System Design and Engineering

Understanding system behavior is key to designing effective solutions, especially in data science and other disciplines with inherent complexity. DATA 442 introduces systems thinking and analysis methods and prepares students with effective methods and modeling techniques for system design. Students learn about the structures of systems, analyze system dynamics, and discover how to use feedback mechanisms for system control. Knowledge of introductory physics is preferred, often fulfilled with AP Physics, Physics 114 or Physics 118. If you have questions about the prerequisites or the sufficiency of your knowledge of physics, please reach out to the instructor.