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Business Computing Systems

This course investigates how business firms use computing systems to facilitate effective and efficient business processes' thereby improving individual and organizational productivity and competitiveness. The course is geared toward nontechnical professionals who seek an overall understanding of how firms design and deploy computer-based solutions to organizational problems.

Cellular Structure & Funct/Biochemistry

The course combines lecture, small group activities, clinical correlations, problem-based learning, and problem-solving sessions in providing an understanding of the relationship of biochemical principles to human health and disease. Close integration with genetics topics provides a better picture of how biochemistry, molecular biology and genetics contribute to normal human development and medicine. Lecture, 20 hours per week.

Sp Intr Crs: Title To Be Assinged

Interdisciplinary, topical or experimental courses to be approved by the Dean of the College of Arts and Sciences. A particular course may be offered at most twice under the A&S 303 number, and no A&S 303 course may be given for more than six credits per semester. Open to all University students, subject to such limits or prerequisites as set by the instructor. Offered Pass/Fail only.

Sw Perspectives On Human &cult Diversity

This second required course in the human behavior and social environment sequence builds upon the foundation course. The focus of this course is upon the effects of discrimination and oppression experienced by diverse population groups with special attention to the effects of racism, sexism, ageism, classism and geography upon vulnerable groups; and upon institutionalized societal and cultural themes in diversity; with implications for social work practice.

Natural Resource Eco

Economic analysis of natural resource use and environmental issues. Discussion of criteria for public decision making, welfare economics, market failure, benefit-cost analysis, and benefit estimation, as applied to natural resources and the environment.

Quantitative Methods Resource Management

Application of dynamic optimization methods to renewable and nonrenewable resource management. Includes problem formulation, mathematical problem solving, Matlab programming, simulations and optimal policies analysis. Case examples are used to demonstrate applicability and problem formulation in finance and general and partial equilibrium. Prereq: MA 113 and MA 162 or equivalent, and AEC 661 or equivalent.

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