CSE 591 Lecture Schedule
8/26* L0: Course Introduction/Administration
8/28 L1: Introduction to Data Science (HW out)
9/2* Post Labor Day (classes cancelled)
9/4 L2: Python for Data Science I (Rami al-Rfou)
9/9 L3: Exploratory Data Analysis
9/11 L4: Statistical Significance and P-values (project assignments out)
9/16 L5: Principles of Visualizing Data / Video tutorial (HW in)
9/18 L6: Effective Data Visualization
9/23 L7: Building and Validating Models (back reel video in)
9/25* L8: Python for Data Science II (Rami al-Rfou)
9/30 Background presentation / brainstorming -- groups 1 and 2
10/2 Background presentation / brainstorming -- groups 3 and 4
10/7 Background presentation / brainstorming -- groups 5 and 6
10/9 Background presentation / brainstorming -- groups 7 and 8 (background reports/video in)
10/14 L9: Linear Algebra: Review
10/16 L10: Linear Algebra: Applications
10/21 L11: Regression / Logistic Regression
10/23 L12: Features / Dimension Reduction
10/28 L13: Scores and Rankings
10/30 L14: Support Vector Machines
11/4 L15: Clustering
11/6 L16: Outlier Detection / Data Cleaning
11/11 Progress report presentations -- groups 1, 2, 3, and 4
11/13 Progress report presentations -- groups 5, 6, 7 and 8 (progress reports/video in)
11/18 L17: Network Data / Analysis
11/20 L18: Achieving Scale
11/25 L19: Crowdsourcing
11/27 Thanksgiving (class cancelled)
12/2 Final model presentations -- groups 1, 2, 3, and 4
12/4 Final model presentations -- groups 5, 6, 7, and 8 (presentation video in)
12/12 Group debriefing meetings in lieu of final exam (final reports / webpage in)
*/* Project-specific event date (post-event video in)