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 of | Lesson | Lab | Deliverable Due |
|---|---|---|---|---|
| 1 | 8/22/2016 | 1. Intro to Big Data Analytics & 2. Course Overview | ||
| 2 | 8/29/2016 | 3. Predictive Modeling | 1. Hadoop & HDFS Basics | |
| 3 | 9/5/2016 | 4. MapReduce | 2. Hadoop Streaming & HBase | HW 1 (Sep 11) |
| 4 | 9/12/2016 | 5. Classification evaluation metrics & 6. Classification ensemble methods | 3. Hadoop Pig & Hive | |
| 5 | 9/19/2016 | 7. Phenotyping & 8. Clustering | 4. Scala Basic | HW 2 (Sep 25) |
| 6 | 9/26/2016 | 9. Spark | 5. Spark Basic | |
| 7 | 10/3/2016 | 10. Medical ontology | 6. Spark SQL | HW 3 (Oct 9) |
| 8 | 10/10/2016 | 11. Graph analysis | 7. Spark MLlib | Project Proposal (Oct 23) |
| 9 | 10/17/2016 | 12. Dimensionality Reduction | 8. Spark GraphX | |
| 10 | 10/24/2016 | 13. Patient similairty | HW 4 (Oct 31) | |
| 11 | 10/31/2016 | Guest Lecture | Peer review bidding (Nov 6) | |
| 12 | 11/7/2016 | Guest Lecture | ||
| 13 | 11/14/2016 | Guest Lecture | Paper Draft (Nov 20) | |
| 14 | 11/21/2016 | Guest Lecture | Peer Review for Draft (Nov 27) | |
| 15 | 11/28/2016 | Guest Lecture | Final Project (code+presentation+final paper) (Dec 4) | |
| 16 | 12/5/2016 | Conclusions | Peer Review for Final Project (Dec 11) | |
| 17 | 12/12/2016 | Final Exam Week |
Past Guest Lectures
See RESOURCE section.