8/29
Lec 01: Course Introduction |
8/31
Lec 02: Data Intensive Computing |
Doing Data Science [Chapter 1] |
Week 1 TODOS [see Lec01] |
9/5
No Lecture (Labor Day) |
9/7
Lec 3: Data Strategy and EDA |
Doing Data Science [Chapter 2]
Data Science from Scratch [Chapter 10] |
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9/12
Lec 4: Models and Algorithms |
9/14
Lec 5: Models and Algorithms |
Doing Data Science [Chapter 3]
Data Science from Scratch [Chapters 11, 12, 14, 15]
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9/19
Lec 6: Models and Algorithms Demo
Demo Code
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9/19
Lec 7: Introduction to Hadoop |
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Project Phase 1 [description]: Due 10/17/22 @ 11:59PM |
9/26
Lec 8: Introduction to MapReduce |
9/28
Lec 9: MapReduce Demo
Demo Code
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Lin and Dyer [Chapter 1] |
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10/3
Lec 10: MapReduce Case Study |
10/5
Lec 11: Graph Analytics and PageRank |
NGS Paper |
Project Phase 2 [description]: Due 11/7/22 @ 11:59PM |
10/10
Lec 12: Graphs in MapReduce |
10/12
Lec 13: Word Co-Occurrence |
Lin and Dyer [Chapter 3,5] |
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10/17
Midterm Review |
10/19
Midterm Exam |
Midterm Review Questions
Midterm Key/Rubric
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10/24
Lec 15: Midterm Discussion |
10/26
Lec 16: Naive Bayes |
Doing Data Science [Chapter 4] |
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10/31
Lec 17: Naive Bayes |
11/2
Lec 18: Logistic Regression |
Doing Data Science [Chapter 4, 5] |
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11/7
Lec 19: Hive |
11/9
Lec 20: Spark |
RDD Paper |
Project Phase 3 [description]: Due 11/28/22 @ 11:59PM |
11/14
Lec 21: Spark RDDs |
11/16
Lec 22: Spark Demos
Demo Code
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RDD Paper |
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11/21
Workshop Day |
11/23
No Class (Fall Break) |
Ungraded Spark HW |
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11/28
Lec 24: Spark HW Review |
11/30
Lec 25: Bias in Data |
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12/5
Lec 26: Course Summary |
12/7
Lec 27: Final Exam Review |
Final Review Questions
Final Rubric
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