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
Requirements fulfilled
No source-backed degree requirement is attached to this course yet.
Official evaluation summary
3.10 / 5
Data freshness
Instructors
Sections
No current section details are available.