CIS 500 Entire Course (STR Course)
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CIS 500 Case Study 1 The Big Data Challenges (STR Course)
CIS 500 Assignment 1 Predictive Policing (STR Course)
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CIS 500 Assignment 3 Mobile Computing and Social NetworkingGraded (STR Course)
CIS 500 Assignment 4 Data Mining (STR Course)
CIS 500 Case Study 2 Cloud Computing (STR Course)
CIS 500 Term Paper Mobile Computing and Social Networks (STR Course)
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CIS 500 Assignment 1 Predictive Policing (STR Course)
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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.
Write a four to five (45) page paper in which you
1. Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets.
2. Describe how COMPSTAT, as an information system (IS), implements the four (4) basic IS functions
1. Input
2. Processing
3. Output
4. Feedback
5. Determine how information systems have allowed police departments that implement tools such as COMPSTAT to respond to crime faster.
6. Apply the...