Analog circuits, antennas and wave propagation, control systems, digital design and probability — with lab work folded into each subject rather than bolted on.
Who it's for: Electronics students taking these subjects, and anyone who wants the hardware and signals grounding that the AI and cloud material assumes.
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5 modules · 25 topics · ~236 estimated learning hours. Each module builds on the ones before it — follow the "Comes after" chips to stay on solid ground.
Transistor-level analog design: biasing BJTs and FETs so they stay put, turning them into amplifiers you can analyse, then feedback, oscillators and power stages. Folds in the Analog Circuits lab as build-and-measure checkpoints.
How energy leaves a wire and crosses the planet: antenna parameters, dipole and loop analysis, arrays, microstrip and reflector antennas, and the propagation modes that decide whether your signal arrives.
Modelling systems, predicting their response, and making them behave: transfer functions, time and frequency response, stability tests, compensators and state space. Folds in the Modelling & Simulation lab as simulate-and-verify checkpoints.
From Boolean algebra to working hardware: logic minimization, combinational and sequential design, then Verilog HDL through to synthesis and FPGA. Folds in the Digital System Design lab as code-and-simulate checkpoints.
The mathematics of uncertainty as communication engineers use it: random variables and their operations, stochastic processes in time and frequency, noise characterisation, and what linear systems do to random inputs.