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Rapid Prototyping of Embedded Interface Designs

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Rapid Prototyping of Embedded Interface Designs

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Gain insight into a topic and learn the fundamentals.
Intermediate level

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1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree

What you'll learn

  • Describe the principles, guidelines, and contributors required for developing embedded devices and products.

  • Identify best practices and considerations for effective GUI design.

  • Consider and differentiate options for operating systems on connected embedded device prototypes and products

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Embedded Interface Design Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

An introduction to rapid prototyping of embedded devices and interfaces. Includes a review of prototyping; approaches, goals, fidelity, and other concerns. Also a look at the embedded device product development cycle and how it relates to prototyping, as well as special considerations for prototypes and products that use wireless communications. Includes a brief review of the class programming assignments for prototyping Qt and HTML interfaces as used for embedded devices, and pre-project preparation suggestions.

What's included

8 videos3 readings1 assignment1 discussion prompt

8 videosβ€’Total 74 minutes
  • Introduction to Instructorβ€’4 minutes
  • Introduction to Embedded Interface Designβ€’9 minutes
  • Introduction to Rapid Prototypingβ€’2 minutes
  • Rapid Prototypingβ€’22 minutes
  • Product Developmentβ€’13 minutes
  • RF Designβ€’15 minutes
  • Introduction to Course Projectsβ€’4 minutes
  • Module Wrap-Upβ€’5 minutes
3 readingsβ€’Total 21 minutes
  • Course Updates and Accessibility Supportβ€’1 minute
  • Non-Credit Students: Welcome and Where to Find Helpβ€’10 minutes
  • Pre-project preparations for Class Projectsβ€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Rapid Prototyping, Product Development, RF Designβ€’30 minutes
1 discussion promptβ€’Total 5 minutes
  • Introduce Yourselfβ€’5 minutes

A review of the mechanics and methods of creating user interfaces for embedded devices and systems. We'll look at using Qt, HTML, and other tools for creating prototype and product interfaces. We'll consider best practices for GUI designs, and look at the microinteraction model, which helps isolate key interactions to create signature moments for our device designs. The first development project, developing a Qt interface with Python, is also part of this module.

What's included

7 videos1 assignment1 peer review

7 videosβ€’Total 70 minutes
  • Module Introductionβ€’2 minutes
  • QT-based User Interfacesβ€’14 minutes
  • HTML-based Interfacesβ€’12 minutes
  • Other UI Toolsβ€’11 minutes
  • Designing GUIsβ€’11 minutes
  • Microinteractionsβ€’14 minutes
  • Module Wrap-Upβ€’5 minutes
1 assignmentβ€’Total 30 minutes
  • Prototyping Device UIsβ€’30 minutes
1 peer reviewβ€’Total 60 minutes
  • Project 1: Qt GUI Developmentβ€’60 minutes

In this module we'll look at choosing elements for prototyping embedded devices. First a look at the Pugh Matrix for assessing alternative designs by examining ranked criteria, then a review of hardware platforms and supporting software operating systems that can combine to provide a prototype of a working embedded device or system. In particular, we'll look at the elements of FreeRTOS for microprocessor based prototypes that may need IoT or cloud connectivity. The second programming project, developing an HTML-based device interface is part of this module.

What's included

6 videos1 assignment1 peer review

6 videosβ€’Total 73 minutes
  • Module Introductionβ€’3 minutes
  • Pugh Matricesβ€’12 minutes
  • Alternative Prototyping Platformsβ€’16 minutes
  • Alternative Prototype Operating Systemsβ€’20 minutes
  • FreeRTOSβ€’16 minutes
  • Module Wrap-Upβ€’6 minutes
1 assignmentβ€’Total 30 minutes
  • Prototyping Embedded Devicesβ€’30 minutes
1 peer reviewβ€’Total 60 minutes
  • Project 2: HTML GUI Developmentβ€’60 minutes

This module examines various views of developing IoT and connected embedded devices and systems. We will consider the impact of data, its form, structure, and flow on designs, and we will consider some different perspectives on how we consider aspects of designs. We'll look at the use of Artificial Intelligence elements in developing networks of IoT devices, and we'll examine some specific design considerations foe wearable devices and voice user interfaces. Also in this module we'll perform peer reviews on the development performed earlier in the class to compare and contrast approaches for prototyping device UIs.

What's included

8 videos1 assignment1 peer review

8 videosβ€’Total 95 minutes
  • Module Introductionβ€’3 minutes
  • Designing with Dataβ€’13 minutes
  • Design Perspectivesβ€’14 minutes
  • Data Analysis and AI for IoT Networks β€’18 minutes
  • Designing Wearablesβ€’17 minutes
  • Designing Voice User Interfacesβ€’19 minutes
  • Module Wrap-Upβ€’6 minutes
  • Course Wrap-Upβ€’5 minutes
1 assignmentβ€’Total 30 minutes
  • Design for IoT Devicesβ€’30 minutes
1 peer reviewβ€’Total 60 minutes
  • Review Projects 1 and 2β€’60 minutes

Earn a career certificate

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Build toward a degree

This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.ΒΉ

Instructor

University of Colorado Boulder
6 Coursesβ€’17,547 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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