SDSU	CS 696 Intro to Big Data: Tools and Methods Fall Semester, 2016 Lecture Notes	DCS
	To Course Web Site San Diego State University -- This page last updated 6-Dec-16

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This page contains links to lecture notes for the CS 696 Intro to Big Data: Tools and Methods course. This page will be updated as more notes become available.

Lecture Notes By Topic

1. Course Intro
2. Julia Intro
3. Julia Control & Compound Types
4. Dictionaries, Arrays
5. Memory, Addition
6. Functions, Map, Reduce
7. Nesting, Testing, Data
8. Assignment 1 Comments
9. Parallel Computing
10. Statistics
11. Regression
12. Assignment 2 Comments
13. Generalized Linear Models
14. Clustering
15. Clustering 2
16. Neural Net
17. Review
18. Hadoop Intro
19. HDFS, YARN
20. Yarn, Tool Runner, AWS EMR
21. Debugging, Work Flow, Input
22. Hadoop Examples
23. Sorting, Partitioning
24. Spark Intro
25. Spark 2
26. Spark Install
27. No SQL
28. Compiling Spark Programs

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Lecture Audio By Date

Tuesday	Thursday
Aug 30 Course Intro	Sep 1 Julia Intro
Sep 6 Julia Control & Compound Types	Sep 8 Dictionaries, Arrays
Sep 13 Addition, Map, Reduce	Sep 15 Map, Reduce, Nesting, Testing
Sep 20 Assignment 1 comments	Sep 22 Data
Sep 27 Statistics	Sep 29 Statistics
Oct 4 Regression	Oct 6 Generalized Linear Models
Oct 11 Clustering	Oct 13 Clustering 2
Oct 18 Neural Net	Oct 20 Review
Oct 25 Exam Review	Oct 27
Nov 1 Hadoop Intro	Nov 3 HDFS
Nov 8 Yarn, Tool Runner, AWS EMR	Nov 10 Debugging, Work Flow, Input
Nov 15 Hadoop Examples	Nov 17 Sorting, Partitioning
Nov 22 Spark Intro	Nov 24 Thanksgiving
Nov 29 Spark Intro, Spark 2	Dec 1 Questions
Dec 6 Spark 2, Spark Install	Dec 8 Spark 2, Spark 2
Dec 8 Last Class	Dec 15
Dec 20 Final Exam

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