ADAN7399 · Advancing Studies
ADV
This course introduces students to computer vision concepts and methods. Students will learn how to conduct classification, detection, and recognition tasks. The course covers 1) the basics of computer vision, 2) machine learning (ML) models for vision, 3) Convolutional Neural Networks (CNN) and transformer architecture, 4) object detection and image segmentation, 5) autoencoders & image manipulation, 6) Generative Adversarial Networks for image creation, and 7) multi-input models.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.5 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.1 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~7.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionFall 2024
1 sectionSpring 2024
1 sectionFall 2023
1 section