Social epidemiology is a branch of epidemiology that focuses particularly on the effects of social-structural factors on states of health. Social epidemiology assumes that the distribution of advantages and disadvantages in a society reflects the distribution of health and disease. – Honjo (2004). This course provides a non-technical overview of social epidemiology and its role in public health theory and practice, with emphasis on the social dimensions of health, illness, and injury. Topics include the history and conceptual basis for epidemiology; the basic tools of epidemiologic analysis, including case definitions and populations, incidence, prevalence, and case-fatality rates; public health surveillance and measures of health status; methodological approaches to inference, association, and causation; and the analysis of harm, benefit, cost, and intervention effectiveness. This course may be offered as an online class. CIS CC 300 Introduction to Artificial Intelligence (3 credits) This course serves as your gateway to unraveling the mysteries of AI, providing a solid foundation in its principles and components through hands-on examples and real-world applications. From mastering machine learning and diving into deep learning, robotics, and natural language processing to unlocking the secrets of computer vision, you will explore the diverse landscape that AI encompasses. By the end of the course, you'll possess a breadth of knowledge in AI and a nuanced understanding of the infrastructure essentials crucial for AI development and deployment. 2026-2027 Catalog | 187
- Subject
- CHE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credits
- Type
- course
- Edition
- 2026
- Source
- www.mcny.edu