Course outline - BE 175

Week 1, March 31 – April 4

• Monday: Statistics review (slides, notes)
• Wednesday: Bayesian vs. frequentist approaches (slides, notes) (pre-recorded)
• Lab: Programming primer
  • Due April 10th at 11:59 pm
  • Recommended: Git & Github Fundamentals Tutorial
  • 👂: Linear Digressions: Jupyter Notebooks, A Data Scientist’s Best Friend
  • 👂: Linear Digressions: Git for Data Scientists

Week 2, April 7 – 11

• Monday: Fitting & Regression (slides, notes)
  • Example Notebook
• Wednesday: Dynamical models (slides, notes)
• Lab: Statistics lab
  • Due April 24th at 11:59 pm
  • Implementation of Shaffer et al.

Week 3, April 14 – 18

• Monday: Finish dynamics. The Adam optimizer.
• Wednesday: Does my model work? Crossvalidation, bootstrap, and friends (slides, notes)
  • Example Notebook
• Lab: Reviewing dynamics

Week 4, April 21 – 25

• Monday: Fitting & Regression Redux, Regularization (slides, notes)
  • Example Notebook
• Wednesday: Reproducible computational workflows (slides, notes)
• Lab: Regression lab, exam review
  • Due May 8th at 11:59 pm

Week 5, April 28 – May 2

• Monday: Dimensionality reduction - PCA and NMF (slides, notes)
  • Example Notebook: ipynb, html
• Wednesday: Exam 1
• Lab: Project selection check-in

Week 6, May 5 – 9

• Monday: Finish PCA
• Wednesday: Partial Least Squares Regression (slides, notes)
• Submit project idea, due May 9th at 11:59 pm
• Lab: PCA/PLSR lab
  • Due May 22nd at 11:59 pm
  • Implementation of Cosgrove et al.

Week 7, May 12 – 16

• Monday: Support vector machines (slides, notes)
  • Example Notebook: ipynb, html
• Wednesday: Continue SVMs
• Lab: Content review
  • Review SVMs
  • Discuss project plans

Week 8, May 19 – 23

• Monday: K-Means clustering (slides, notes)
  • Example Notebook: ipynb, html
• Wednesday: Gaussian Mixture Models (slides, notes)
  • Example Notebook: ipynb, html
• Lab: SVM lab
  • Review mixture models
  • Due June 5th at 11:59 pm
  • Implementation of Masaeli et al.

Week 9, May 26 – 30

• Monday: Memorial Day
• Wednesday: Equitable application of models
• Lab: Exam review

Week 10, June 2 – 6

• Monday: Exam 2
• Wednesday: Project presentations
• Lab: Project presentations

Finals Week, June 9 – 13

• Final project due June 11th at 11:59 pm