## Computer Science / BCS 530## Methods in Data-Enabled Research## Fall 2018 | ||||||||||||||||||||||||||||||||||||

## Syllabus
## Homework 1, Due 10/15 10amPlot rank vs. frequency on a log-log scale, and fit parameters for the generalized power law.Data are in: /u/cs248/data/mt/training.eng on the instructional network. ## Homework 2, Due 10/29 10amUse the Kolmogorov-Smirnov statistic to fit x_min and alpha for the data from the previous assignment. Discuss how the values compare with the results of HW 1, and plot both models against the data.## Homework 3, Due 11/5 10amImplement a feed-forward neural net.## Homework 4, Due 11/12 10amImplement backprop.For accounts, visit: https://accounts.csug.rochester.edu/ To turn in: /u/cs530/TURN_IN dir_name gildea @ cs rochester edu October 24, 2018 |