Overview
Artificial Intelligence (AI) focuses on building intelligent systems capable of performing tasks such as automated learning, reasoning, learning, perception, natural language understanding, and decision-making. Machine learning (ML) is a branch of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without explicit programming. AI/ML has transformative potential across various industries, enabling innovation in areas like healthcare, finance, retail, transportation, and entertainment.
| Computer Science and Engineering Requirements | Suggested Options |
|---|---|
| Depth Elective (Select One) | ECE:5450Machine Learning (Same as: IGPI:5450) ECE:5455 Statistical Foundations of Inference and Machine Learning) ECE:5330 Graph Algorithms and Combinatorial Optimization (Same as:IGPI:5331) |
| Breadth Elective (Select One) | ECE:3400 Linear System II ECE:3540 Communication Networks ECE:3600 Control Systems |
| 5000-Level ECE Elective (Select Two) | All 5000-level depth electives listed above and ECE:5455 Statistical Foundations of Inference and Machine Learning) ECE:5550 Internet of Things ECE:5415:0001 Contemporary Topics in ECE: Large Language Models ECE:5415:0006 Intelligent Vision and Image Understanding |
| ECE Elective (Select One) | All breadth, depth and 5000-level ECE electives listed above |
