ECE 365

Spring 2019 All Classes

All Classes

Data Science and Engineering

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Credit: 3 hours.

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.

Prerequisite: ECE 313.

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ECE 365 class schedule data for spring 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69291	Laboratory	BB1	4:00PM -4:50PM	W	2022 Electrical & Computer Eng Bldg		Part of Term: 1 Date Range: 01/14/19-05/01/19
69292	Laboratory	BB2	5:00PM -5:50PM	W	2022 Electrical & Computer Eng Bldg		Part of Term: 1 Date Range: 01/14/19-05/01/19
69293	Laboratory	BB3	6:00PM -6:50PM	W	2022 Electrical & Computer Eng Bldg		Part of Term: 1 Date Range: 01/14/19-05/01/19
69295	Laboratory	BBS	ARRANGED	n.a.	Location Pending		Part of Term: 1 Date Range: 01/14/19-05/01/19 Restriction(s): Restricted to O/C Engineering City Scholars students.
69290	Lecture	BD	3:30PM -4:50PM	TR	1015 Electrical & Computer Eng Bldg	Bose, S Veeravalli, V	Part of Term: 1 Date Range: 01/14/19-05/01/19
69294	Lecture	BDS	3:30PM -4:50PM	TR	ARR Discovery Partners Inst. CHI	Bose, S Milenkovic, O Veeravalli, V	Part of Term: 1 Date Range: 01/14/19-05/01/19 Restriction(s): Restricted to O/C Engineering City Scholars students.