The University of Tulsa’s Russell School of Chemical Engineering is pioneering the integration of artificial intelligence (AI) into its curriculum, equipping students with cutting-edge skills to tackle real-world engineering challenges. Starting in the spring 2025 semester, faculty have embedded AI-driven assignments into every chemical engineering course, allowing students to explore how AI enhances problem-solving, process design, and data analysis. The impact of these assignments will be evaluated using ABET Student Outcomes 1-7, the seven core outcomes that engineering programs are expected to address in their curricula, focusing on problem-solving, design, communication, ethics, and lifelong learning. It ensures a structured approach to student learning and professional preparedness.
“AI is transforming the way engineers approach complex problems,” said Tyler Johannes, Ph.D., chair of chemical engineering and Wayne B. Rumley Endowed Chair in Chemical Engineering. “By integrating AI into our curriculum, we’re ensuring that our students develop the skills necessary to thrive in an evolving industry.”
Building on this initiative, the department is also launching a brand-new elective course for fall 2025: AI in Chemical Engineering to be developed and taught by Daniel Crunkleton, Ph.D. This course will provide students with hands-on experience using AI tools in process modeling, optimization, and data-driven decision-making, preparing them for careers in AI-enhanced engineering environments.
Positioning UTulsa to lead
With these changes, ChE 4103 Process Component Design is undergoing a major transformation: The course will be renamed ChE 4103 AI Applications in Process Design. The class will place a stronger emphasis on how AI can be used in the design and optimization of key chemical engineering systems, including heat exchangers, distillation columns, and reaction vessels.
“My vision is not only to create a new degree program in AI and engineering AI, but also to integrate AI seamlessly across our curricula, ensuring it becomes a fundamental part of every course. As a small, private, student-focused research university, UTulsa is uniquely positioned to lead this transformation and shape the future of AI-driven education,” said Andreas A. Polycarpou, Ph.D., dean of UTulsa’s College of Engineering & Computer Science.
Through these curriculum advancements, UTulsa chemical engineering is positioning itself at the forefront of AI education in the field. By providing students with practical AI experience and exposure to industry-relevant applications, the program is preparing the next generation of chemical engineers to lead in a rapidly evolving technological landscape.