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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Lecture2024-09-04 (Wed)1: Course Admin; Era of Big Data Analytics;[slides]
Readings: Ch1 of [Blum]
Additional references: [DataCenter]
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Lecture2024-09-11 (Wed)2: Computing as a Utility; Data-center Architecture[slides]
Readings: Ch1 of [MMDS]
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Due2024-09-14 23:59PM
SaturdayHomework 0 is due! -
Holiday2024-09-18 (Wed)The day following the Chinese Mid-Autumn Festival
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Lecture2024-09-25 (Wed)
2024-10-02 (Wed)
3-4: MapReduce/ Hadoop ; The Big Data Processing stack[slides]Readings: Ch2.1-2.4 of [MMDS] Ch2 of [JLin] Ch3.1-3.4 of [JLin]
Additional references: [CloudData]
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Lecture2024-10-09 (Wed)5: Frequent Item-Set Mining and Association Rules[slides]
Readings: Ch6.1-6.4 of [MMDS]
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Leave2024-10-16 (Wed)The instructor will be on conference leave, and there is no lecture. The make-up lecture will be on Dec. 4 (venue is to be decided).
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Due2024-10-19 23:59PM
SaturdayHomework 1 is due! -
Lecture2024-10-23 (Wed)6: Finding Similar Items and LSH[slides]
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Lecture2024-10-30 (Wed)7: Clustering and GMM[slides]
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Lecture2024-11-06 (Wed)8: Dimension Reduction[slides]
Readings: Ch11 of [MMDS]
Additional references: [PCA] [GuruswamiKannan]
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Due2024-11-09 23:59PM
SaturdayHomework 2 is due! -
Lecture2024-11-13 (Wed)9: Recommendation Systems[slides]
Readings: [SVDPCA] [ANgCS229PCA] Ch17 of [ShaliziADAEPV]
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Lecture2024-11-20 (Wed)10: Regression and Gradient Descent ; Recommendation Systems (cont'd)[slides]
Readings: Ch9 of [MMDS]
Additional references: [Netflix09] [KorenTalk] [ANg] [Pedregosa18] [Sra18]
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Due2024-11-25 23:59PM
MondayHomework 3 is due! -
Lecture2024-11-27 (Wed)11: Data Stream Algorithms
Readings: Ch4.1-4.5 of [MMDS]
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Make-up Lecture2024-12-04 (Wed)12: Data Stream Algorithms (cont'd) / Overflow
Readings: Ch0,Ch1,Ch4.4,Ch6 of [ChakDataStream]
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Exam2024-12-18 (Wed)Final exam will be held on Dec 18 (Wed) 7:00pm to 10:00pm at YIA LT5