powered by
Center for Curriculum and Transfer Articulation
Data Privacy and Integrity
Course: CIS314

First Term: 2023 Fall
Lec + Lab   3.0 Credit(s)   4.0 Period(s)   4.0 Load  
Subject Type: Occupational
Load Formula: T- Lab Load


Description: Overview of data privacy and data integrity, history, concepts, and terminology, and the importance of each in the analytics and programming professions. Discussion of international, national, state and local regulations and guidelines pertaining to data privacy and data integrity. Use of office application software and current technology. Exploration of relevant and emerging regulations, guidelines, and technologies.



MCCCD Official Course Competencies
1. Demonstrate understanding of individual rights as it relates to personal data. (I)
2. Explain responsibilities with respect to personal data vs organizational data. (I)
3. Describe the legal and regulatory implications of data storage and use. (I, II)
4. Demonstrate understanding of various data types. (II)
5. Demonstrate understanding of the social and cultural implications of organizational decisions based on data integrity. (III, IV)
6. Differentiate between collecting, managing, selling, and buying data. (IV)
7. Install biometric tools. (V)
8. Configure biometric tools. (VI)
9.Use biometric tool hardware and software. (VII)
10. Install cognitive software tools. (VIII)
11. Configure cognitive software tools. (IX)
12. Use cognitive tools. (X)
MCCCD Official Course Competencies must be coordinated with the content outline so that each major point in the outline serves one or more competencies. MCCCD faculty retains authority in determining the pedagogical approach, methodology, content sequencing, and assessment metrics for student work. Please see individual course syllabi for additional information, including specific course requirements.
 
MCCCD Official Course Outline
I. Privacy of personal and organizational data
   A. Regulations
      1. General Data Protection Regulation (GDPR)
      2. California Consumer Privacy Act (CCPA)
      3. Personal Information Protection and Electronic Documents Act (PIPEDA)
      4. Family Educational Rights and Privacy Act (FERPA)
      5. Health Insurance Portability and Accountability Act (HIPAA)
      6. Children`s Internet Protection Act (CIPA)
   B. Other regulations
II. Data types
   A. Genetic information
   B. Database
   C. Phone records
   D. Biometric data
   E. Images
   F. Video
   G. Demographics
   H. Others
III. Social and cultural implications
IV. Collecting, managing, selling, and buying data
   A. Data scraping
   B. Data cleaning and integrity
   C. Analysis of data
      1. Analysis
      2. Prominent data tools
      3. Trust
      4. Attributable
      5. Legible
      6. Original
      7. Accurate
      8. Contemporaneous
      9. Complete
      10. Consistent
      11. Enduring
      12. Available
   D. Stakeholder impact and summary
V. Installation of biometric tools
   A. Hardware
   B. Software
VI. Configuration of biometric tools
   A. Hardware
   B. Software
VII. Use of biometric tools
   A. Hardware
      1. Capabilities
      2. Limitations
      3. Opportunities
      4. Application of knowledge
   B. Software
      1. Capabilities
      2. Limitations
      3. Opportunities
      4. Application of knowledge
VIII. Installation of cognitive software tools
IX. Configuration of cognitive software tools
X. Use of cognitive tools
   A. Hardware
      1. Capabilities
      2. Limitations
      3. Opportunities
      4. Application of knowledge
   B. Software
      1. Capabilities
      2. Limitations
      3. Opportunities
      4. Application of knowledge
 
MCCCD Governing Board Approval Date: August 23, 2022

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.