Well, that's a kind of tough order, since it's all about calculus, really. But here's an attempt at explaining the basic calculus behind it all:
Chemical kinetics is all about the rate at which things react, i.e. the rate at which molecules are formed. So you're dealing with finding out:
\frac{d[A]}{dt}, i.e. the rate of change of the concentration of A with time.
Now, typically, the rate at which the concentration changes will depend on the concentration itself. More molecules of A means more reactions taking place, so in general, you can write:
-\frac{d[A]}{dt} = k[A]^n
Which says that the concentration of A decreases over time in proportion to the concentration of A (itself), raised to the power of n. Where n is called the order of the reaction. Chemical reactions are most often first or second order.
(Although for a zeroth-order reaction n=0 then [A]^n = 1, meaning in that one case the rate at which [A] changes does
not depend on [A].)
So with the exception of zeroth-order, you have an equation with a function ([A], the concentration of A is a function of time) which depends on its own derivative (\frac{d[A]}{dt}). That's termed a differential equation, hence a 'differential rate law'.
So this tells us how the [A] changes with time. But we're not usually interested in that. What you're usually interested in is [A] itself. What's [A] at time t? To get that, you have to solve the differential equation. Taking as an example the rate law for a first-order reaction:
-\frac{d[A]}{dt} = k[A]
The solution to this differential equation (the second-simplest D.E. possible) is, if you haven't learned it yet:
[A] = [A]_0 e^{-kt}
Where [A]_0 is the concentration at t = 0. Since the differential equation only tells us how [A] changes with time, obviously we have to know its value at the starting point to be able to say anything about what happens later.
The solved equation is called the integrated rate law.
Now, it can get trickier: The rate for [X] might depend on the concentration of more than one substance, (e.g. [Y]) and the concentration [Y] might depend on [X]. That's called a system of coupled differential equations (and you'll probably how to solve them eventually). A nifty property of those is that, if the conditions are right, they can oscillate wildly (chaotically) between different values before reaching equilibrium. An example is the
http://www.youtube.com/watch?v=QdscFBvdTLg". This is also seen in nature where you have 'cycles' where the populations of predators and prey oscillate. (predator-prey models are a very popular example of coupled diff equations)