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May 26, 2026
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MEC 137 - AI-Assisted Design and Prototyping Credits: 3 3 Skills Lab Hours
Description This course introduces students to the use of artificial intelligence (AI) tools in the design and prototyping process. Students explore generative design, topology optimization and AI-driven simulation workflows to rapidly create and evaluate design alternatives. Emphasis is placed on integrating AI-assisted design tools with digital fabrication technologies such as 3D printing, computer numerical control (CNC) machining and electronics prototyping. Through hands-on projects, students gain experience applying AI to accelerate product development, improve efficiency and explore innovative design solutions. Learning Outcomes Upon successful completion of the course, the student will:
- Describe the role of artificial intelligence in design and prototyping.
- Use AI-assisted computer-assisted drawing (CAD) tools to generate multiple design alternatives.
- Apply generative design and topology optimization techniques to improve part performance.
- Evaluate AI-generated models for feasibility, manufacturability and cost.
- Integrate AI-assisted workflows with traditional CAD modeling and simulation tools.
- Prepare AI-generated designs for prototyping using additive and subtractive manufacturing methods.
- Analyze design trade-offs using AI-driven simulation of stress, deformation and material usage.
- Collaborate on team-based projects that combine AI-assisted design and physical prototyping.
- Document design iterations and decision-making processes in digital portfolios.
- Present final AI-assisted prototypes through written, oral and visual communication.
Listed Topics
- Introduction to AI in engineering design and prototyping
- Generative design concepts and applications
- Topology optimization for weight reduction and performance
- AI-assisted CAD modeling tools
- AI in simulation and virtual testing
- Evaluating manufacturability and cost trade-offs
- Preparing AI-generated designs for 3D printing and CNC machining
- Integration of AI workflows with conventional CAD/CAM systems
- Team-based AI-assisted design projects
- Documentation and presentation of AI-assisted prototypes
Reference Materials Instructor-approved textbook and materials Students who successfully complete this course acquire general knowledge, skills and abilities that align with CCAC’s definition of an educated person. Specifically, this course fulfills these General Education Goals: - Critical Thinking & Problem Solving
- Communication
Approved By: Dr. Quintin B. Bullock Date Approved: 03/09/2026
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