Course Syllabus
Overview
Students should watch Udacity course videos according to the following schedule. It is recommended for students to do lab sessions on the schedule by yourself as early as possible since some of homework may cover the lab materials scheduled later than the homework.
Schedule
| Week # | 2017 Dates | Lesson | Lab | Deliverable Due |
|---|---|---|---|---|
| 1 | Aug 21 to 27 | 1. Intro to Big Data Analytics 2. Course Overview |
Scala Basic | |
| 2 | Aug 28 to Sep 3 | 3. Predictive Modeling | Hadoop & HDFS Basics |
|
| 3 | Sep 4 to 10 | 4.MapReduce & HBase |
HW 1 (Sep 4) | |
| 4 | Sep 11 to 17 | 5.Classification evaluation metrics 6.Classification ensemble methods |
Hadoop Pig & Hive |
|
| 5 | Sep 18 to 24 | 7. Phenotyping & 8. Clustering | NLP Lab |
HW 2 (Sep 24) |
| 6 | Sep 25 to Oct 1 | 9. Spark |
Spark Basic, Spark SQL |
Project group formation (Oct 1) |
| 7 | Oct 2 to 8 | 10. Medical ontology |
HW 3 (Oct 8) | |
| 8 | Oct 9 to 15 | 11. Graph analysis |
Spark Application |
Project Proposal (Oct 15) |
| 9 | Oct 16 to 22 | 12. Dimensionality Reduction | Spark MLlib & Spark GraphX | |
| 10 | Oct 23 to 29 | 13. Patient similairty |
HW 4 & Peer review bidding (Oct 29) | |
| 11 | Oct 30 to Nov 5 | Spring break | ||
| 12 | Nov 6 to 12 | Potential guest Lecture | ||
| 13 | Nov 13 to 19 | Potential guest Lecture | Paper Project draft (Nov 12) | |
| 14 | Nov 20 to 26 | Potential guest Lecture | Peer Review for Draft (Nov 19) | |
| 15 | Nov 27 to Dec 3 | Potential guest Lecture | ||
| 16 | Dec 4 to 10 | working on projects | Final Project (code+presentation+final paper) (Dec 10) | |
| 17 | Dec 11 to 17 | Final Exam Week |
Previous Guest Lectures
See RESOURCE section.