Computer Forensics

Learning Resource Type

Classroom Resource

Subject Area

Digital Literacy and Computer Science

Grade(s)

9, 10, 11, 12

Overview

In this lesson, students will discuss computer forensics and complete an activity in which they will process an electronic crime scene. Students will understand how computers and other electronic data storage devices leave the footprints and data trails of their users.

Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.14

Compare ways to protect devices, software, and data.

UP:DLCS18.HS.14

Vocabulary

computing devices, software, and data

Knowledge

Students know:
  • that it is important to protect data, software, and devices.
  • why it is important to protect data, software, and devices.

Skills

Students are able to:
  • compare ways to protect devices.
  • compare ways to protect software.
  • compare ways to protect data.

Understanding

Students understand that:
  • multiple methods exist to protect data, software, and devices.
  • some methods are more effective than others at meeting specific criteria.
  • it is important to evaluate option for protection of data, software, and devices.
Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.16

Identify laws regarding the use of technology and their consequences and implications.

UP:DLCS18.HS.16

Vocabulary

  • net neutrality
  • hacking
  • intellectual property
  • piracy plagiarism

Knowledge

Students know:
  • technology changes at a rapid rate.
  • all things that are possible with technology may not be ethical.
  • that laws exist or are created to encourage individuals and entities to operate in an ethical manner.

Skills

Students are able to:
  • identify laws relative to the use of technology.
  • identify consequences of violating laws relative to the use of technology.
  • identify implications of laws relative to the use of technology.

Understanding

Students understand that:
  • technology changes at a rapid rate.
  • all things that are possible with technology may not be ethical.
  • that laws exist or are created to encourage individuals and entities to operate in an ethical manner.
Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.32

Use data analysis tools and techniques to identify patterns in data representing complex systems.

UP:DLCS18.HS.32

Vocabulary

  • datamining

Knowledge

Students know:
  • how to identify patterns in data.
  • how to select and apply data analysis tools and techniques.
  • use data analysis tools and techniques to identify patterns in data representing complex systems.

Skills

Students are able to:
  • evaluate data sets.
  • select and apply data analysis tools and techniques.
  • use technology to mine data.

Understanding

Students understand that:
  • data can be important in a problem
  • solving process.
  • tools exists to aid in the processing of complex data sets.
  • it can be more efficient to allow a program to identify patterns in a complex data set.

CR Resource Type

Lesson/Unit Plan

Resource Provider

Texas CTE

License Type

Custom
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