Formatting and next week's schedule
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@ -70,10 +70,14 @@ After the taking the course, students should be able to:
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## Course Schedule
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## Course Schedule
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* **Aug. 29** : Introduction ([slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-08-29-Intro.pdf))
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* **Aug. 29** : Introduction ([slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-08-29-Intro.pdf))
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* **Aug. 31** : Project Background 1 - ([Mimir](http://odin.cse.buffalo.edu/slides/talks/2016-3-NYU-Mimir/), [JITDs](http://odin.cse.buffalo.edu/slides/talks/2015-3-JITDs.zip))
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* **Aug. 31** : Project Background 1 ([Mimir](http://odin.cse.buffalo.edu/slides/talks/2016-3-NYU-Mimir/), [JITDs](http://odin.cse.buffalo.edu/slides/talks/2015-3-JITDs.zip))
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* **Sept. 02** : Project Background 2 - ([PocketData](http://odin.cse.buffalo.edu/slides/talks/2015-7-OhioPocketData/))
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* **Sept. 02** : Project Background 2 ([PocketData](http://odin.cse.buffalo.edu/slides/talks/2015-7-OhioPocketData/))
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* **Sept. 07** : Database Cracking - ([paper](http://stratos.seas.harvard.edu/files/IKM_CIDR07.pdf), [slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-09-07-Cracking.pdf))
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* **Sept. 07** : Database Cracking ([paper](http://stratos.seas.harvard.edu/files/IKM_CIDR07.pdf), [slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-09-07-Cracking.pdf))
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* **Sept. 09** : Functional Datastructures - ([slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-09-09-FuncDSes.pdf))
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* **Sept. 09** : Functional Data Structures ([slides](http://odin.cse.buffalo.edu/slides/cse662fa2016/2016-09-09-FuncDSes.pdf))
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* **Sept. 12** : Just-in-Time Data Structures
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* **Sept. 14** : Incomplete Databases
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* **Sept. 16** : Probabilistic Databases
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@ -81,9 +85,6 @@ After the taking the course, students should be able to:
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1. Datstructures and Indexes
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1. Datstructures and Indexes
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* Functional Datastructures
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* Functional Datastructures
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* Indexes Review
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* Tree vs Hash
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* Clustered vs Unclustered
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* Adaptive Indexes
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* Adaptive Indexes
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* Cracker Indexes
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* Cracker Indexes
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* Adaptive Merge Trees
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* Adaptive Merge Trees
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