Advanced scientific machine learning class, where students learn how to build models of real-life systems from data, e.g., fluid, weather/climate, biological processes, ecology, using machine learning tools seamlessly blended with the theories of ordinary differential equations. This course is in-person and includes in-class programming exercises to gain expertise by practice. Taught in conjunction with AM 160. Students cannot receive credit for this course and AM 160. Undergraduate students who are in the SciCAM 4+1 program are strongly encouraged to take AM 261 instead of AM 160.
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University of California, Santa Cruz
Reviews, study tips, and grade data for AM 261 at UCSC. Advanced scientific machine learning class, where students learn how to build models of real-life…
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