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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Lecture04/09/2024 (Wed)
1: Course Admin; Era of Big Data Analytics;[slides]Readings: Ch1 of [Blum]
Additional references: [DataCenter]
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Lecture11/09/2024 (Wed)
2: Computing as a Utility; Data-center ArchitectureReadings: Ch1 of [MMDS]
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Due14/09/2024 23:59PM
SaturdayHomework 0 is due! -
Holiday18/09/2024 (Wed)
The day following the Chinese Mid-Autumn Festival -
Lecture25/09/2024 (Wed)
02/10/2024 (Wed)
3&4: MapReduce/ Hadoop ; The Big Data Processing stackReadings: Ch2.1-2.4 of [MMDS] Ch2 of [JLin] Ch3.1-3.4 of [JLin]
Additional references: [CloudData]
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Lecture09/10/2024 (Wed)
5: Frequent Item-Set Mining and Association RulesReadings: Ch6.1-6.4 of [MMDS]
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On Leave16/10/2024 (Wed)
The instructor will be on conference leave - No Lectures. The make-up lecture will be on Dec. 4 (venue is to be decided). -
Lecture23/10/2024 (Wed)
6: Finding Similar Items and LSH -
Lecture30/10/2024 (Wed)
7: Clustering and GMM -
Lecture06/11/2024 (Wed)
8: Dimension ReductionReadings: Ch11 of [MMDS]
Additional references: [PCA] [GuruswamiKannan]
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Lecture13/11/2024 (Wed)
9: Recommendation SystemsReadings: [SVDPCA] [ANgCS229PCA] Ch17 of [ShaliziADAEPV]
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Lecture20/11/2024 (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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Lecture27/11/2024 (Wed)
11: Data Stream AlgorithmsReadings: Ch4.1-4.5 of [MMDS]
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Make-up Lecture04/12/2024 (Wed)
12: Data Stream Algorithms (cont'd) / OverflowReadings: Ch0,Ch1,Ch4.4,Ch6 of [ChakDataStream]