SCIENTIFIC MACHINE LEARNING

Credit Hours: 3 · Graduate

Introduction to scientific machine learning and its application to physical problems. Mathematical and numerical models of physical systems are integrated with machine learning approaches to develop physics-based or Numerics-based data-driven methods for the solution of science and engineering problems. Graduate/Undergraduate Equivalency: CMOR 417 . Mutually Exclusive: Cannot register for CMOR 517 if student has credit for CMOR 417 .