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University Programs

The university offers a range of programs for students, including undergraduate and graduate degrees.

Undergraduate Programs

• Integrative Data Science (B.A., B.S.)
• Social Work (B.A.)
• Social Work (B.S.)
• Social Work (B.S.) (adult evening program)

Course Descriptions

SOCWK 4650 Research Informed Practice

An introduction and overview of research methods used in generalist social work practice. Course content includes both quantitative and qualitative methods and emphasizes critiquing research, program evaluation, methods of data collection and analysis, single-subject design, ethical considerations, and the application of evidence-based practice to improve policy and social service delivery. Prerequisite(s): Junior standing, SOCWK 1150 Introduction to Social Work, full admission to social work program, and one of the following Statistics courses: SOC 2910 Social Statistics or PSYCH 2100 Psychological Statistics or ECON 2100/ BUSAD 2100 Business and Economic Statistics or MATH 1300 Statistics.
(Normally offered each semester.)

SOCWK 1150 Introduction to Social Work

Survey of the field of professional social work, including the roles, philosophy, values, skills, and knowledge base needed. Areas of practice and career expectations are explained.
(Normally offered each fall semester.)

SOC 2910 Social Statistics

In this course students are introduced to descriptive and inferential statistics and their applications to sociological research. Statistical procedures include central tendency measures, variability, t-test, one-way ANOVA, correlation, regression, and chi square. The course also includes specific training in using SPSS for analysis.
Prerequisite(s): SOC 1110 Introduction to Sociology.
(Normally offered each spring semester.)

PSYCH 2100 Psychological Statistics

An introduction to descriptive and inferential statistics as decision-making guides in psychology and related fields. Topics include organization, analysis, presentation, and interpretation of data with emphasis on the hypothesis testing model of inference. Specific procedures include z-tests, t-tests, analysis of variance, and correlation. A laboratory section is required for computational experience.
Prerequisite(s): PSYCH 1010/PSYCH 1010FYW Introduction to Psychological Science and sophomore standing.
Recommended: College level mathematics course.
(Normally offered each semester.)

ECON 2100 Business and Economic Statistics

See BUSAD 2100 Business and Economic Statistics.

BUSAD 2100 Business and Economic Statistics

An introduction to descriptive and inferential statistics. Topics include gathering, organizing, interpreting, and presenting data with emphasis on hypothesis testing as a method for decision making in the fields of business and economics. Procedures include z-tests, t-tests, ANOVAs, correlation, and simple regression.
Cross listed with ECON 2100.
Prerequisite(s): Demonstrated proficiency in high school algebra or permission of the instructor.
(Normally offered each semester.)

MATH 1300 Statistics

An introduction to statistics concepts with an emphasis on applications. Topics include descriptive statistics, discrete and continuous probability distributions, the central limit theorem, confidence intervals, hypothesis testing, and linear regression.
(Normally offered each fall semester.)

Academic Policies and Procedures

The university reserves the right to make changes in the regulations and offerings announced in the official online version, as circumstances require. It is expected that the only changes will be the correction of errors and the inclusion of new courses and programs approved during the academic year.