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Course Criteria
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3.00 Credits
Resource development, that is the identification and successful recruitment of new sources of funds to advance the library and information services program, is an essential aspect of leadership and strategic progress. This course addresses two aspects of resource development: fundraising and entrepreneurial strategies. The conditions and trends in the environment of libraries and information services which drive resource development will be identified. The cultural, organizational, and programmatic elements of successful library fundraising programs will be reviewed and debated, with a particular focus on the role of the library leader. The function of innovation, risk-taking, competition and business planning in enabling and promoting entrepreneurial thinking and action in library and information services will be discussed, with an emphasis on income-generating projects
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3.00 Credits
This capstone course involves sustained interaction with faculty and fellow doctoral students in examining issues critical to managerial leadership and transformational change. It draws on all the theories and skills explored in previous coursework and independent investigation to lead and guide informed conversation about and exploration of leading transformation in information services. Content is flexible in order to serve the competencies, needs, and interests of the student cohort. Assignments and activities include group and individual short papers, in-class presentations, discussion facilitation, and reflection on the group process. These are based on case studies, scenario plans, issue briefs, and similar activities. Work associated with this course does not extend beyond the week of class meeting. Prerequisite: LIS 680.
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4.00 Credits
Individual, in-depth examination of a problem having managerial implications beyond a local setting. The study should culminate in a report of publishable quality. Open only to students in the Doctor of Arts program who have completed 32 semester hours and have successfully passed the comprehensive examination. Note: while working on the study, students are enrolled in LIS 600 in the fall and spring semesters. The semester in which the study is completed, the student enrolls in LIS 699.
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4.00 Credits
Prereq.: Recommendation of the department. Reviews arithmetic, including percents, proportion, and geometric formulae. Covers equations, polynomials, rational expressions, and problem solving. Staff.
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4.00 Credits
Prereq.: Recommendation of the department. Reviews topics from algebra, including equations, polynomials, graphing, systems of equations, rational expressions, inequalities, functions, and problem-solving. Staff.
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4.00 Credits
Prereq.: Completion of the competency in basic mathematics requirement. Covers mathematical ideas and tools for real life: logic and number systems, consumer math (interest rates, credit card debt, investment math), math in business (decision-making), probability and statistics, and problem-solving. Browder.
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4.00 Credits
Prereq.: Recommendation of the department or completion of the competency in basic mathematics requirement. Provides a study of algebra and functions in preparation for calculus. Covers the real number system, algebraic manipulation of polynomials and rational functions, functions and their graphs, trigonometry, and applications. Staff.
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4.00 Credits
Covers topics from arithmetic and algebra that elementary school teachers will be teaching including: number systems, number operations, patterns, relations, functions, and problem-solving.
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4.00 Credits
Prereq: Completion of MATH 115 and competency in basic mathematics requirement. Covers topics from geometry and data analysis that elementary school teachers will be teaching, including shapes and spatial reasoning, measurement, introductory statistics and probability, and problem solving. Staff.
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4.00 Credits
Prereq.: High school algebra and completion of the competency in basic mathematics requirement. Intended primarily for students in the biological, behavioral, or social sciences. Covers elementary principles of probability, binomial, and normal distributions; sample statistics; estimation and testing of statistical hypotheses; and linear regression and correlation. Does not count toward the mathematics major. Staff.
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