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Real-Time Mission-Critical Systems Design
This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). This will be achieved not only by study of design methods and patterns for mission critical systems, but also through implementation of soft real-time systems and comparison to hard real-time.
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Course by
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Self Paced
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50 ساعات
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الإنجليزية
Developing Industrial Internet of Things
The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment.
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Self Paced
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الإنجليزية
FPGA Design for Embedded Systems
The objective of this course is to acquire proficiency with Field Programmable Gate Arrays (FPGA)s for the purpose of creating prototypes or products for a variety of applications. Although FPGA design can be a complex topic, we will introduce it so that, with a little bit of effort, the basic concepts will be easily learned, while also providing a challenge for the more experienced designer. We will explore complexities, capabilities and trends of Field Programmable Gate Arrays (FPGA) and Complex Programmable Logic Devices (CPLD).
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Self Paced
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الإنجليزية
Real-Time Embedded Systems
The Real-Time Embedded Systems specialization is a series of four course taking you from a beginning practitioner, to a more advanced real-time system analyst and designer. Knowledge and experience gained on hard to master topics such as predictable response services, when to allocate requirements to hardware or software, as well as mission critical design will enhance your engineering talent.
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Self Paced
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الإنجليزية
An Introduction to Programming the Internet of Things (IOT)
Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms. This Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.
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Course by
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Self Paced
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الإنجليزية
C Programming: Language Foundations - 2
In this course you will learn to use logical statements and arrays in C. Logical statements are used for decision-making with follow-up instructions, based on conditions you define. Arrays are used to store, keep track of, and organize larger amounts of data. You will furthermore implement some fundamental algorithms to search and sort data. Why learn C? Not only is it one of the most stable and popular programming languages in the world, it's also used to power almost all electronic devices.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Embedding Sensors and Motors
The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. Embedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data.
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Course by
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Self Paced
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الإنجليزية
Real-Time Embedded Systems Concepts and Practices
This course can also be taken for academic credit as ECEA 5315, part of CU Boulder’s Master of Science in Electrical Engineering degree. Course Description: In this course, students will design and build a microprocessor-based embedded system application using a real-time operating system or RT POSIX extensions with Embedded Linux.
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Course by
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Self Paced
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51 ساعات
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الإنجليزية
Capstone: Autonomous Runway Detection for IoT
Finally! You will learn how to motivate engineering decisions and how to choose implementations to make a system actually running! This capstone project course ties together the knowledge from three previous courses in IoT though embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. You will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment.
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Course by
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Self Paced
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30 ساعات
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الإنجليزية
Development of Real-Time Systems
This course is all about practical programming and problem-solving! After completing this course, you will have the knowledge to plan and set up a real-time system both on paper and in practice. The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements. Examples of such systems include airbags, emergency breaks, avionics, and also multi-media systems like video playback and QoS in web servers. The course teaches how to plan real-time systems, in theory, using established mathema
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Course by
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Self Paced
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19 ساعات
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الإنجليزية
Device-based Models with TensorFlow Lite
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
The Arduino Platform and C Programming
The Arduino is an open-source computer hardware/software platform for building digital devices and interactive objects that can sense and control the physical world around them. In this class you will learn how the Arduino platform works in terms of the physical board and libraries and the IDE (integrated development environment). You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Introduction to the Internet of Things and Embedded Systems
The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Introduction to FPGA Design for Embedded Systems
This course can also be taken for academic credit as ECEA 5360, part of CU Boulder’s Master of Science in Electrical Engineering degree. Programmable Logic has become more and more common as a core technology used to build electronic systems. By integrating soft-core or hardcore processors, these devices have become complete systems on a chip, steadily displacing general purpose processors and ASICs. In particular, high performance systems are now almost always implemented with FPGAs.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Introduction to Embedded Systems Software and Development Environments
Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Real-Time Project for Embedded Systems
This course can also be taken for academic credit as ECEA 5318, part of CU Boulder’s Master of Science in Electrical Engineering degree. The final course emphasizes hands-on building of an application using real-time machine vision and multiple real-time services to synchronize the internal state of Linux with an external clock via observation. Compare actual performance to theoretical and analysis to determine scheduling jitter and to mitigate any accumulation of latency.
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Course by
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Self Paced
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49 ساعات
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الإنجليزية