Vm455: Introduction
to Data-driven Engineering Design
DESCRIPTION:
Introduction
to the fundamental theories and techniques of data-driven engineering design,
extracting insights from large datasets to support decision-making in
product/system design, quantitative methods for customer preference modeling,
discrete choice analysis, data analysis and visualization, text mining,
supervised/unsupervised learning, deep/reinforcement learning, network
analysis; model evaluation, validation and improvement.
PREREQUISITES:
Vg100, Vg101, Vm250
CREDIT: 3
Offered
terms: 2019 Fall