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ADAN 7399 Computer Vision

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 overview

Department
Advancing Studies
School
ADV
Credits
3
Level
Graduate
Offered
Periodically

Catalog details

Prerequisites
ADEC7220 or ADAN7220 and ADEC7301/ADAN7301 and ADEC7430 or ADAN7430 and ADAN7905/ADEC7905

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.55 / 5

Based on 18 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Lawrence Fulton
    Spring 2025, Fall 2024, Spring 2024, Fall 2023 · Official rating 4.78/5

Sections

No current section details are available.