Unifying Courses in Different Departments

A task force has been formed for a unified statistics course and has had several meetings. There has been considerable activity about statistics instruction at individual institutions. St. Joseph's has been the lead institution in this effort and a collection of faculty from mathematics, several social science departments and business have been meeting regularly during the 1996-97 academic year to refine plans for a unified course to be jointly taught by faculty in those departments. There are groups of faculty from several departments meeting also at C.W. Post, Farmingdale, and Nassau C.C. Development Fund awards supported statistical materials development at C.W. Post, Farmingdale, Nassau C.C., NYIT, St. Joseph's, and Suffolk C.C.

At the administrative level, the Consortium director has met with Deans at most of the Consortium institutions to work on the political issues (who gets the student workload credit) associated with a unified statistics course. At many institutions, the step directly to one single course may be too much for some social science departments to accept. Instead departments will offer their own courses that start with a collection of core statistical topics in a unified approach and then have additional particular material chosen for their discipline.

Some Examples of Recent Projects Include:

	Analysis Of Political Behavior: The 1996 Presidential Elections Elaine Landy, Sociology Department Thomas Del Giudice, Economics Department SUNY-Old Westbury
	An Interdisciplinary Approach To Statistics Instruction Louis Perone, Mathematics SUNY-Farmingdale
	Integrating Mathematics Of Fairness Into Labor Economics And Economic Development Dieter Zschock, Economics Department SUNY-Stony Brook
	Interdisciplinary Collaborative Learning Approach In Statistics And Manufacturing Hazem Tawfik, Mechanical Engineering Technology Department Louis Perone, Mathematics Department SUNY-Farmingdale
	Design A Sequence Of Courses That Will Integrate The Teaching Of Statistics Across Disciplines William Bengston, Sociology Department Paul Hawryluk, Psychology Department John Hazzard, Sociology Department St. Joseph's College
	Develop Modules For Biology Courses Which Reflect The Importance Of Statistics In The Biological Sequences Linda Magliulo-Cepriano, Biology Department SUNY-Farmingdale
	Statistical Modules For Social Science Instruction Bernard Gorman, Psychology Department Nassau Community College

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The Long Island Consortium is sponsored by the NSF Initiative: Mathematical Sciences and Their Application Throughout the Curriculum, DUE #9555142. The original NSF proposal can be accessed by clicking here.