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