, preparing you to write more structured and maintainable contracts. Lastly, the course dives into nested mappings and the assignment of structs within mappings, a powerful tool for developing scalable and secure contracts. By the end, you will have mastered the tools needed to work with advanced Solidity data structures, laying a solid foundation for further exploration of blockchain development. This course is designed for developers with a basic understanding of Solidity and blockchain development. Prerequisites include familiarity with smart contracts, basic Solidity syntax, and introductory data structures.

This course offers a comprehensive guide to creating intelligent chatbots using Amazon Lex. It begins with an introduction to Amazon Web Services (AWS), explaining how cloud services can enhance chatbot development. You'll explore key AWS offerings, their flexibility, and scalability, and learn the core components of building and deploying chatbots. The journey starts with understanding the basics of Amazon Lex bots, their architecture, and their integration within the AWS ecosystem. As you advance, the course delves deeper into the technicalities of chatbot creation, connecting Lex with AWS Lambda and Twilio. You'll gain insights into how to manage intents, slots, and utterances to create a seamless user experience. Through hands-on examples, you'll learn to develop and test various chatbot components, set up response cards, and handle custom slot types, ensuring your bots can respond efficiently to user inputs. By integrating Lambda functions, you'll enhance chatbot functionality, enabling dynamic and context-aware interactions. Towards the course's conclusion, you'll deploy your chatbot across platforms, including websites and WhatsApp, using tools like Twilio and Communicate.io. You'll also explore Python's Boto library for code-based deployment. By the end, you will have mastered chatbot building, testing, and deployment strategies, ready to create powerful AI-driven bots for business or personal use. This course is ideal for developers, AI enthusiasts, and technical professionals interested in creating chatbots using Amazon Lex. Basic knowledge of AWS and Python is recommended.

This course provides a comprehensive guide to mastering Visual Studio Code for C# developers. Starting with an introduction to the basics of VS Code, you'll learn how to set up the editor, configure settings, and familiarize yourself with the interface. Each section focuses on a specific skill set, from installing .NET SDK to understanding extensions that enhance coding efficiency. As you progress, the course dives into the practical aspects of coding with VS Code, including creating and managing .NET projects, building and debugging your applications, and refactoring code for better performance. You'll also explore key editing features like multi-cursor support, formatting options, and keyboard shortcuts to improve coding speed and accuracy. Each concept is demonstrated through hands-on projects, ensuring a deep understanding of Visual Studio Code's full potential. By the end of this course, you will have mastered essential tools for navigating large codebases, using Git for version control, and leveraging VS Code extensions to enhance your C# development experience. This course is a must for any developer looking to sharpen their Visual Studio Code expertise and streamline their C# projects. This course is designed for C# developers with a basic understanding of programming and object-oriented concepts. Familiarity with .NET Core and Visual Studio Code is helpful but not required, as the course provides a step-by-step guide from setup to advanced usage.