ADAN 7603 AI Algorithms II

This course aims to teach students advanced AI algorithms and covers neural networks, deep learning architectures, and reinforcement learning. The course provides a high-level theoretical overview of each section and discusses practical applications through hands-on projects. The course uses Python as the programming language. Prerequisites: Data analysis and feature engineering, traditional machine learning theory and practice, python programming (intermediate level e.g., familiarity with sci-kit learn, matplotlib, NumPy, pandas), linear algebra, and first-order derivatives.

Course overview

Department
Advancing Studies
School
ADV
Credits
3
Level
Graduate
Offered
Periodically

Catalog details

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

3.10 / 5

Based on 89 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

  • Kishore Mosaliganti
    Spring 2026, Fall 2025, Summer 2025, Spring 2025, Fall 2024, Summer 2024, Spring 2024, Fall 2023 · Official rating 3.09/5

Sections

No current section details are available.