AI+X

The AI+X emphasis 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 requirements of the emphasis are structured into two components: (i) the AI component and (ii) the domain expertise (X) component.

AI Component

Students need to take at least 8 units of coursework in foundational and elective AI courses: 
Foundational AI Course (Required):

• MECH 259 Applied Machine Learning in Engineering (4 units)

Elective AI Courses (At least 4 units selected from the following):

• MECH 260 Data-Driven Engineering Design (2 units)
• MECH 262 Applied Reinforcement Learning in Mechanical Systems (2 units)
• MECH 263 AI in Manufacturing I (2 units)
• MECH 264 AI in Manufacturing II (2 units)
• MECH 300 Data-Driven Modeling, Identification, and Control I (2 units)
• MECH 301 Data-Driven Modeling, Identification, and Control II (2 units)
• Other relevant courses with approval by the department chair
• Additional elective AI courses will be added as the curriculum evolves to reflect emerging areas in AI and mechanical engineering
  

Domain Expertise (X) Component

To develop in-depth knowledge in a specific area of mechanical engineering, students complete at least 8 units of core courses in one of the following five emphases:
    1. Dynamics and Control
    2. Design and Manufacturing  
    3. Mechanics and Materials
    4. Mechatronic Systems Engineering
    5. Thermofluids and Energy