Course schedule

Dates/etc are tentative and might change!

Day	Date	Lecture	Notes Link
Monday	08/29/22	Recap/review of linear algebra and ODEs	ODE Integration (with Events!)
Wednesday	08/31/22	Recap/review of black-box optimization and regression with minimize	Local Optimization and Curve Fitting
Monday	09/05/22	Labor day no class
Wednesday	09/07/22	Intro to supervised learning, model evaluation, and train/test splits	Intro to Supervised Learning
Optional lab		Python functions, error handling, exceptions, debugging	Python functions, Error handling, Exceptions, Debugging
Monday	09/12/22	AI/ML in Chemistry and Industry Guest Lectures (Covestro, Meta Fundamental AI Research)
Wednesday	09/14/22	AI/ML in Chemistry and Industry Guest Lectures (ClimateChangeAI, Toyota Research Institute)
Optional lab		Installing python packages in colab (pip, etc)
Monday	09/19/22	Overfitting and regularization	Model Capacity, Overfitting, Regularization, and Ridge/LASSO
Wednesday	09/21/22	Classification and logistic regression	Linear models for classification
Optional lab		Github and code/data sharing
Monday	09/26/22	Non-parametric models (trees, GPs, etc)	Validation and Test Splits, Non-parametric models
Wednesday	09/28/22	Featurizing/Representing data in ChE	Featurizing molecules and materials for chemical engineering
Optional lab		GPUs and accelerated training of models
Monday	10/03/22	Neural networks	Neural Networks
Wednesday	10/05/22	Unsupervised models and dimensionality reduction	Unsupervised learning: dimensionality reduction
Optional lab
Monday	10/10/22	Guest lecture on Engineering ethics of AI/ML
Wednesday	10/12/22	Final project poster session