core Estimated learning time: 8 h

OE-9.1 Introduction to Embedded Systems

You can distinguish embedded from general-computing systems, classify embedded systems and their application areas, and reason about processor selection and design metrics.

An embedded system is defined by its constraints rather than its capabilities - fixed function, limited power, real-time deadlines, and a cost target that rules out generosity. Processor selection is therefore an engineering negotiation, not a search for the fastest part. Learn the design metrics (power, cost, size, performance, time to market) as the axes you will trade against for the rest of the course.

Work through these

  • Embedded systems versus general computing systems

    What makes a system embedded, set against the machine on your desk. The defining constraint is that it does one job and cannot be rebooted casually.

  • Classifications of embedded systems

    The families these systems fall into, by scale and by timing requirement. Real-time against not is the distinction that changes how you design.

  • Application areas

    Where they actually are, which is nearly everywhere. Read it for the range, because the range explains why the constraints vary so much.

  • Processor embedded into a system

    The processor as a component inside something larger rather than the point of the product. It is a change of perspective that the next item makes concrete.

  • Processor selection for an embedded system

    How you choose one, against requirements rather than benchmarks. Power and peripheral set usually decide it before speed does.

  • Embedded hardware units and devices in a system

    Everything on the board besides the processor. The peripherals are frequently what the design is really about.

  • Design metrics and challenges in embedded system design

    What you are optimising and what fights what. Cost, power, size and time to market pull against each other, and stating the trade is the design work.

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Links last checked 30 Aug 2026.

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