It is assumed
that the following course material is being made available to
students of Amrita
They are meant for instructional use only.
Date |
Topics |
Material |
Notes |
6/6 |
Introduction to Emerging
Applications and Platform |
Course Description,
policies |
|
Course components |
CourseCompLec1 |
Activity#1: project ideas |
|
Emerging area1: Arduino and embedded
automotive applications |
ArduinoLec2 |
Demo |
|
Capstone design; ideas for term project |
CapstoneLec3 |
||
Automotive embedded systems |
AutoEmbeddedLec4 |
||
Connected vehicle technology (CVT) |
CVTLec5 |
||
Understanding the Arduino environment and
working with the board |
|||
6/7 |
Predictic analytics and
data science |
StatML |
|
Tntroduction to R
Language |
IntroR |
Handout#1 |
|
DataMining algorithms |
DMAlg |
Handout#2 |
|
Naive Bayes;
Classification |
NaiveBayes |
||
Logistic regression |
Logit |
||
Understand statistical
methods and machine learning approaches to predictive
analytics |
Data
paper1 Data paper2 |
||
6/13 |
Review + Introduction to
Javascript |
IntroJS |
|
Javascript development |
FuncJS |
||
A complete application
for further development in your application domain |
MoreJS |
hangmanImages |
|
IBM's JS Everywhere paper
(Sept 2013) |
IBMJS |
||
6/14 |
Review of Hangman problem |
||
Android Platform |
AndroidLec1 |
||
Android complete app
devlopment |
Handout#1 |
||
Processing Development
Platform |
ProcessingLec2 |
||
6/20 |
Introduction to Cloud
Computing |
CloudComp |
LastWeeks'sReview |
Google Cloud: Google App
Engine |
Goog |
HandoutGAE |
|
Amazon cloud: Amazon Web
Services |
AWS |
||
Presentations of Capstone
project |
|||
6/21 |
Sentiment analysis using
AWS services + twitter feed |
EMRTwitter |
|
MapReduce Programming
Model |
MR |
||
Summarizing EAP |
EAPSummary |
||
Final Exam |