221.684.01
Transforming Health Systems Research through Artificial Intelligence
Location
East Baltimore
Term
3rd Term
Department
International Health
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
In-person
Friday, 9:00 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Artificial Intelligence (AI) models have found extensive applications across academic, industrial, and governmental settings. Are you ready to leverage the power of AI in health systems research?
Equips students with a basic understanding of AI models, from fundamental machine learning algorithms to the latest advancements in large language models and generative AI. Applies AI models to various health research questions via case studies. Designs hands-on sessions to foster theoretical knowledge and practical skills and experience using AI models. Prepares students to leverage AI in addressing the challenges and opportunities in health systems.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Gain technical knowledge in the principles of AI and distinguish between various models, appreciating their conceptual differences, strengths and limitations, within the context of health systems research
- Apply AI for real-world health systems research, considering both technical aspects and ethical implications
- Communicate the results from the AI models to stakeholders and inform policy and practice debates
Methods of Assessment
This course is evaluated as follows:
- 20% Participation
- 30% Assignments
- 20% Final Presentation
- 30% Final Project