The innovative AI+X track enables students to explore emerging AI techniques while building domain expertise in a technical area (X) within mechanical engineering. This program welcomes students without prior AI experience, providing foundational knowledge and hands-on learning to explore to AI's transformative potential in mechanical engineering. The curriculum is structured into two key components: the AI component and the domain expertise (X) component.
For the AI component, students will complete foundational and elective AI courses specifically designed for mechanical engineers:
AI Foundational Course (Required 4-unit course):
- Applied Machine Learning in Engineering
AI Electives (>4 units from the list of elective courses below):
- Data-Driven Engineering Design
- Data-Driven Modeling, Identification, and Control
- Reinforcement Learning
- Physics-Informed Neutral Networks
For the X component, students select one of the following technical emphasis areas and complete at least 8 units of coursework in their chosen area:
1. Dynamics and Control
2. Design and Manufacturing
3. Mechanics and Materials
4. Mechatronic Systems Engineering
5. Thermofluids and Energy