(Don't read this page. It is a work in progress for a Fall'19 graduate automated SE subject at NC State. Come back in mid-October!)

Start

1.preface
2.why se 4 ai?
3.tools
4.ethics: how

Tools

baselines
Data mining:
discretization
basic
advanced
Optimizers:
landscapes
basic
advanced
optimizing+data mining
Theorem provers:
basic
advanced

Process

requirements
collect
cleanse
label
train
eval
deploy
monitor

Code

config
tests

Exercises

1
2
3a
3b
3c
3d
4

Quiz 4: Evaluation


scott knot

modify a12 to cliffs delta

something where more complex performs just as well as simpler.


© 2019 timm + zimm