"Wells has allowed me to teach in all these fields, and to enjoy the remarkable cross-disciplinary energy that abounds among our faculty and students. Mathematics is one of the original seven liberal arts, and one of the oldest and most universal pursuits of humankind. Statistics, making sense of packs of numbers (and other kinds of data)—and using them to make sense of the world—is only a couple of hundred years old as a discipline. Computer Science, taking things too complicated or too boring to do by hand and breaking them down into instructions a machine can follow, is much younger—hardly older than me."
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A happy confluence of needs brought Dr. Sievers to Wells many years ago to teach statistics and mathematics part time, and the relationship has happily continued. As computers morphed from being beasts that had rooms of their own, to becoming (comparatively) friendly interactive machines (with backspace keys), she has pursued interests in various aspects of computer science, even managing the computer labs near their beginning. The beauty and utility of these three disciplines, and their interconnections, underlie the pleasure she takes in teaching in them. Philip W. Lavori, Sally R. Sievers, Peter Jutro, Anil Nerode, "Risk Assessment for Toxic Substances, Part II: Exploratory Data Analysis for Cadmium in Sludge," The Environmental Professional, v. 4, pp. 365-377, 1982
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Lecturer of Mathematics and Computer Science sievers@wells.edu 315.364.3210 MacMillian 102 http://aurora.wells.edu/~srs |
