ECE 365 - Data Science and Engineering

Semesters Offered

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Data Science and EngineeringECE365BB169291LAB01600 - 1650 W  2022 ECE Building 
Data Science and EngineeringECE365BB269292LAB01700 - 1750 W  2022 ECE Building 
Data Science and EngineeringECE365BB369293LAB01800 - 1850 W  2022 ECE Building 
Data Science and EngineeringECE365BBS69295LAB0 -    
Data Science and EngineeringECE365BD69290LEC31530 - 1650 T R  1015 ECE Building Venugopal V. Veeravalli
Subhonmesh Bose
Data Science and EngineeringECE365BDS69294LEC31530 - 1650 T R    Venugopal V. Veeravalli
Olgica Milenkovic
Subhonmesh Bose

Official Description

Project-based course focused on exploring and understanding how data are collected, represented and stored, and computed/analyzed upon to arrive at appropriate and meaningful interpretation. Foundations of machine learning are developed and then applied in the context of two specific application areas, such as social network analytics, biological data analysis, and auto and video analytics. Course Information: Prerequisite: ECE 313.