  We present microlensing events in the 2015 Korea Microlensing Telescope
Network (KMTNet) data and our procedure for identifying these events. In
particular, candidates were detected with a novel "completed event"
microlensing event-finder algorithm. The algorithm works by making linear fits
to a (t0,teff,u0) grid of point-lens microlensing models. This approach is
rendered computationally efficient by restricting u0 to just two values (0 and
1), which we show is quite adequate. The implementation presented here is
specifically tailored to the commission-year character of the 2015 data, but
the algorithm is quite general and has already been applied to a completely
different (non-KMTNet) data set. We outline expected improvements for 2016 and
future KMTNet data. The light curves of the 660 "clear microlensing" and 182
"possible microlensing" events that were found in 2015 are presented along with
our policy for their public release.
