Student 445471’s Profile Student

This course builds upon the student’s knowledge of nursing and provides the requisites required for practice as a community health nurse. The focus is on health promotion, disease prevention and maintenance of health, which is the core of community-based care. Selected concepts such as evidence-based care that contribute to the foundation of community-based nursing will be discussed. The course will examine historical perspectives, the value of community health, the nurse’s present day professional expectations and accompanying changes in responsibilities, accountability for practice and ethical and transcultural considerations. The curriculum will focus on specific contemporary community health issues including communicable diseases, mental health and preparedness for bioterrorism.

This course builds upon the student’s knowledge of nursing and provides the requisites required for practice as a community health nurse. The focus is on health promotion, disease prevention and maintenance of health, which is the core of community-based care. Selected concepts such as evidence-based care that contribute to the foundation of community-based nursing will be discussed. The course will examine historical perspectives, the value of community health, the nurse’s present day professional expectations and accompanying changes in responsibilities, accountability for practice and ethical and transcultural considerations. The curriculum will focus on specific contemporary community health issues including communicable diseases, mental health and preparedness for bioterrorism.

A 3 credit introductory course. Topics include sample space, expectation and variance, binomial, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do 2 projects in groups and chose one to present one at the end of the semester.

A 3 credit introductory course. Topics include sample space, expectation and variance, binomial, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do 2 projects in groups and chose one to present one at the end of the semester.