Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 462-DL : Computer Vision
Description
This course reviews deep learning methods for vision. Students work with raw image files, including digital representations of photographs, hand-written documents, x-rays, and sensor images. They process image data, converting pixels into numeric tensors for subsequent analysis and modeling. The course illustrates real-world applications for visual exploration, object recognition, image classification, facial recognition, remote sensing, navigation, and medical diagnostics. This is a project-based course with extensive programming assignments.
Recommended prior course: MSDS 458-DL Artificial Intelligence and Deep Learning.
Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.
Fall 2022 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
09/20/22 - 12/10/22 | Optional Sync W | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bharadwaj, Shreenidhi | Online | Open |
Spring 2023 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
03/27/23 - 06/10/23 | Optional Sync W | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bharadwaj, Shreenidhi | Online | Open |