Connecting Devices to People and Systems. Methods, protocols, and prototyping for UI/UX design of embedded and IoT devices

3.8

estrellas

12 calificaciones

Bruce Montgomery, PhD, PMP

ofrecido por

Programa especializado: Embedded Interface DesignUniversidad de Colorado en Boulder

Qué aprenderás

User experience (UX) and user interface (UI) design considerations and methods for embedded devices and systems

Machine-to-machine (M2M) and internet of things (IoT) protocols and architectures, including leveraging cloud platforms for system designs

Rapid prototyping for embedded devices to explore interface and system designs, leveraging UI tools, single-board computers, sensors, and the cloud

Habilidades que obtendrás

User Interface Design (UI Design)
Rapid Prototyping
User Experience (UX)
Software Development
Internet Of Things (IOT)
UX and user research
UX and UI design
UX verification and validation
Project planning and analysis
Design of embedded devices
Qt and HTML Interfaces
cloud connected systems

Acerca de este Programa Especializado

The objective of this specialization is to provide an understanding of interface design approaches and architectures for creating solid user experiences in embedded system prototypes and products. For both machine and user interfaces, we will look at the best practices for the interface design process, including considerations of the nature and content of interaction, whether between devices, between a device and a user, or in more complex systems.

Proyecto de aprendizaje aplicado

Projects provide experience in using key UX design methods, prototyping software-based embedded GUIs, and leveraging the cloud for prototyping IoT system elements while leveraging a wide array of functionality. Software elements include Python, Node.JS, Qt, HTML, and AWS.

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel intermedio

Basic programming skill in Python, C, or other languages. Understanding of basic computer and embedded architectures, including IP networking.

Aproximadamente 4 meses para completarse

Ritmo sugerido de 2 horas/semana

Inglés (English)

Subtítulos: Inglés (English), Francés (French), Portugués (europeo), Ruso (Russian), Español (Spanish)

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel intermedio

Basic programming skill in Python, C, or other languages. Understanding of basic computer and embedded architectures, including IP networking.

Aproximadamente 4 meses para completarse

Ritmo sugerido de 2 horas/semana

Inglés (English)

Subtítulos: Inglés (English), Francés (French), Portugués (europeo), Ruso (Russian), Español (Spanish)

Cómo funciona el programa especializado

Toma cursos

Un programa especializado de Coursera es un conjunto de cursos que te ayudan a dominar una aptitud. Para comenzar, inscríbete en el programa especializado directamente o échale un vistazo a sus cursos y elige uno con el que te gustaría comenzar. Al suscribirte a un curso que forme parte de un programa especializado, quedarás suscrito de manera automática al programa especializado completo. Puedes completar solo un curso: puedes pausar tu aprendizaje o cancelar tu suscripción en cualquier momento. Visita el panel principal del estudiante para realizar un seguimiento de tus inscripciones a cursos y tu progreso.

Proyecto práctico

Cada programa especializado incluye un proyecto práctico. Necesitarás completar correctamente el proyecto para completar el programa especializado y obtener tu certificado. Si el programa especializado incluye un curso separado para el proyecto práctico, necesitarás completar cada uno de los otros cursos antes de poder comenzarlo.

Obtén un certificado

Cuando completes todos los cursos y el proyecto práctico, obtendrás un Certificado que puedes compartir con posibles empleadores y tu red profesional.

Hay 3 cursos en este Programa Especializado

Curso1

Curso 1

UX and Interface Design for Embedded Systems

This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree.

UX and Interface Design for Embedded Systems is the first of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This first course is focused on user experience (UX) and the related methods, practices, and principles that will help ensure your embedded interface designs for devices and systems are what your users both need and want. The class includes an introduction to UX, and then a four phase breakdown of a typical UX design process, including planning, user research, design methods, and testing for verification and validation. Much of the content provides generally applicable UX techniques, but particular focus is included for considerations in developing embedded devices. The class includes practical projects that let you try some of the key methods in a thorough interface design process.

Curso2

Curso 2

Rapid Prototyping of Embedded Interface Designs

This course can also be taken for academic credit as ECEA 5347, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Rapid Prototyping is the second of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on rapid prototyping of devices and systems and the related methods, practices, and principles that will help ensure your embedded interface designs are what your users both need and want. The class includes an introduction to rapid prototyping, prototyping device and system user interfaces, prototyping devices, and design considerations and perspectives for devices. The content ranges from general design best practices to specifics for embedded devices of different types and specific flavors of user interfaces, but all are presented to support developing embedded devices. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using Qt and HTML. This course can be taken for academic credit as ECEA 5347, part of CU Boulder's Master of Science in Electrical Engineering degree.

Curso3

Curso 3

M2M & IoT Interface Design & Protocols for Embedded Systems

This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree.

M2M and IoT Interface Design and Protocols is the third of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design. This course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices to consumers. The class includes an introduction to M2M (Machine-to-Machine) and IoT (Internet of Things) concepts, using the cloud to develop IoT systems (specifically AWS (Amazon Web Services) and its IoT framework), a review of common communications protocols at every level of connected devices, and other IoT design concerns such as security, message queuing approaches, and the use and design of APIs and microservices . The content ranges from general design best practices to specifics for select tools and methods, but all are presented to support developing embedded devices in IoT applications. The class includes practical projects that let you try some of standard methods in software development of prototype graphical user interfaces for devices using AWS, Python, and optionally Node.JS. This course can be taken for academic credit as ECEA 5348, part of CU Boulder's Master of Science in Electrical Engineering degree.

Instructor

Bruce Montgomery, PhD, PMP

Sr. Instructor

Electrical, Computer, and Energy Engineering

4521 alumnos

3 cursos

ofrecido por

Universidad de Colorado en Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

Preguntas Frecuentes

¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Puedo inscribirme en un solo curso?
¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando cancelas la suscripción de un curso que forma parte de un programa especializado, se cancela automáticamente la suscripción de todo el programa especializado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
¿Puedo tomar este curso de manera gratuita?
Cuando te inscribes en el curso, tienes acceso a todos los cursos del programa especializado y obtienes un certificado cuando completas el trabajo. Si solo deseas leer y ver el contenido del curso, puedes participar del curso como oyente de manera gratuita. Si no puedes pagar la tarifa, puedes solicitar ayuda económica.
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.
¿Cuánto tiempo se necesita para completar un programa especializado?
There are three courses in the specialization: UI and UX, Rapid Prototyping, and M2M & IoT Protocols - each will take 4 to 5 calendar weeks, not including the final exam.
What background knowledge is necessary?
You should be comfortable in programming and basic computer architecture. The two classes with programming assignments use Python and Node.JS, but if you are an experienced C programmer that hasn't used these languages (as with many on campus students), the languages are easy to pick up and use. We do not teach Python or Node.JS in the class, but we do include some references and examples.
Do I need to take the courses in a specific order?
It is recommended (but not required) to take the Rapid Prototyping course before the M2M & IoT Protocols course, as the programming examples will build on themselves more naturally.
¿Recibiré crédito universitario por completar el programa especializado?
Optionally, the three courses can be taken for academic credit as part of CU Boulder's Master of Science in Electrical Engineering degree and related certificate programs.
What will I be able to do upon completing the Specialization?
The courses ideally support your own development of interfaces from embedded devices to people, systems, and other devices. Interfaces you'll be able to create include physical device controls, interactive graphic UIs, APIs and messaging interfaces, and connections to mobile, web, and cloud based systems. You'll get some experience with common UX design techniques, UI tools like Qt and HTML, and developing Python and Node.JS to make message-based connections to Amazon Web Services, a typical IoT cloud framework.

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