Основы проектирования приложений интернета вещей from Coursera

Интернет вещей - это не про устройства, подключенные к интернету. Интернет вещей - это глобальная инфраструктура, позволяющая физическим и виртуальным устройствам общаться между собой и взаимодействовать, решая общие задачи, точно также, как люди взаимодействуют и решают общие задачи в интернете людей. Чтобы общаться и взаимодействовать друг с другом, устройства должны быть достаточно умны. Тому, как создавать проекты с умными вещами, взаимодействующими через интернет, и посвящен данный курс. Он дает общий обзор всей технологической цепочки разработки приложений интернета вещей, организации процесса разработки и распределения ролей в команде проекта. Вы получите практическое представление о том, как эффективно решить свою проблему или проблему заказчика, используя возможности технологий интернета вещей, а также о том, как может быть устроена система, использующая эти технологии, и как ее сделать на практике. Курс разработан кафедрой технологического предпринимательства МФТИ-РОСНАНО совместно с АНО "еНано".

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Emphasizes the fundamental concept of the Internet of Things as an infrastructure for communication and collaboration between physical and virtual devices, akin to the Internet for humans

Provides a comprehensive overview of the entire technological chain involved in developing IoT applications, including organization, roles, and problem-solving strategies

Taught by instructors from the Moscow Institute of Physics and Technology (MIPT-ROSNANO), known for their expertise in technological entrepreneurship

Developed in collaboration with the Autonomous Non-profit Organization "eNano," highlighting the course's connection to industry and research

Reviews summary

Iot fundamentals: a solid introduction

This course on IoT app development covers the fundamentals of IoT infrastructure and project design. Suitable for beginners, it provides an overview of the IoT development process and the roles involved. Students appreciate the course's clarity and accessibility, although some note a lack of practical exercises.

Concepts are presented in an understandable manner.

"Всегда считал себя гуманитарием, но с удивлением обнаружил , что это не так... Достаточно всё доступно и понятно."

Introduces key IoT concepts and infrastructure.

"Курс действительно об основах. Сформируются Ваши представления о глобальной инфраструктуре ИВ, выучите понятия."

Minor grammatical errors in video lectures.

"Снижаю один балл за периодические опечатки в русских словах в видео ряде лекций."

Focuses on theory rather than hands-on practice.

"Здесь не будет практики и интересных заданий."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Основы проектирования приложений интернета вещей with these activities:

Review Internet of Things Concepts

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Start by reviewing basic concepts related to the Internet of Things to strengthen your foundation for this course.

Browse courses on Internet of Things

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Go over key terms and definitions in the Internet of Things
Describe the different components and technologies used in IoT systems
Review examples of real-world applications of the Internet of Things

Participate in IoT Discussion Forums

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Engage with fellow students and experts in online forums to discuss IoT concepts, share insights, and ask questions.

Browse courses on Online Communities

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Join IoT discussion forums on platforms like Reddit, LinkedIn, or Stack Overflow
Read through existing discussions and ask questions when you have them
Contribute to discussions by sharing your knowledge and insights

Follow Tutorials on IoT Development

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Seek out online tutorials to gain hands-on experience with IoT development tools and techniques used in this course.

Browse courses on IoT Development

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Find tutorials on platforms like Coursera, edX, or YouTube
Follow step-by-step instructions to build simple IoT projects
Experiment with different IoT hardware and software components

Three other activities

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Solve IoT Programming Challenges

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Engage in coding exercises and challenges to strengthen your programming skills for IoT development.

Browse courses on Python

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Find programming challenges on platforms like HackerRank or LeetCode
Solve challenges related to IoT data processing, device communication, and sensor integration
Analyze and optimize your code for efficiency and performance

Build a Resource Library for IoT Development

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Gather and organize a collection of resources that you find useful for IoT development to support your learning and future reference.

Browse courses on Tools

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Identify and collect relevant tools, libraries, tutorials, and documentation
Organize your resources into categories or topics
Share your resource library with others in the class or online

Build an IoT Prototype

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Put your knowledge into practice by designing and developing a prototype of an IoT device or system to demonstrate your understanding of IoT concepts.

Browse courses on Hardware

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Define the problem or need that your IoT device or system will address
Design the hardware and software components of your prototype
Build and test your prototype
Present your prototype to the class or a group of peers

Career center

Learners who complete Основы проектирования приложений интернета вещей will develop knowledge and skills that may be useful to these careers:

Internet of Things Developer

The Internet of Things (IoT) Developer designs, develops, and maintains IoT systems. This course provides a comprehensive overview of the IoT ecosystem, including the technologies, protocols, and architectures used to connect and manage IoT devices. Students will learn how to build IoT applications that can collect, analyze, and act on data from IoT devices. This course is particularly relevant to IoT Developers as it provides a solid foundation in the principles and practices of IoT development.

