Alright, future engineers!
**Pomodoro Technique:** Work in focused, timed intervals to boost productivity.
Ex: Study 25 min, break 5 min. (Repeat 4x, then a longer break).
Pro-Tip: Use a timer & minimize distractions. Maximize focus, prevent burnout!
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Alright, future engineers!
**Euler's Method:** Approximates solutions to differential equations by taking small linear steps.
Formula: `y_n+1 = y_n + h * f(x_n, y_n)`
Pro-Tip: Smaller step size (h) improves accuracy but increases computational cost!

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**Modular Arithmetic:** `a === b (mod n)` means `a` & `b` have the same remainder when divided by `n`.
Ex: `17 === 5 (mod 12)` since `17 % 12 = 5` & `5 % 12 = 5`.
Pro-Tip: Think 'clock arithmetic'! It's key for cryptography & hashing.

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Alright, future engineers!
The **Dot Product** takes two vectors and returns a scalar. It tells you how much they align!
Ex: For `v=[v1,v2]` & `w=[w1,w2]`, `v.w = v1w1 + v2w2`.
Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)!
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Alright, future engineers!
The **Fundamental Theorem of Calculus (FTC)** bridges diff. & int., showing they're inverse ops!
Ex: `Int_a^b f'(x)dx = f(b) - f(a)`
Pro-Tip: This is WHY you use antiderivatives to solve definite integrals!
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**Trapezoidal Rule:** Approximates definite integrals by summing areas of trapezoids under the curve.
Ex: `h/2 * (f(x0) + f(x1))` for one interval.
Pro-Tip: More subintervals (smaller `h`) generally means better accuracy!

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A **Logarithm** is the inverse of exponentiation. It answers: what power must base 'b' be raised to get 'x'?
Ex: `log_2(8) = 3` because `2^3 = 8`.
Pro-Tip: Remember `log_b(x) = y` is equivalent to `b^y = x`!

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**Standard Deviation (SD)** measures how spread out data points are from the mean.
Ex: High SD = wide spread. Low SD = clustered. `SD = sqrt(Variance)`.
Pro-Tip: Smaller SD means more consistent/reliable data (e.g., material strength)!
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Alright, future engineers!
A **Derivative** measures the instantaneous rate of change of a function or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = n*x^(n-1)` (e.g., `d/dx(x^3) = 3x^2`).
Pro-Tip: Think 'slope'! It tells you how fast something is changing *at that exact moment*.
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Alright, future engineers!
**Feynman Technique**: Explain a concept in simple terms, as if to a child.
Ex: Teach integration by parts to a rubber duck.
Pro-Tip: Can't simplify it? That's your knowledge gap! Re-study until it's clear.
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