Week | Date | Lectures and Reading | Due Dates | ||||||
01 | Aug. 28, T | Syllabus and Introduction | |||||||
Aug. 30, Th | Lecture 1: Python
Workshop |
||||||||
02 | Sep. 04, T | Lecture 1: Python Workshop | Add/Drop deadline | ||||||
Sep. 06, Th | Lecture 2: Pandas | ||||||||
03 | Sep. 11, T | Lecture 2: Pandas | |||||||
Sep. 13, Th | Lecture 2: Data Cleaning with Pandas | ||||||||
04 | Sep. 18, T | Lecture 3: NumPy |
HW01 Due | ||||||
Sep. 20, Th | Lecture 3: NumPy | ||||||||
05 | Sep. 25, T | Lecture 4: Data Wrangling | Project Proposal Due | ||||||
Sep. 27, Th | Lecture 5: Unstructured/Semi-structured Data | ||||||||
06 | Oct. 02, T | Lecture 5: Unstructured/Semi-structured Data | HW02 Due | ||||||
Oct. 04, Th | Lecture 6: NoSQL | ||||||||
07 | Oct. 09, T |
Fall Holiday |
|||||||
Oct. 11, Th | Lecture 6: NoSQL | ||||||||
08 | Oct. 16, T | Lecture 7: Text Data Analysis and Inference | |||||||
Oct. 18, Th | Lecture 7: Text Data Analysis and Inference | Project Progress Report Due | |||||||
09 | Oct. 23, T | Lecture 8: Evaluations | |||||||
Oct. 25, Th | Lecture 8: Evaluations | ||||||||
10 | Oct. 30, T | Lecture 8: Evaluations | HW03 Due | ||||||
Nov. 01, Th | Lecture 9: Machine Learning on Data | ||||||||
11 | Nov. 06, T | Lecture 9: Machine Learning on Data | |||||||
Nov. 08, Th | Lecture 9: Machine Learning on Data | ||||||||
12 | Nov. 13, T | Lecture 9: Machine Learning on Data | |||||||
Nov. 15, Th | Lecture 10: Weka Workshop | Project Progress Report Due | |||||||
13 | Nov. 20, T | Project workday: No Classes | |||||||
Nov. 22, Th | Thanksgiving Holiday | ||||||||
14 | Nov. 27, T | Lecture 11: Delivering Results | HW04 Due | ||||||
Nov. 29, Th | Data Science Trends + Revisons | ||||||||
15 | Dec. 04, T |
Project Demo Day! | Project Final Report Due | ||||||
Dec. 06, Th | Project Demo Day! |
Project Final Report Due | |||||||
16 | Dec. 13, Th | Final Exam, 4.00 pm - 6.00 pm |