Course Syllabus

Overview

Both on-campus and OMS student should watch Udacity course videos. On-campus student should watch video before class. Deliveable due dates apply to both OMS and on-campus student.

Schedule

# Week of Lesson Lab Deliverable Due
1 1/11/2016 1. Intro to Big Data Analytics & 2. Course Overview Survey
2 1/18/2016 3. Predictive Modeling 1. Hadoop & HDFS Basics
3 1/25/2016 4. MapReduce 2. Hadoop Streaming & HBase HW 1 (Jan 31)
4 2/1/2016 5. Classification evaluation metrics & 6. Classification ensemble methods 3. Hadoop Pig & Hive
5 2/8/2016 7. Phenotyping & 8. Clustering 4. Scala Basic HW 2 (Feb 14)
6 2/15/2016 9. Spark 5. Spark Basic
7 2/22/2016 10. Medical ontology 6. Spark SQL HW 3 (Feb 28)
8 2/29/2016 11. Graph analysis & Mar 3, Joyce Ho from Emory: Clinically interpretable models for health data 7. Spark MLlib Proposal (Presentation and Paper) (Mar 6)
9 3/7/2016 12. Dimensionality Reduction & Mar 8, Yubin Park from Accordion Health: Building a Platform for Value Based Payment & Mar 10, Shamim Nemati from Emory: ICU data analysis using deep learning 8. Spark GraphX
10 3/14/2016 13. Patient similairty & Mar 17, Omer Inan from Gatech ECE: Topic TODO HW 4 (Mar 20)
11 3/21/2016 Spring Break Week
12 3/28/2016
13 4/4/2016 Mar 29, Li Xiong from Emory: Privacy in Medical data & Apr 7, Munmun De Choudhury from Gatech IC: Social media and health Paper Draft (Apr 10)
14 4/11/2016 Apr 12, Mark Braunstein from Gatech IC: Healthcare Interoperability & Apr 14, Jim Rehg from Gatech IC: Behavioral Imaging Peer Feedback Paper Draft (Apr 17) 
15 4/18/2016 Apr 21, Jim Rehg from Gatech IC: Disease Progression Final Project (code+presentation+final paper) (Apr 24)
16 4/25/2016 Conclusions Peer Feedback Final Project (May 1)
17 5/2/2016 Exam Week

Guest Lectures

Find slides of past guest lectures in T-Square resources.

  1. Jon Duke from Regenstrief. Natural Language Processing for Deep Phenotyping in Health Data Analytics. (Jan 20, TSRB)
  2. Ben Snively from AWS. Analytics on the Cloud. (Jan 21, in class)
  3. Joyce Ho from Emory, Clinically interpretable models for health data. (Mar 3, in class)
  4. Yubin Park from Accordion Health, Building a Platform for Value Based Payment. (Mar 8, in clas)
  5. Shamim Nemati from Emory, ICU data analysis using deep learning. (Mar 10, in class)
  6. Omer Inan from Gatech ECE. Topic TODO. (Mar 17, in class)
  7. Xiong Li from Emory, Privacy in Medical data.(Apr 5, in class)
  8. Munmun De Choudhury from Gatech IC. Social media and health. (Apr 7, in class)
  9. Mark Braunstein from Gatech IC. Healthcare Interoperability. (Apr 12, in class)
  10. Jim Rehg from Gatech IC. Behavioral Imaging. (Apr 14, in class)
  11. Jim Rehg from Gatech IC. Disease Progression. (Apr 21, in class)