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ECOOP 2016
Sun 17 - Fri 22 July 2016 Rome, Italy
Fri 22 Jul 2016 10:30 - 12:00 at Leopardi - Lecture 5a Chair(s): Jan Vitek
Fri 22 Jul 2016 13:40 - 15:10 at Leopardi - Lecture 5b Chair(s): Jan Vitek

Scientific progress is predicated on quantifiable advances. The questions of what to measure and how to measure it are central to empirical computer science. From compiler to distributed machine learning algorithms, setting up experiments and reporting their outcome is something we keep getting wrong. This course will provide motivation in the form of a number of cautionary tales, and then will give simple techniques for designing experiments along with the statistical basics suited for most common benchmarking situations. We will also introduce the concepts of reproducibility and repeatability and do some hands on exercises in R.

Slides (presentation13.pdf)1.1MiB

Fri 22 Jul

Summer School
10:30 - 12:00: Summer School - Lecture 5a at Leopardi
Chair(s): Jan Vitek
Summer School146917620000010:30 - 12:00
Talk
File Attached
Summer School
13:40 - 15:20: Summer School - Lecture 5b at Leopardi
Chair(s): Jan Vitek
Summer School146918760000013:40 - 15:10
Talk
File Attached
Summer School146919300000015:10 - 15:20