Guy Jacobsohn Memorial Mathematics Colloquium Series
In 1986, the mathematics faculty of Converse College, Wofford College and University of South Carolina Upstate (then USC Spartanburg) joined under the leadership of USC Upstate professor Guy Jacobsohn to sponsor an annual mathematics colloquium series. The colloquia are designed to encourage interaction among mathematics students and faculty.
Each participating institution hosts one mathematics lecture on their campus each semester. Guest lecturers have included nationally recognized mathematicians as well as faculty from the participating colleges, the University of South Carolina and Clemson University. The programs are designed at a level that can be understood by the undergraduate mathematics student. The purpose of the series is to enrich the undergraduate experience and to provide an opportunity for the students and faculty on the three campuses to get to know one another.
Upon the untimely passing of Guy Jacobsohn in the spring of 2003, the series was renamed from the Spartanburg Collegiate Mathematics Colloquium Series to the Guy Jacobsohn Memorial Mathematics Colloquium Series.
For more information please contact Dr. Muhammad Hameed.
Thursday, Oct. 25, 2012: Dr. Tom Wright (Wofford College) - "Numerical Favoritism: How Benford's Law Explains the World."
Abstract: How do you catch a tax cheat? How do you describe a chaotic algorithm? How did people waste time before Angry Birds? In this talk, we discuss how Benford's Law provides a compelling answer to at least some of these questions.
Thursday, Oct. 4, 2012: Dr. Xinli Wang (USC Upstate) - "Statistical Analysis of Type I Diabetes (T1D) Sequence Data."
Abstract: This talk focuses on studying the genetic influence on T1D (Type 1 Diabetes) from SNP (Single-nucleotide polymorphism) data with 1500 controls and 2000 cases. The method is different from the traditional logistical analysis. Here we use mutual information to calculate the pair-wise relationship of SNPs and synergy to calculate the three-way interaction among SNPs. After interested SNPs are selected, we use Bayesian network to analyze the significance of SNP group. Results show several interested groups of SNPs, which may have strong influence on T1D.