| Digital health informatics methods |
Overview of major health informatics research areas and methods that contribute to quality improvement, scientific research, and technological innovation in health care and biomedicine. |
| Biostatistics |
Introduction to the fundamental concepts of statistics and the essential methods required to equip students to perform basic statistical analyses and interpret research findings in the public health setting. |
| Digital health for consumers |
Explores wise use of consumer health technologies through dimensions of consumer digital health literacy, global consumer health technology marketplace, lived experiences of active users, and scenarios where consumers are partners in designing and using digitally enabled learning health systems. |
| Leading health care change for impact |
Examines strategies for leading change in clinical settings and health care organizations. |
| Technology and aging |
Examines ways in which recent technological advancements can revolutionize the experience, management, and future of aging. |
| Health care environment evaluation |
Explores the complex, dynamic, interdisciplinary, and multipurpose nature of health care environments focusing on key dimensions of physical workspaces design, virtual work-spaces, and leadership and management practices. |
| Introduction to programming |
Introduction to the fundamental concepts of computer programming and how to solve simple problems using high-level procedural language, with a specific emphasis on data manipulation, transformation, and visualization of data. |
| Law and emerging health technologies |
Examine ways in which law is affecting, and being affected by, the latest advances in medical technology, including genetic, big data analytics, regenerative, therapeutic, artificial intelligence, and reproductive technologies. |
| Innovation and emerging technologies |
Introduction to innovative and contemporary technology that has been recently developed and is currently used in clinical practice and research for the purposes of measurement, diagnosis, and prescription. |
| Sustainability and health care |
Explores the need to urgently formulate adaptation and mitigation strategies, thereby addressing the global climate change emergency, through the lens of sustainable health care. |
| Natural language processing |
Learn computational methods for working with text, in the form of natural language understanding and language generation to develop an understanding of the main algorithms used in natural language processing. |
| Machine learning applications for health |
Introduction to different artificial intelligence applications in health, using different clinical data sources and computational techniques. |
| Indigenous data governance in health |
Provides an overview of the scope of Indigenous data including governance, ethical health research, knowledge translation and evaluation, institutions, and data collections. |
