Undergraduate Health Care Emphasis Courses
AIS 200 Principles of Artificial Intelligence
This course provides students with the understanding of the key principles, techniques, and applications associated with artificial intelligence (AI) for business strategies and transformation. Students will gain knowledge about knowledge representation, game theory, search problems using computational theories. The course will also explore different issues surrounding AI such as ethics and bias. Some key concepts and terms like deep learning and neural networks will also be covered as part of the course.
AIS 300 Principles of Data Analytics
This course introduces you to the basics of data science and data analytics for handling of massive databases. The course covers concepts data mining for big data analytics, and introduces you to data visualization and some basic statistical concepts for data science.
HIM 301 Introduction to Health Informatics
This foundational course details the history and factors driving the emergence of health informatics. In addition to emphasizing the concepts, terminologies and scope of health informatics, the course delves into health information exchanges, data standards, health informatics ethics, online resources and E-research. The course includes an overview of basic database architecture, design and file structure, and data warehousing and data mining in health care.
HCA 205 Introduction to Health Care
This is an introductory course that explores the historical evolution of health care in the United States, its financing sources, technology, delivery of care and the stakeholders who comprise the health care system. The structure of the health care system, including the Patient Protection and Affordable Care Act, better known as Obamacare, will be discussed along with the various components that influence health care such as legal, ethical, regulatory, and fiscal forces. Students will also explore other health care systems and examine the potential future of health care in the United States.