Core - Social and Behavioral Science (CSBS)

The College of Social Sciences offers a series of college-wide foundation courses in social science theory, statistics, computer-aided statistics, quantitative research methods and qualitative research methods. These classes may be required or listed as options in each of the social and behavioral science majors. Check the foundation course requirements in the specific major.


CSBS 110. PRACTICUM IN COMMUNITY INVOLVEMENT. 2-5 Credits.

This course provides students with an intensive practicum experience working with a local or regional agency.

CSBS 196. EXPERIMENTAL COURSE. 1-5 Credits.

CSBS 197. WORKSHOP, SHORT COURSE, CONFERENCE, SEMINAR. 1-5 Credits.

Workshop

CSBS 200. INTRODUCTION TO LEADERSHIP. 3 Credits.

An introduction to basic leadership skills, this course will cover models in a variety of areas such as communication, decision making, problem solving, time management, conflict resolution and ethics.

CSBS 296. EXPERIMENTAL COURSE. 1-5 Credits.

Experimental

CSBS 310. FOUNDATIONS OF SOCIAL AND BEHAVIORAL SCIENCES THEORY. 5 Credits.

Pre-requisites: completion of the general education core course requirements in the social sciences as specified in this catalog or permission of the instructor.
This course is intended to expose the philosophic choices and historical constraints that underlie all of the social and behavior sciences. In terms as simple as possible, we explore foundational alternatives (which may include idealism vs. materialism, individualism vs. holism, structure vs. agency, value neutrality vs. social critique) and the impact of history on the social and behavioral science. By emphasizing the controversiality and diversity within the disciplines, and the social contexts that shape them, we encourage students to discover sharply critical perspectives on the social and behavioral theories that claim to tell us how the world works.

CSBS 320. INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES. 5 Credits.

Pre-requisites: MTHD 104 or mathematics clearance by test. MATH 107 recommended.
Introduces the theory and procedures underlying the use of statistics in the social sciences. During the first half of the class, methods are presented for organizing distributions, summarizing their key properties, conveying the relative standing of individual scores in distributions, and measuring relations between pairs of variables. Commonly used procedures for testing hypotheses in the social sciences are presented in the second half of the class.

CSBS 321. COMPUTER AIDED DATA ANALYSIS. 4 Credits.

Pre-requisites: CSBS 320 or equivalent, CPLA 120 or  equivalent.
Introduces the use of SPSS running on personal computers for analyzing data in the social sciences. Topics include basic tasks such as entering and transforming data. Procedures covered include obtaining summary statistics of single varaiables, graphing variables organizing multivariate data, and testing hypotheses with t-tests, the analysis of variance, regression, and selected nonparametric tests. Fundamentals of factor analysis and discriminat function analysis are introduced with guidelines for interpreting output.

CSBS 396. EXPERIMENTAL COURSE. 1-5 Credits.

CSBS 399. DIRECTED STUDY. 1-5 Credits.

Directed Study

CSBS 494. LEADERSHIP PORTFOLIO. 2 Credits.

Pre-requisites: permission of certificate advisor.
Supervised by the certificate advisor, students will compile an assessment portfolio of significant assignments completed during the certificate program. In addition, students will enhance the portfolio by completing various exercises, including the development of a formal statement regarding their leadership philosophy. These statements will integrate various concepts and theories surveyed and critiqued during the certificate program. Students are required to give an oral presentation of their statements to an audience composed of invited peers, faculty, and Certificate Advisory Board members.

CSBS 496. EXPERIMENTAL COURSE. 1-5 Credits.

CSBS 498. SEMINAR. 1-5 Credits.