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■ Utilize mathematical, statistical and software tools, environments and databases for effective collection, searching and effective analysis of experimental data. ■ Design and build computational solutions for Biological and chemical problems ■ Design computational solutions derived from biology or chemistry and interpret scientific significance of the results Integration: One of the hallmarks of Gannon’s BINF degree is its integration with the traditional liberal studies education. Gannon BINF majors not only learn computing well, but also learn how to synthesize, think critically and communicate well. In the program, bridging traditional courses like writing, philosophy, theology and ethics begins in the CIS 103 CIS First-Year Seminar, and continues throughout the program, culminating in the BINF 400 Bioinformatics Research course. BINF Electives: Bioinformatics electives are drawn from three areas fundamental to Bioinformatics: Biology, Computing and Mathematics. Pre-approved electives include the following courses: Probability and Statistics 2/MATH 313 Web Management and Design/CIS 240 Microbiology and Lab/BIO 331&332 Multimedia Production/CIS 245-246 or other courses with the permission of the Director of the Bioinformatics Program. All CIS course descriptions are provided in section Computer and Information Science. All BIOL course descriptions are provided in section Biology. All MATH course descriptions are provided in section Mathematics.

COURSE DESCRIPTIONS BINF 100: Introduction to Bioinformatics The course introduces students to the field of bioinformatics. The course includes online computational resources and basic programming concepts. Prerequisite: Permission of the instructor 1 credit, Fall BINF 200: Bioinformatics Tools Analysis of biological molecules and software tools is the focus in this course. Students retrieve and interpret bio-information from the Internet and database and learn tools to solve the problems. Prerequisite: BINF 100 3 credits, Spring BINF 300: Bioinformatics Programming In this course, students learn computational techniques for solving scientific problems focusing on applications in bioinformatics and computational biology. The student develops the ability to convert quantitative problems into computer programs. Prerequisite: BINF 200 3 credits, Fall BINF 400: Research in Bioinformatics Reading and research on a specific topic in computational sciences and informatics chosen and completed under the guidance of a faculty member, resulting in an acceptable technical report. Prerequisite: BINF 300 and CIS 402 3 credits, Spring

Undergraduate Catalog 2014-2015  
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