Mathematics and Computer Science Department.

 

Mathematics and Computer Science Department

The mission of the Department of Mathematics and Computer Science is to provide contemporary educational opportunities for those in the Drew University community who will benefit from knowledge of mathematics, statistics and computing and the social and ethical environments in which we practice these disciplines. We work with students who wish to pursue careers or graduate studies in fields that make use of computing, applied mathematics and statistics as well as students, staff and faculty across disciplines working on interdisciplinary programs or projects.

We strive to help our students develop the following: a facility for effective problem analysis, a keen sense of the appropriate application of existing problem-solving techniques and technologies, and the ability to innovate when necessary. Furthermore, we endeavor to train students to work effectively in teams and to communicate clearly, orally as well as in writing. We aim to give our students an appreciation of our disciplines’ relevance to various careers and to many aspects of modern life.

Students in the Mathematics and Computer Science department may major in computer science or in mathematics. These studies provide rigor of thought and a background that is in demand not only in careers directly using mathematics and computer science but also in areas such as psychology, law and business, where clear thinking and analysis are indispensable.

Making the Grade

From honors theses and conference presentations to prestigious scholarships, the limit on math and computer science students does not exist. Here are just a few recent highlights from our department.

• Wyatt Olney, 2016: “Automatic Summarization of Source Code for Novice Programmers.” Honors thesis.

• Anastasia Kolovani, 2015: “Increasing Student Interest in Computer Science.” Poster presented at the Grace Hopper Conference, Houston, TX.

• Adam Fanslau, 2015: “Knowd: 
A Tool for Organizing and Recommending Online Learning Resources.” Honors thesis.

• Daniel Gaston, 2015: U.S. Department of State scholarship.

• Timothy Andres, 2014: “Linking the Past with Technology: Web Based Multimedia Annotation and Linking in the DM Project.” Honors thesis.

• Greg Hunt, 2013: “CUR: An Interpretable Alternative to Principal Components Analysis.” Honors thesis.

• Greg Hunt, 2012: Goldwater Scholarship.