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Dec 26, 2024
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NET 186 - E-Discovery II - File Culling Credits: 3 Lecture Hours: 1 Lab Hours: 4 Practicum Hours: 0 Work Experience: 0 Course Type: Voc/Tech This course focuses on the aspects of post acquisition, data processing as part of e-discovery implementations. Additional consideration is given to review and reporting as well as testimony expectations surrounding the e-discovery process. Prerequisite: NET 185 Competencies
- Discuss E-discovery Culling and Processing.
- Explain techniques used in the culling process.
- Discuss user documents, locations, and relevance.
- Analyze how to type specific data by type
- Explain the difference between the file extension and the file header.
- Describe separating files and emails by file signature
- Describe separating files and emails by category and provide counts
- Explore the purposes of hashing data.
- Explain near or fuzzy hashing
- Explore using hashing for de-duplication of data
- Describe hashing techniques to eliminate known data
- Analyze common data issues surrounding data searching and analysis
- Discuss the issues associated with compressed data and methods of examining the contents
- Describe the problems of data encryption and the methods to circumvent the situations
- Evaluate the significance and limitations of keyword searching and date ranging.
- Discuss the creation of single term or phrase search list
- Describe the usage of Boolean searching
- Explore the creation of acceptable keyword and phrase lists based on case specifics
- Describe the limitations of searching
- Characterize the methods and necessity for optical character recognition
- Classify files needing OCR
- Discuss the limitations of OCR
- Explain the OCR process and review of data
- Evaluate methods to deal with exceptions.
- Summarize technical implementations
- Discuss the importance client communication
Competencies Revised Date: 2019
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