Overview

This program introduces the components and reasoning involved in intelligent engineering systems. Learners examine sensors, electronic logic, control, and integration before developing a simulation or appropriately supervised prototype. The emphasis is on testable design choices, evidence, and a clearly bounded contribution.

Learning goals and possible work

Proposed learning outcomes for this program example:

  • Specify a system problem and define measurable performance criteria.
  • Develop a simulation or approved prototype for a selected subsystem.
  • Evaluate trade-offs and communicate a documented engineering result.

Illustrative learning sequence

The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.

  1. 01System requirements and a feasible engineering question
  2. 02Circuit concepts, logic, and electronic building blocks
  3. 03Sensors, measurement, and data acquisition
  4. 04Programming a simulation or prototype workflow
  5. 05Control concepts and system behavior
  6. 06Perception or learning methods for the selected task
  7. 07Integrating subsystems and defining test cases
  8. 08Performance evaluation and failure analysis
  9. 09Design iteration and technical documentation
  10. 10Demonstration and research presentation

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