Physics for Computing & Engineering — Skills Plan
Planned skill map for Physics for Computing & Engineering. The curriculum will be developed and released in stages.
Work through mechanics, waves, circuits, optics, sensors, and measurement, then use dimensional analysis and numerical simulation to check engineering models.
Potential roles: Engineering Student · Simulation Developer · Technical Learner
Before you start
- Algebra and trigonometry
- Units, measurement, and scientific notation
What you’ll build
- Model a physical system
- Analyze sensor data
- Build and test a simple circuit
Prerequisites
PLANNED- Algebra and trigonometry
Build the Algebra and trigonometry knowledge needed to follow the Physics for Computing & Engineering foundations.
- Units, measurement, and scientific notation
Build the Units, measurement, and scientific notation knowledge needed to follow the Physics for Computing & Engineering foundations.
Foundations
PLANNED- Vectors and kinematics
Explain how Vectors and kinematics works and where it fits in the Physics for Computing & Engineering learning path.
- Forces and Newtonian mechanics
Explain how Forces and Newtonian mechanics works and where it fits in the Physics for Computing & Engineering learning path.
- Work, energy, and power
Explain how Work, energy, and power works and where it fits in the Physics for Computing & Engineering learning path.
- Waves and oscillations
Explain how Waves and oscillations works and where it fits in the Physics for Computing & Engineering learning path.
Core Skills
PLANNED- Electricity and circuits
Use Electricity and circuits to implement a working capability and verify its behavior in Physics for Computing & Engineering.
- Magnetism and induction
Use Magnetism and induction to implement a working capability and verify its behavior in Physics for Computing & Engineering.
- Thermodynamics
Use Thermodynamics to implement a working capability and verify its behavior in Physics for Computing & Engineering.
- Optics and sensors
Use Optics and sensors to implement a working capability and verify its behavior in Physics for Computing & Engineering.
Advanced / Production
PLANNED- Signals and measurement error
Evaluate Signals and measurement error trade-offs against the performance, reliability, and safety needs of Physics for Computing & Engineering systems.
- Numerical modeling and simulation
Evaluate Numerical modeling and simulation trade-offs against the performance, reliability, and safety needs of Physics for Computing & Engineering systems.
- Electronics and computing context
Evaluate Electronics and computing context trade-offs against the performance, reliability, and safety needs of Physics for Computing & Engineering systems.
- Dimensional analysis and validation
Evaluate Dimensional analysis and validation trade-offs against the performance, reliability, and safety needs of Physics for Computing & Engineering systems.
Real-World Projects
PLANNED- Model a physical system
Deliver a working outcome with Model a physical system, then test it against the project requirements.
- Analyze sensor data
Deliver a working outcome with Analyze sensor data, then test it against the project requirements.
- Build and test a simple circuit
Deliver a working outcome with Build and test a simple circuit, then test it against the project requirements.
Career / Interview Preparation
PLANNED- Engineering problem solving
Explain your approach to Engineering problem solving, defend key trade-offs, and discuss what you learned.
- Explain assumptions and units
Explain your approach to Explain assumptions and units, defend key trade-offs, and discuss what you learned.
- Technical project communication
Explain your approach to Technical project communication, defend key trade-offs, and discuss what you learned.
Discussion
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