8 parts · 14 chapters

Systems Thinking and Critical Thinking

Most engineering mistakes at senior levels are not coding mistakes; they are thinking mistakes: solving the wrong problem, trusting a misleading number, missing a feedback loop, or being certain without evidence. This course is a toolkit for thinking clearly, with examples from engineering and fintech.

Eight parts: systems thinking beyond the Systems Engineering course; mental models worth owning; arguments as claims, evidence and warrants; the cognitive biases that hit engineers; statistical thinking and being fooled by numbers; evaluating sources and research; decision-making under uncertainty; and thinking in writing.

systems thinking · mental models · arguments · cognitive biases · statistical thinking · evaluating sources · decisions under uncertainty · thinking in writingeveryone · engineers who make or influence decisions
systemsStocks, flows, loops, delays, traps and leverage, applied.
modelsFirst principles, inversion, second-order effects, opportunity cost, base rates.
argumentsClaims, evidence, warrants, fallacies and steelmanning.
biasesConfirmation, anchoring, sunk cost, survivorship, planning fallacy.
numbersBase rates, regression to the mean, Simpson's paradox, correlation.
decisionsExpected value, reversibility, premortems, decision journals.
Builds on Systems Engineering and BooksSystems Engineering part 7 introduced systems thinking; Books part 15 summarises Thinking in Systems. Probability and Statistics (course 32) gives the maths behind part 5.