Estimating the error in the alternating series So I have the following question here:

Find the Macluarin series of $\displaystyle F(x) = \int_{0}^{x} (1+t^2)\cos(t^2)dt$. Use this series to Evaluate $F(\frac{\pi}{2})$ with an error less than $0.001$.

Now, I know the basic idea. The Maclaurin series of $\displaystyle \cos(x)=\sum_{n=0}^{\infty} \frac{(-1)^n(t^{2n})}{(2n)!}$. So then I would just expand the Integral like so:
$\displaystyle F(x) = \int_{0}^{x} (1+t^2)\cos(t^2)dt$
$\displaystyle F(x) = \int_{0}^{x} (1+t^2)\sum_{n=0}^{\infty} \frac{(-1)^n(t^{4n})}{(2n)!}dt$
$\displaystyle F(x) = \int_{0}^{x}\sum_{n=0}^{\infty} \frac{(-1)^n(t^{4n})}{(2n)!}dt + \int_{0}^{x}\sum_{n=0}^{\infty} \frac{(-1)^n(t^{4n+2})}{(2n)!}dt$
$\displaystyle F(x) = \sum_{n=0}^{\infty} \frac{(-1)^n(x^{4n+1})}{(2n)!(4n+1)} + \sum_{n=0}^{\infty} \frac{(-1)^n(x^{4n+3})}{(2n)!(4n+3)}$
As far as I know, I would have to combine both of these into a single sum to get my maclaurin series.
Now I know that because these series alternate, I have to use the alternating series estimation theorem and make the error less than $0.001$.
Here's where I'm stuck... How do I do that? This would be fine if I had a single sum. However I have two sums here. How do I deal with that?
I could do this by adding up terms if I wanted to I guess. This would require me to integrate $10$ terms as such:
$\displaystyle \int_{0}^{\frac{\pi}{2}}\left(1+x^2-\frac{x^4}{2}-\frac{x^6}{2}+\frac{x^8}{24}+\frac{x^{10}}{24}-\frac{x^{12}}{720}-\frac{x^{14}}{720}+\frac{x^{16}}{40320}+\frac{x^{18}}{40320}\right)dx \approx 0.9259$ which gives me the desired ammount I want to that the error does not exceed $0.001$. However, this requires me to know the value of the integral which I can't find using elementary methods.
Is there a way I could do it with my original method or using a series + the Alternating series estimation theorem? Help would be appreciated. Thank you very much.
EDIT: Corrected to account for the $t^2$ for the maclaurin series of cosine.

Since they are each alternating series and eventually the terms are decreasing you can use the alternating series rule on each one. If you make your error criteria on each series to be half the desired error, then the overall error when you combine the two will be what you want.
