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Report on Faculty Exchange and Sabbatical during the 2006-07 Academic Year. Gerald Kruse, Ph.D. Associate Professor of Computer Science and Mathematics kruse@juniata.edu http://faculty.juniata.edu/kruse. 2006-07.
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Report on Faculty Exchange and Sabbatical during the2006-07 Academic Year Gerald Kruse, Ph.D. Associate Professor of Computer Science and Mathematics kruse@juniata.edu http://faculty.juniata.edu/kruse
2006-07 • Faculty Exchange at Fachhochschule (FH) Muenster, in Burgsteinfurt, Germany, during the fall 2006 semester. • Burgsteinfurt is 30 miles outside Muenster, and it is the location of the FH-Muenster Engineering and Technology campus. • Algorithmen und Data Strukturen • Graphical Programming • Sabbatical in Huntingdon, PA, during the spring 2007 semester
We hope to encourage Juniata students to study at FH-Muenster by having a faculty exchange first Faculty Gerald Kruse Thomas Weik Juniata StudentsFH-Muenster Students Tim Auman Robin Segglemann Mike Link Frank Volkmer Sascha Hlusiak Morin Ostkamp
What is Quantitative Literacy? • “The ability to use numbers and data analysis in everyday life.” Bernard Madison, Univ. of Arkansas • “..knowing how to reason and think, and it is all but absent from our curricula today.” Gina Kolata, NY Times • “Having comfort with arithmetic, data analysis, computing, modeling, statistics, chance/probability, and reasoning.” Excerpt from Mathematics in Democracy. While a course in quantitative literacy might focus on practical, real-world problems, it still provides the students with a strong mathematical foundation.
Quantitative Literacy at Juniata College • Juniata has had “Quant-Math” and “Quant-Stat” skill requirement for graduation since the mid-1990’s. • MA 103, Quantitative Methods, was developed by Sue Esch to serve students who do not have courses with quantitative components in their POE’s. • MA 103 is one of the few courses which satisfies both the “QM” and “QS” skills. • A large percentage of students at Juniata satisfy their “Q” graduation requirement by taking MA 103, Quantitative Methods (5 sections per year).
Time for a change… • From 1996 to 2007, the text used in MA 103 was Quantitative Methods, notes written and maintained by Sue Esch (Bukowski and Kruse added as co-authors later), and produced on campus. • Students used two full-feature software packages: Minitab for statistics, and Maple for mathematics. • MA 103 was one of my favorite courses to teach, but I realized that after 10 years it was due for an update.
The Search Begins… • Published texts preferred • Excel-based technology preferred • Many texts considered, three seriously • Frequent consultation with Math department colleagues • Chosen Text: Quantitative Reasoning, by Sevilla and Somers (from Moravian).
Highlights • Pre- and post-assessments of student skills and attitudes • Active learning approach • Technology informs and enhances the math • Open-ended projects • Paper-reduced (assignments posted online, deliverables uploaded) • Provided my Math department colleagues with: daily schedule daily notes suggested homework problems solutions to all Activities
Additional Accomplishments • MAA PREP Workshop on Quantitative Literacy • FH-Muenster Kolloquium: “Google’s Billion Dollar Eigenvector” • SIGCSE Poster: “A Useful Case-Study in Algorithm Experimentation: Unexpected Timing Results with Heapsort” • SIGCSE Special Session: “A Status Report from the Committee to Evaluate Models of Faculty Scholarship” • MAA (Allegheny Mountain Section) Talk: “Are Quicksort and Heapsort Really O(n*lg n)?”