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• CIS 500 Term Paper Mobile Computing and Social
  Networks (STR Course)

• CIS 500 Entire Course (STR Course)

• There are thousands of iPhone Apps, iPad Apps,
  and Android Apps that have been developed to
  perform a myriad of tasks and processes.
  Initially, most of these applications were games
  intended to be played on mobile devices. The
  popularity of these applications led businesses
  to ponder whether some of their business process
  applications that run on desktop platforms and
  the Web could be redesigned to run on mobile
  devices. The answer was a resounding yes!

• CIS 500 Case Study 1 The Big Data Challenges (STR
  Course)
• CIS 500 Assignment 1 Predictive Policing (STR
  Course)
• CIS 500 Assignment 2 4G Wireless Networks (STR
  Course)
• CIS 500 Assignment 3 Mobile Computing and Social
  NetworkingGraded (STR Course)
• CIS 500 Assignment 4 Data Mining (STR Course)

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• CIS 500 Case Study 2 Cloud Computing (STR Course)

• CIS 500 Case Study 1 The Big Data Challenges (STR
  Course)

• Cloud computing is defined by Cearly and Phifer
  in their case study titled Case Studies in Cloud
  Computing as a style of computing in which
  scalable and elastic ITrelated capabilities are
  provided as a service to customers using
  Internet technologies. Cloud computing services
  had been provided by major vendors such as
  Google, Amazon, Microsoft, IBM, HewlettPackard,
  and others for business computing until recently
  when Apple Corporation announced iCloud for
  consumers. Therefore, cloud computing is now
  available for businesses as well as consumers.

• Big Data is a term used to describe the
  voluminous amount of structured and
  semistructured data generated by companies. The
  term is used when referring to petabytes (PB),
  exabytes (EB), and zettabytes (ZB) of data.
  Companies face challenges when it comes to
  capturing, storing, searching, and analyzingBig
  Data. The Volvo Car Corporation faced this
  problem because of the massive amount of data it
  was streaming from its vehicles.

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• CIS 500 Assignment 4 Data Mining (STR Course)

• CIS 500 Assignment 3 Mobile Computing and Social
  NetworkingGraded (STR Course)

• The development of complex algorithms that can
  mine mounds of data that have been collected from
  people and digital devices have led to the
  adoption of data mining by most businesses as a
  means of understanding their customers better
  than before. Data mining takes place in retailing
  and sales, banking, education, manufacturing and
  production, health care, insurance, broadcasting,
  marketing, customer services, and a number of
  other areas.

• Mobile computing has dramatically changed how
  information is accessed and shared. Wireless
  networking has been an enabler of mobile
  computing. One profession that mobile computing
  has had a big impact on is health care
  management. Patients are now able to monitor
  their vital signs such as blood pressure, glucose
  levels, etc. without having to periodically visit
  a doctors office or hospital. There are devices
  such as the Withings Blood Pressure Monitor that
  works with an iPhone, iPod Touch, or iPad to
  record, track, and graph a patients blood
  pressure.

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CIS 500 learning consultant / tutorialrank.com

• CIS 500 Assignment 2 4G Wireless Networks (STR
  Course)

• CIS 500 Assignment 1 Predictive Policing (STR
  Course)

• The 3rd Generation Partnership Project (3GPP)
  developed the 3GPP LongTerm Evolution (LTE)
  standard for wireless communications technology.
  It is regarded as an evolution of the Global
  System for Mobile Communication (GSM), the
  Universal Mobile Telecommunications Systems
  (UMTS), and other standards. It is also known as
  the 4G LTE. The competition among the carriers to
  support 4G LTE networks has been very fierce as
  evidenced by TV commercials targeting smartphone
  users. Many smartphones run on 3G networks.

• In 1994, the New York City Police Department
  adopted a law enforcement crime fighting strategy
  known as COMPSTAT (COMPuterSTATistics). COMPSTAT
  uses Geographic Information Systems (GIS) to map
  the locations of where crimes occur, identify
  hotspots, and map problem areas. COMPSTAT has
  amassed a wealth of historical crime data.
  Mathematicians have designed and developed
  algorithms that run against the historical data
  to predict future crimes for police departments.
  This is known as predictive policing. Predictive
  policing has led to a drop in burglaries,
  automobile thefts, and other crimes in some
  cities.

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