Vectors, Not Pixels: The Core Paradigm Shift

Raster Editing Fundamentals opened with pixels, resolution, and color modes — a fixed grid of colored dots that a photo or scanned image is fundamentally made of. This course starts from a genuinely different foundation. A vector image isn't a grid of dots at all; it's a set of mathematical instructions describing shapes, and that single difference changes almost everything about how these tools work.

What "Vector" Actually Means: Math, Not Pixels

A raster image stores a color value for every single pixel in its grid. A vector image instead stores a mathematical description of each shape — where a curve starts, where it ends, and how it bends in between — and the software recalculates exactly how that shape should look every time it's displayed or printed. There's no pixel grid sitting underneath a vector shape at all; it's recomputed fresh at whatever size and resolution is actually needed.

Resolution Independence: Why Scaling Never Degrades

Raster Editing Fundamentals' own Chapter 2 explained that enlarging a raster image stretches its existing, fixed pixels, producing visible blurriness or blockiness past a certain point. A vector shape has no fixed pixels to stretch — enlarging it just means recalculating the same mathematical description at a larger size, producing an identically crisp result whether it's rendered at business-card size or printed on a billboard. This property, called resolution independence, is the single biggest practical reason vector tools exist at all.

Anchor Points and Paths: The Building Blocks

Every vector shape is built from anchor points connected by paths — straight lines or curved segments defined by mathematical handles. A simple square might use four anchor points connected by straight paths; a smooth, flowing curve uses anchor points with curve handles that control exactly how the path bends between them. Chapter 3 goes hands-on with actually placing and adjusting these, but recognizing that every vector shape, however complex, ultimately reduces to anchor points and paths is the mental model this entire course builds on.

When Raster Still Wins

Vector graphics aren't a universal upgrade over raster — they solve a different problem. A photograph, with its continuous, irregular variation in color and tone, has no clean mathematical shape to describe; it genuinely needs a pixel grid to represent accurately, which is exactly why Raster Editing Fundamentals' own tools exist. Vector graphics excel specifically at clean, geometric, or illustrative work — logos, icons, typography, technical diagrams — where shapes have real, describable edges rather than photographic complexity.

What This Course Actually Teaches

This course covers Adobe Illustrator and Inkscape (free and open-source) side by side, the same comparative approach Raster Editing Fundamentals used for Photoshop and GIMP — two tools built around the same underlying discipline. Chapter 2 picks that framing up directly before this course moves into the actual drawing tools.

Hands-On Exercises