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– “**Calculus**: This one got integration techniques, differential equations, and applications. It’s not just about finding areas or slopes anymore; you need to solve real-world problems like modeling population growth or figuring out the path of a projectile. The questions are tricky, and if you don’t get the concepts, you’re stuck sia.”
– “**Statistics**: Involves testing hypotheses, understanding probability distributions, and finding correlations. You’ll use normal curves and p-values to interpret data. It’s complex, and precision is key.”
– “**Complex Numbers**: Deal with numbers involving *i* (where *i² = -1*), including operations, polar form, and Argand diagrams. It’s abstract, and visualization can be challenging.”
– “**Vectors**: Represented as directed arrows, vectors are crucial in physics and engineering. You’ll compute dot and cross products and solve vector equations. Tasks like finding angles or parallelism can be deceptively complex.”

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– “**NUS Engineering**: Requires a minimum B in H2 Math; without it, admission is unlikely.”
– “**NTU Data Science**: Math is fundamental; poor performance can disqualify you.”
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– “**Statistics**: Helps AI predict stuff from data.”
– “**Vectors**: Key for graphics and robotics in AI.”

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