Lecture Schedule
This is a tentative schedule. It is subject to change.
| Date | Lecture | Notes | Homework |
|---|---|---|---|
| Week 1 | — | — | — |
| Sep 2 | 01 – Course Intro and Git | Class Intro, Git | |
| Sep 4 | 02 – Spark Project Pitch Day | Pitch Deck | |
| Week 2 | — | — | — |
| Sep 9 | 03 – Class Survey Results, Intro to Pandas | Survey Results (1), Pandas (1) BU email address required |
|
| Sep 11 | 04 – DS Project Lifecycle, Intro to SciKit-Learn | DS PLC, SciKit-Learn | |
| Week 3 | — | — | — |
| Sep 16 | 05 – Probability Refresher | Probability | |
| Sep 18 | 06 – Linear Algebra Refresher | Linear Algebra | |
| Week 4 | — | — | — |
| Sep 23 | 07 – Distance, Similarity Functions and Time Series | Distances, Time Series | |
| Sep 25 | 08 – Clustering I: k-means | k-means | |
| Week 5 | — | — | — |
| Sep 30 | 09 – Clusterin II: In Practice | Clustering in Practice | |
| Oct 2 | 10 – Clustering III: Hierarchical | Hierarchical Clustering | |
| Week 6 | — | — | — |
| Oct 7 | 11 – Clustering IV: GMM and Expectation Maximization | GMM and EM | |
| Oct 9 | 12 – Learning From Data | Learning From Data | |
| Week 7 | — | — | — |
| Oct 14 | 🍂 No Class – Monday Schedule 🍂 | ||
| Oct 16 | 13 – Classification I: Decision Trees and Random Forests | Decision Trees | |
| Week 8 | — | — | — |
| Oct 21 | 14 – Classification II: k-Nearest Neighbors | k-NN | |
| Oct 23 | 15 – Linear Regression | Linear Regression | |
| Week 9 | — | — | — |
| Oct 28 | 16 – Logistic Regression and Regularization | Logistic Regression Regularization | |
| Oct 30 | 17 – SVD Low Rank Approximations | SVD | |
| Week 10 | — | — | — |
| Nov 4 | 18 – Dimensionality Reduction: PCA and t-SNE | PCA and t-SNE | |
| Nov 6 | 19 – Neural Networks: Gradient Descent & Backpropagation | NN I, NN II | |
| Week 11 | — | — | — |
| Nov 11 | 20 – Intro to NLP | NLP | |
| Nov 13 | 21 – Recommender Systems | Recommender Systems | |
| Week 12 | — | — | — |
| Nov 18 | 22 – Graphs I | Graphs I | |
| Nov 20 | 23 – Graphs II | Graphs II | |
| Week 13 | — | — | — |
| Nov 25 | 24 – Time Series Analysis | Time Series | |
| Nov 27 | 🦃 No Class – Thanksgiving Recess 🌽 | ||
| Week 14 | — | — | — |
| Dec 2 | 25 – Lecture to be announced | ||
| Dec 4 | 📽️ Project Presentation I 📽️ | ||
| Week 15 | — | — | — |
| Dec 9 | 📽️ Project Presentations II 📽️ | ||
| Dec 10 | 🎉 Last Day of Classes 🎉 | 🔬 Projects Due 🔬 | |
| Dec 11 | ✨ Spark Demo Day 4pm – 7pm ⚡️ |