The objective of this course is to introduce students to the mathematics and modeling tools necessary to analyze and simulate natural and engineered systems. The course includes three broad areas of modeling and analysis: that of stationary processes, linear dynamic systems and neural networks. Topics include modeling time series with ARIMA models, applications of artificial neural networks, building state space models for dynamic systems, and performing sensitivity and stability analyses.
Course material created by Professor Judith Cardell.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: Smith College
Materials available: Problem sets or projects, Course outline or syllabus, Downloadable code or data files