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README.md

@@ -17,7 +17,7 @@ The purpose of this project is to become familiar with the full IoT stack, which
 We will utilize this connected subway system to address a common question many Columbia students face when they are taking the subway downtown from the 116th Street red line: For Columbia students on the 1 line heading to 42nd street, should they switch to the express line at 96th street or stay on the 1 line? 
 
 
-This connected subway system will be built by the students over three weeks. The major sub-modules of this system include: 
+This connected subway system will be built over three labs. The major sub-modules of this system include: 
 - Hardware platform Installed in Each Subway (Local Station Gateway) - This hardware platform consists of an Intel Edison board, along with a range of sensors and actuators. The Intel Edison board also provides WiFi and Bluetooth Low Energy (BLE) connectivity, which allows the sensor data streams to be sent over to a cloud database for storage and data analytics. 
 - Cloud Database – The cloud database can store a multitude of data streams. There are many cloud database services available, including Facebook Parse, Google Firebase, Microsoft Azure, and IBM Bluemix. For this course, we will be using Amazon Web Services (AWS). A comparison of these different cloud platform is reviewed in class.
 - Data Analytics Engine – A major advantage of storing the large amount of data streams on the cloud is that they can be fed into a data analytics engine or machine learning software. AWS has their own suite of machine learning tools that we can leverage to build a real-time prediction engine to determine whether or not a subway rider should switch to the express line at 96th street or stay on the 1 line.