ID
7318

Social Work and Human Services

An introductory overview of social welfare and the societal institutions in the U.S. that structure the provision of social services. The course presents a historical perspective on the development of U.S. social work and human services. Special attention is given to current service delivery systems, their policies and procedures, and the tasks of culturally responsive social workers and human service workers within those settings.

Introduction to Sociology

Designed for general education or those students majoring in one of the Behavioral Sciences. Introduction to human interaction from the sociological perspective and through the utilization or sociological concepts, theories and principles. Topics include culture, socialization, organizations, deviance, stratification, institutions, population, and social change.

Research Methods

An introduction to research methods in psychology. This course presents how researchers in psychology use critical analysis, theories, and methods to generate usable information. Emphasis on research design, experimental procedures, instrumentation, qualitative methods, and the analysis, interpretation, and reporting of findings. Attention is paid to strategies to decolonize psychological research.

Psych Statistics

An introduction to data analysis including measurement and research design. Intended for general education and prospective behavioral science majors. The course will focus on computation, interpretation, and application of both descriptive and inferential statistics. Topics include organization of data, central tendency and variability, hypothesis testing, non-parametric statistics, analysis of variance (ANOVA), and linear regression.

Psych Statistics

An introduction to data analysis including measurement and research design. Intended for general education and prospective behavioral science majors. The course will focus on computation, interpretation, and application of both descriptive and inferential statistics. Topics include organization of data, central tendency and variability, hypothesis testing, non-parametric statistics, analysis of variance (ANOVA), and linear regression.