Read it again any time, including while you work through the exercises.
You know how to add vectors. But can you multiply them? Yes, and the result is surprising: the dot product of two vectors is not a vector but a plain number (a scalar). This number encodes precious information: how much the two vectors point the same way.
Two formulas to compute it, depending on the data. With coordinates, in an orthonormal system: if u has coordinates (x, y) and v has (x', y'), then u · v = xx' + yy'. Simple: product of the x's plus product of the y's. With norms and angle: u · v = ||u|| × ||v|| × cos(θ), where θ is the angle between the vectors.
The sign of the dot product tells a story. Positive? The angle is acute, the vectors roughly agree. Negative? The angle is obtuse, they mostly pull opposite ways. Zero? The most famous case: the vectors are orthogonal (perpendicular). The test u · v = 0 is THE royal method to prove a right angle in a coordinate system.
Where does that cos(θ) come from? Think of a force pulling a cart: only the part of the force aligned with the motion actually works. The dot product measures exactly that efficiency: that is why physicists love it.
On the menu: computations with both formulas, the orthogonality test, and finding an unknown coordinate to make two vectors perpendicular.