ECE 365
Fall 2023 Part of Term 1
Part of Term 1
Aug 21-Dec 6
Aug 21-Dec 6
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.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
72114
|
Laboratory
|
BB1
|
4:00PM
-4:50PM
|
W
|
2022 Electrical & Computer Eng Bldg
|
|
||
|
72115
|
Laboratory
|
BB2
|
5:00PM
-5:50PM
|
W
|
2022 Electrical & Computer Eng Bldg
|
|
||
|
72116
|
Laboratory
|
BB3
|
6:00PM
-6:50PM
|
W
|
2022 Electrical & Computer Eng Bldg
|
|
||
|
72112
|
Lecture
|
BD
|
11:30AM
-12:50PM
|
MW
|
3015 Electrical & Computer Eng Bldg
|
Bose, S
|
|