Required
IDS 701
Credits: 3
Fall 1
Professor
Pratt School of Engineering
CourseDescription

Introduction to using data to make practical decisions. Students will work in small groups to analyze and understand the implications of real, messy data sets. Teams will design and implement their own analysis plan in order to recommend a strategy for solving problems.

Practical survey of probability theory through Bayes’ Theorem, maximum likelihood, information measures, and an introduction to binary classification and linear regression are also covered.