Investigating High-Tech Crime by Michael Knetzger

Investigating High-Tech Crime by Michael Knetzger

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Investigating High-Tech Crime by Michael Knetzger

For courses in Criminal Justice, Computer Crime, Cyber Crime, and Computer Forensics.   Written for first responders, this text was developed to address the need for an investigator’s guide to high tech crime. Filled with real world examples, it is meant to be a hands-on training tool as well as a long-term reference manual. Chapters and materials are sequenced using a building block approach–one that ensures all students have the baseline knowledge needed to advance to the more complex topic areas. With an emphasis on demystifying the world of high tech crime, this book uses plain terms and real world analogies to make concepts accessible and meaningful to those on the front lines.
Michael R. Knetzger is a fourteen-year law enforcement veteran and currently a Lieutenant and Field Training Supervisor with the Green Bay (WI) Police Department.  Prior to in Titletown, USA, he served as a patrol officer and detective for the Town of Brookfield (WI) Police Department.  Mr. Knetzger is also a certified State of Wisconsin Technical College Instructor and teaches criminal justice courses at Northeast Wisconsin Technical College (NWTC), Colorado Technical University Online (CTUonline) and ITT Technical Institute.  He has successfully completed the International Association of Computer Investigative Specialists (IACIS) forensic examiner program, Basic Data Recovery & Analysis (BDRA) course, and several other courses and seminars on investigating internet crimes.  Mr. Knetzger has written and developed college course curriculum and co-wrote the "Investigating High Tech Crimes" course at NWTC.  He is also a certified tactical instructor and teaches defensive and arrest tactics (DAAT), firearms, and professional communications skills courses to new law enforcement recruits.   Mr. Knetzger holds a Master's degree in Public Administration from the University of Wisconsin - Oshkosh, a Bachelor's degree in Justice and Public Policy from Concordia University (WI), and an Associate's degree in Police Science from Waukesha County Technical College.   Jeremy A. Muraski is an eight-year law enforcement veteran and currently an Advanced Patrol Officer, Webmaster and Field Training Officer with the Green Bay (WI) Police Department.  Prior to serving and protecting in Packer City, USA, he works as a Network Administrator for Kimberly Clark Corporation.  Prior to that, he worked various jobs as a Computer Support Engineer and Help Desk Specialist supporting online investors for Fidelity Investments.  A proud graduate of The University of Wisconsin - Madison, Mr. Muraski is also certified to teach for The Wisconsin Technical College System and teaches criminal justice courses at Northeast Wisconsin Technical College (NWTC), including Investigating High Tech Crimes, and Juvenile Law.  He has successfully completed AccessData's Forensic Toolkit Course, the National White Collar Crime Center's Basic Data Recovery & Analysis (BDRA) course, and several other courses and seminars on investigating Internet crimes.  Mr. Muraski has written and developed college course curriculum and co-wrote the "Investigating High Tech Crimes" course at NWTC.  In addition to computer forensic certifications, Mr. Muraski also holds numerous other computer forensics certifications including Microsoft Access Database Design and Administration, Website Design and Computer Network Administration.    Mr. Muraski holds a Bachelor's degree in Behavioral Science and Law from the University of Wisconsin - Madison, with a Criminal Justice Certificate.
SKU Nicht verfügbar
ISBN 13 9780131886834
ISBN 10 0131886835
Titel Investigating High-Tech Crime
Autor Michael Knetzger
Buchzustand Nicht verfügbar
Bindungsart Paperback
Verlag Pearson Education (US)
Erscheinungsjahr 2007-10-25
Seitenanzahl 400
Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.