CURRENT: 12.S592 U/G MIT REGISTRATION Lec: F. 9-11 Rm: Zoom & 54-1827
Simultaneously offered at Instituto Politecnico National (IPN) Queretaro (via Zoom).
Instructor: Sai Ravela (ravela@mit.edu)
- Offered since 2017, in earlier form since 2013
- Dynamics, Optimization, and Information foundations of Machine Learning
- ML-based System Dynamics and Optimization for Earth, Planets, Climate, and Life
- Flexible participation model
- Pre-reqs: Linear Algebra, Probability & Stat, a first course in ML, and some Systems preparation (at least one of) Statistical Signal Processing, Estimation, Control or Optimization
Seminar course 12.S592 is offered every term. Its syllabus follows four primary themes annually with an almost periodic, ahem, “50-shades of challenging grey matter” over approximately 50 weeks. Some have stayed on in the course for six years!
Theme By Season
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- DOLS seminar course sequence
- Earth, Planet, Climate and Life Applications
- Associated Systems Problems: Estimation, Control, Inference, Reduced Modeling, Uncertainty Propagation, Parameterization, Downscaling, and Learning
- Rethinking ML
- Co-Active Systems: Coupling Information and Inference using theory, models, data, and experts optimally.
- Neuro-Physical Dynamical Systems
- Neuro-Physical Inverters
- Opportunities & Challenges