  In this study, we set up a numerical technique to get approximate solutions
of Fisher's equation which is one of the most important model equation in
population biology. We integrate the equation fully by using combination of the
trigonometric cubic B-spline functions for space variable and Crank-Nicolson
for the time integration. Numerical results have been presented to show the
accuracy of the current algorithm. We have seen that the proposed technique is
a good alternative to some existing techniques for getting solutions of the
Fisher's equation.

Numerical Analysis