(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 3b: Tools (Data Mining)

• Quiz 3b: Tools (Data Mining)

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Quiz 3b: Tools (Data Mining)

Need an introductory data mining exercise. Something where explanation is balanced against performance

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