Rutgers University 3 credits General Engineering
Develops applied machine learning competencies through the responsible use of AI-assisted computational tools in engineering workflows. Open to all Rutgers University students, the course introduces supervised and unsupervised learning, deep learning, reinforcement learning, and optimization without requiring mathematical derivation or prior programming experience. Students develop engineering judgment through the TRACE framework (Task-Result-Analysis-Conclusion-Evaluation) to interpret, verify, and debug AI-generated outputs and identify where human oversight is required. Through industry-informed case studies and laboratory experiences, students apply AI tools to engineering analysis, modeling, and decision-making across multiple disciplines. The course is part of the School of Engineering’s three-course AI education sequence. Prerequisites: 14:440:212.
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