Catalog Course Search Details

 Department:    IMDS

 Course #:    235

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    30.7101

 EPC:    573

 REV:    2021

 Course Description  

An introduction to ethical and legal frameworks to initiatives in the data and related professions, including practical approaches to data and analytics problems posed by big data, data science, and concepts related to artificial intelligence.

 Prerequisite  

Prerequisite: IMDS 101 with a grade of C or higher.

Contact Hours (based on 11 week quarter)

Lecture: 55

Lab: 0

Other: 0

Systems: 0

Clinical: 0

Intent: Distribution Requirement(s) Status:  

Vocational Preparatory Required for ATA degree  

Equivalencies At Other Institutions

Learning Outcomes

After completing this course, the student will be able to:

1. Apply basic legal and ethical concepts to data scenarios.
2. Discuss the power and impact of analytics.
3. Explain ethical issues concerning fairness, bias, personal data use, and privacy.
4. Discuss how business analytics is changing business needs, requirements, and conduct.
5. Discuss the ethical and legal issues regarding the use of artificial intelligence.

General Education Learning Values & Outcomes

Revised August 2008 and affects outlines for 2008 year 1 and later.

Course Contents

1. Introduction to data�s ethical and legal foundations and practice.
2. Introduction to data bias and identity.
3. Introduction to data privacy and power.
4. Business and ethical data use and related data privacy.
5. Future of artificial intelligence and ethical concerns.