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Center for Curriculum and Transfer Articulation
Healthcare Data Analytics, Artificial Intelligence (AI) and Machine Learning
Course: HTM230

First Term: 2020 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 theories and practical applications of Data Analytics, Artificial Intelligence (AI), and Machine Learning. A focus on trends, opportunities, and emerging uses, as well as best practices, limitations, and ethical implications. Hands-on practice with current tools to solve complex healthcare problems.



MCCCD Official Course Competencies
1. Describe the data analytics continuum and how it is being used to improve the healthcare field. (I)
2. Apply analytical tools to solve healthcare problems and improve patient outcomes. (I)
3. Apply critical thinking skills to research, interpret, and visualize data to ethically inform healthcare knowledge and practices. (I)
4. Describe artificial intelligence (AI) and how it is being used to improve the healthcare field. (II)
5. Utilize AI technologies to solve healthcare problems. (II)
6. Explain basic machine learning concepts and methods. (III)
7. Describe trends and opportunities for automation with machine learning to improve the healthcare field. (III)
8. Explain the limitations and ethical considerations in the use of data analytics, AI, and machine learning. (I-III)
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. Data Analytics
   A. Definitions
   B. Integration
   C. Application to healthcare
   D. Skills development
   E. Best practices/use cases
II. Artificial Intelligence (AI)
   A. Definitions
   B. Integration
   C. Application to healthcare
   D. Skills development
   E. Best practices/use cases
III. Machine Learning
   A. Definitions
   B. Integration
   C. Application to healthcare
   D. Skills development
   E. Best practices/use cases
 
MCCCD Governing Board Approval Date: December 10, 2019

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.