The Art of Computer Modeling: Science and Data

The course presents problems that are amenable to computation and associated solution techniques. Students engage with the algorithms through high-quality, freely available software toward solving problems assigned in weekly projects. The techniques studied are implemented in either SciPy (systems of equations, optimization, dynamical systems) or Scikit-learn (supervised and unsupervised learning). The computational problems arise primarily in science and engineering applications. Students see a wide range of applications through lecture demonstrations, expert faculty interviews, and weekly projects. By the end of the course, students can articulate a holistic framework for solving real-world problems with computers.