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Course Criteria
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3.00 Credits
Initial exploration of art as a mode of human expression for children and adults in therapeutic settings, such as special education classes, mental health clinics, developmental centers, community centers, etc. Volunteer work in human-services agency.
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3.00 Credits
In-depth exploration of theoretical and practical relationships within art programs designed to serve people with exceptional needs in schools and other human-services agencies. Art activities as a diagnostic agent and as a means for establishing settings that promote individual growth, self-awareness, self-concept development, and self-expression. Supervised fieldwork in special-education settings.
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3.00 Credits
3, 3/0; K Non-majors only. The unifying principles of modern biology with special emphasis on cell biology, metabolism, and genetics.
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3.00 Credits
3, 3/0; K Non-majors only. Biological aspects of global environmental problems. Principles of ecology.
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3.00 Credits
Prerequisite: BIO 100. Non-majors only. Morphology and physiology of bacteria. General application to household science, sanitation, hygiene, and infectious disease.
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3.00 Credits
4, 3/3; K The chemicals of life and their hierarchal organization in cells. Cell organelles. Metabolism and energy transformations. Cell division, gene expression, Mendelian and population genetics. Biotechnology in human health, nutrition and society.
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3.00 Credits
4, 3/3; K Origins and history of life. Functional biology of animals and plants studied in an integrated fashion. Survey of morphology, physiology, development, reproduction and life cycles of animals, plants, fungi and microbes.
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3.00 Credits
4, 3/3; K Population, community and ecosystem ecology; human impact on the environment. The Darwinian revolution, evolution of populations and the formation of new species. Principles of animal behavior.
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4.00 Credits
4, 3/3 Prerequisites: Algebra, upper-division status. Statistical inference as a guide to decision making during biological investigations. Elements of experimental design. Exploratory data analysis. Tabular, graphical, and written interpretation of results. Application of inferential techniques including confidence intervals, t-tests, analysis of variance, chi-square analysis of contingency tables, and linear regression and correlation.
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