See salaries and explore the career path for Internet of Things Developer

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course provides a foundation in data analysis techniques and tools, including data visualization, statistical analysis, and machine learning. Students will learn how to use data to solve problems and make informed decisions. This course is particularly relevant to Data Analysts as it provides a strong foundation in the principles and practices of data analysis.

See salaries and explore the career path for Data Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. This course provides a framework for understanding the product development process, including market research, product design, and product launch. Students will learn how to create and manage product roadmaps, and how to work with engineering and marketing teams to bring products to market. This course is particularly relevant to Product Managers as it provides a comprehensive overview of the product development process.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course provides a foundation in software engineering principles and practices, including object-oriented programming, software design, and software testing. Students will learn how to build software systems that are reliable, scalable, and maintainable. This course is particularly relevant to Software Engineers as it provides a strong foundation in the principles and practices of software engineering.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts gather and analyze business requirements to identify and solve problems. This course provides a foundation in business analysis techniques and tools, including requirements gathering, process modeling, and data analysis. Students will learn how to use business analysis to improve the efficiency and effectiveness of organizations. This course is particularly relevant to Business Analysts as it provides a strong foundation in the principles and practices of business analysis.

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Systems Engineer

Systems Engineers design, develop, and maintain complex systems. This course provides a foundation in systems engineering principles and practices, including systems architecture, systems integration, and systems testing. Students will learn how to build systems that are reliable, scalable, and maintainable. This course is particularly relevant to Systems Engineers as it provides a strong foundation in the principles and practices of systems engineering.

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Project Manager

Project Managers plan, execute, and control projects. This course provides a foundation in project management principles and practices, including project planning, project execution, and project control. Students will learn how to manage projects effectively and efficiently. This course is particularly relevant to Project Managers as it provides a strong foundation in the principles and practices of project management.

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Quality Assurance Engineer

Quality Assurance Engineers ensure that software systems meet quality standards. This course provides a foundation in quality assurance principles and practices, including software testing, software inspection, and software metrics. Students will learn how to ensure that software systems are reliable, scalable, and maintainable. This course is particularly relevant to Quality Assurance Engineers as it provides a strong foundation in the principles and practices of quality assurance.

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Database Administrator

Database Administrators are responsible for the management and maintenance of databases. This course provides a foundation in database administration principles and practices, including database design, database performance tuning, and database backup and recovery. Students will learn how to manage databases effectively and efficiently. This course is particularly relevant to Database Administrators as it provides a strong foundation in the principles and practices of database administration.

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Network Engineer

Network Engineers design, develop, and maintain computer networks. This course provides a foundation in network engineering principles and practices, including network design, network security, and network troubleshooting. Students will learn how to build networks that are reliable, scalable, and secure. This course is particularly relevant to Network Engineers as it provides a strong foundation in the principles and practices of network engineering.

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Security Engineer

Security Engineers are responsible for the security of computer systems and networks. This course provides a foundation in security engineering principles and practices, including network security, cryptography, and security auditing. Students will learn how to build systems that are secure and resilient to attack. This course is particularly relevant to Security Engineers as it provides a strong foundation in the principles and practices of security engineering.

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Cloud Engineer

Cloud Engineers design, develop, and maintain cloud computing systems. This course provides a foundation in cloud computing principles and practices, including cloud architecture, cloud services, and cloud security. Students will learn how to build systems that are reliable, scalable, and secure. This course is particularly relevant to Cloud Engineers as it provides a strong foundation in the principles and practices of cloud engineering.

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Data Scientist

Data Scientists use data to solve problems and make decisions. This course provides a foundation in data science principles and practices, including data mining, machine learning, and data visualization. Students will learn how to use data to extract insights and make informed decisions. This course is particularly relevant to Data Scientists as it provides a strong foundation in the principles and practices of data science.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning systems. This course provides a foundation in machine learning principles and practices, including machine learning algorithms, machine learning models, and machine learning applications. Students will learn how to build machine learning systems that are accurate, efficient, and scalable. This course is particularly relevant to Machine Learning Engineers as it provides a strong foundation in the principles and practices of machine learning engineering.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop, and maintain artificial intelligence systems. This course provides a foundation in artificial intelligence principles and practices, including artificial intelligence algorithms, artificial intelligence models, and artificial intelligence applications. Students will learn how to build artificial intelligence systems that are intelligent, efficient, and scalable. This course is particularly relevant to Artificial Intelligence Engineers as it provides a strong foundation in the principles and practices of artificial intelligence engineering.

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