diff --git a/slides/cse662fa2018/2018-08-27-Introduction.html b/slides/cse662fa2018/2018-08-27-Introduction.html new file mode 100644 index 00000000..c826e18a --- /dev/null +++ b/slides/cse662fa2018/2018-08-27-Introduction.html @@ -0,0 +1,270 @@ + + + + + + + CSE 662 - Languages and Runtimes for Big Data + + + + + + + + + + + + + + + + + +``1 + + + + + +
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Languages and Runtimes

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(for Big Data)

+

Oliver Kennedy

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okennedy@buffalo.edu

+

Capen 212

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Logistics

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  • Course Website
    + https://odin.cse.buffalo.edu/teaching/cse-662 +
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  • Grading
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    • Group Project: 3 Reports (15%, 15%, 50%)
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    • Weekly Papers and In-Class Discussion (20%)
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  • Office Hours
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    • Oliver: Weds 10 AM-Noon (Before Class)
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Email

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Always add [CSE662] to the title of emails

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  • This helps me to reply to your email faster
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  • The tag is mandatory for assignments
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Academic Integrity

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Each group will have a separate project. I don't expect cheating to be an issue, but to be clear... +

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  • I encourage you to talk to your classmates about ideas and papers out of class.
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  • I expect you to work with your team on the project.
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  • You should use outside tools/code/libraries (with attribution) if they're useful.
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  • If you/your team submits something as your work... it had better be your work.
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DB ≈ PL

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DatabasesProgramming Languages
IndexesData Structures
Transactions/LoggingSoftware Transactional Memory
Incremental ViewsSelf-Adapting Computation
Query Rewriting / Performance ModelsCompiler Optimization / Program Analysis
Probabilistic DBsProbabilistic Programming
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DB ≈ PL

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+ Data-Centric Programs +
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+ Turing-Complete Programs +
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Course Structure

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  • Data Structures, Indexes, Adaptive Indexing
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  • Uncertainty in Data
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  • Transactions, Concurrency, and Synchronizing Actors
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  • High-Throughput Data Processing
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Course Structure

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MondayWednesdayFriday
Classical Lecture
(Paper of the Week)
Group Presentations and Meetings
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Paper Discussion

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  • One paper every week (Assigned by Weds Night).
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  • I will be calling on random people to answer questions about the paper.
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  • Every group will be asked to present one paper pertinent to your project.
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  • Class participation is 20% of your grade.
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Group Presentations

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  • Present background, work-in-progress, your design choices, algorithms, information, code, performance metrics and/or analysis.
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  • Defend your ideas and design choices in a public setting.
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  • Everyone must attend.
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  • I will be calling on random people to ask questions of the presenters.
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  • Class participation is 20% of your grade.
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Class Participation

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I use a 3 point system:

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  • 0 points: You're not here when I call on you
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  • 2 points: You have a meaningful comment/question about the project/paper
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  • 1 points: Everything else
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You get 2 excused absences (guarantees I won't call on you) for the term.

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Project Seeds

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  • Decentralized IoT Plumbing
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  • Uncertainty-Aware Machine Learning
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  • Web-of-Trust for Crowdsourced Data
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  • Sensitivity Analysis in Mimir
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  • Sandboxed Python
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Paper Assignment 1

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+ The Case for Learned Index Structures
+ Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis +

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Be ready to intelligently discuss the paper's contents Monday Sept. 3

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Class Introductions

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  • What is your name?
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  • What did you do over the summer?
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  • Why did you take this class?
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  • What is your favorite Sci-Fi TV/Movie/Book?
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