2023_02_03-Engineering - Toor Lab jatorner -0112.JPG
Artificial intelligence (AI) focuses on building intelligent systems capable of performing tasks such as learning, reasoning, 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 | Courses |
|---|---|
| Theory Elective (select one) | ECE:5200 Machine Learning (same as IGPI:5450) CS:5430 Machine Learning |
| 5000-Level ECE Elective (select one) | ECE:5330 Graph Algorithms and Combinatorial Optimization (Same as:IGPI:5331) ECE:5225 Statistical Foundations of Inference and Machine Learning ECE:5250 Large Language Models ECE:5485 Intelligent Vision and Image Understanding ECE:5550 Internet of Things |
| 4000-level or above CS Elective (select one) | CS:4400 Database Systems CS:4420 Artificial Intelligence CS:4440 Web Mining CS:4980 Topics in Computer Science II (VARIES BY SEMESTER - Not all sections may be acceptable) CS:4720 Optimization Techniques (Same as: MATH:4820) |
| ECE Elective (select one) | All 5000-level ECE electives listed above and ENGR:3110 Intro to AI & Machine Learning in Engr ECE:3400 Linear System II ECE:3600 Control Systems |
| CS Elective (select one) | All 4000-level and above CS electives listed above and CS:3700 Elementary Numerical Analysis (Same as: MATH:3800) |
| Additional Electives (Select two 3 s.h.) | Any of the above OR course selected in consultation with advisor. |