Fall 2022 Course Offerings
The following courses are being offered in the Fall 2022 and may be of interest to Applied Math students. Click here to view the video summaries.
CSC 580: Principles of Machine Learning by Chicheng Zhang
ISTA 457/INFO 557: Neural Networks by Steven Bethard
MATH 577-001: Inference, Learning and Optimization with Graphs and Networks by Misha Chertkov
MSE 596A: Physics-Informed Machine Learning by Marat Latypov
PSIO/APPL 572: Quantitative Modeling of Biological Systems by Tim Secomb
Click here to view summary for PHYS 572: Quantum Theory applications by Johann Rafelski