Schedule
This is a tentative schedule. It will be updated according to the actual progress.
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EventDateDescriptionCourse Material
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Lecture05/09/2023 (Tue)
06/09/2023 (Wed)
1: Course Admin; Era of Big Data Analytics;[slides]Readings: Ch1 of [Blum]
Additional references: [DataCenter]
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Lecture12/09/2023 (Tue)
13/09/2023 (Wed)
2: Computing as a Utility; Data-center ArchitectureReadings: Ch1 of [MMDS]
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Due17/09/2023 17:59PM
SundayHomework 0 is due! -
Lecture19/09/2023 (Tue)
20/09/2023 (Wed)
26/09/2023 (Tue)
27/09/2023 (Wed)
3-4: MapReduce/ Hadoop ; The Big Data Processing stack[slides] [ESTR slides]Readings: Ch2.1-2.4 of [MMDS] Ch2 of [JLin] Ch3.1-3.4 of [JLin]
Additional references: [CloudData]
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Lecture03/10/2023 (Tue)
04/10/2023 (Wed)
5: Frequent Item-Set Mining and Association Rules[slides]Readings: Ch6.1-6.4 of [MMDS]
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Due09/10/2023 23:59PM
MondayHomework 1 is due! -
Lecture11/10/2023 (Wed)
12/10/2023 (Thu)
6: Finding Similar Items and LSH[slides] -
Lecture17/10/2023 (Tue)
18/10/2023 (Wed)
7: Clustering and GMM[slides] -
Lecture24/10/2023 (Tue)
25/10/2023 (Wed)
8: Dimension Reduction[slides]Readings: Ch11 of [MMDS]
Additional references: [PCA] [GuruswamiKannan]
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Due30/10/2023 23:59PM
MondayHomework 2 is due! -
Lecture31/10/2023 (Tue)
01/11/2023 (Wed)
9: Recommendation Systems[slides]Readings: [SVDPCA] [ANgCS229PCA] Ch17 of [ShaliziADAEPV]
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Lecture07/11/2023 (Tue)
08/11/2023 (Wed)
14/11/2023 (Tue)
15/11/2023 (Wed)
10: Regression and Gradient Descent ; Recommendation Systems (cont'd)Readings: Ch9 of [MMDS]
Additional references: [Netflix09] [KorenTalk] [ANg] [Pedregosa18] [Sra18]
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Due20/11/2023 23:59PM
MondayHomework 3 is due! -
Lecture21/11/2023 (Tue)
22/11/2023 (Wed)
11: Data Stream AlgorithmsReadings: Ch4.1-4.5 of [MMDS]
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Lecture28/11/2023 (Tue)
29/11/2023 (Wed)
12: Data Stream Algorithms (cont'd)Readings: Ch0,Ch1,Ch4.4,Ch6 of [ChakDataStream]
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Due09/12/2023 23:59PM
SaturdayHomework 4 is due!