Catalog Version

Winter/Spring/Summer 2014-2015
Catalog update:
October 17, 2014

Access archived catalogs in the Catalog Archive section.​​​​​

Students are required to follow the Academic Handbook and Code of Student Responsibility​​

Courses in the Scientific Inquiry domain are designed to provide students with an opportunity to learn the methods of modern science and its impact in understanding the world around us. Courses are designed to help students develop a more complete perspective about science and the scientific process, including: an understanding of the major principles guiding modern scientific thought; a comprehension of the varying approaches and aspects of science; an appreciation of the connection among the sciences and the fundamental role of mathematics in practicing science; an awareness of the roles and limitations of theories and models in interpreting, understanding, and predicting natural phenomena; and a realization of how these theories and models change or are supplanted as our knowledge increases.

Where required, the Quantitative Reasoning and Technological Literacy sequence (LSP 120 & LSP 121) is a prerequisite for SI Domain courses.  Students have the option to test out of one or both of these courses.  Generally three SI courses are required and one course must be designated as an SI lab course. Students who complete both LSP 120 and LSP 121 will have their total Domain Area requirements reduced by one.  Within the SI Domain, only non-lab SI courses are eligible for this reduction.  


Below please find examples of courses previously offered for scientific inquiry credit. For information on current offerings, please consult Campus Connection.

Scientific Inquiry: Lab Courses


Art Media and Design

Biological Sciences


Computer Graphics and Animation

Digital Cinema

Environmental Science



STEM Studies

Scientific Inquiry: Non-Lab Courses


Biological Sciences


Computer Science

E-Commerce Technology

Environmental Science


Human Computer Interaction

Information Technology

Interactive and Social Media




    School for New Learning


    STEM Studies

    ​Telecommunication and Data Systems

    LSP 120


    This course provides a mathematical foundation for students to become confident and critical users of quantitative information of all kinds: numerical, graphical, and verbal. Students analyze data from a wide variety of fields, making and critiquing quantitative arguments. Mathematical topics include proportional reasoning and rates, the making and interpretation of graphs, linear and exponential models, logarithms, and finance. The course is taught in a hands-on laboratory environment where students are introduced to computer tools for data analysis and presentation. PREREQUISITE(S): MAT 100, MAT 101, or demonstrating readiness via the math placement test taken at matriculation. As an alternative to taking LSP 120, this requirement can be met by passing a separate LSP 120 Proficiency Exam (see A student whose major requires calculus is exempt from this requirement. Formerly ISP 120.
    ISP 110 or MAT 100 or MAT 101 or placement by test is a prerequisite for this class.

    LSP 121


    This course provides more advanced mathematical and computational methods in the analysis and interpretation of quantitative information. Topics include databases, descriptive statistics, measures of association and their interpretation, elementary probability theory, and an introduction to algorithms and computer programming. The course is taught in a hands-on laboratory environment where students are introduced to advanced computer tools for data analysis, including databases and a professional statistical software package. PREREQUISITE(S): LSP 120 or a passing score on the LSP 120 Proficiency Exam. As an alternative to taking LSP 121, this requirement can be met by passing a separate LSP 121 Proficiency Exam (see A student whose major requires calculus is exempt from this requirement. Formerly ISP 121.
    LSP 120 or (MAT 147 or above) is a prerequisite for this class.

    A&S 491


    This course concerns theoretical concepts and empirical research relating to administrative behavior in organizations with special reference to educational organizations. Concepts are examined within the typical decisional framework of supervisors, chief school business officers, principles, and superintendents, and similar positions in the helping professions. Assignments are individualized.
    Status as an Advanced Masters Education student is a prerequisite for this class.

    IM 222


    This course discusses the basic problems and techniques of visualizing quantitative and qualitative data. Topics include: perception, types of information, representation of univariate and multivariate data and relational information, analysis of representations, presentation, and dynamic and interactive visualizations. Students will create visualizations using graphical software PREREQUISITES: LSP 120