Page 2 - Bioinformatics Brochure
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BioinformaTics:




                                                             BroaD & inTense











                                                            Bioinformatics major
                                                            at Kettering University

                                                            As a Bioinformatics student your curriculum will be as
                                                            broad and inter-disciplinary as the field itself. During
                                                            your first two years you will take courses in Biology,
                                                            Chemistry, Computer Science and Mathematics. Once
                                                            you have built a solid foundation in these areas, you
                                                            are ready to probe the mysteries of genetic coding and
                                                           learn how to algorithmically analyze and exploit the
                                                           information contained in a strand of DNA.
                                                           In Biochemistry, Molecular Biology and Genetics you
                                                           will learn how the organic chemical building blocks
                                                           are structured into genetic structures. You will learn
                                                           how the information contained in these structures
                                                           determines and controls life itself.

                                                          Your advanced Computer Science courses will enable
                                                          you to efficiently store and retrieve the information
         UnconsTrAineD                                    encoded in genetic structures. You will apply

                                                          computationally intensive techniques like pattern
                                                          recognition, data mining, visualization and machine
                                                          learning to help understand biological processes.

                                                          You will graduate with the skills, confidence,
                                                          professionalism and experience necessary to assume
                                                         positions of technical and/or managerial leadership as
                                                         your career develops.






         Understanding                         Bioinformaticists apply the           You could work for Archer-Daniels-
         Genetic Encodings                     principles of biochemistry, biology,   Midland creating new strands of

         Bioinformatics plays a central role   chemistry and computer science        corn that more efficiently produce
                                                                                     ethanol. You could work at other
                                               in research and government labs,
         in understanding genetic encodings    pharmaceutical companies and          alternative fuel companies
         and exploiting this  knowledge        agri-businesses. They search for      pioneering the use of algae in
         to improve the health and well-       patterns of similarity, specific      the production of “green energy.”
         being of a global population. Food    amino acid sequences and ways         You could work at countless
         production, health care, the state    to exploit the vast amounts of        pharmaceutical companies
         of the environment, even national     information contained in DNA          developing new drugs to fight
         security are areas of concern for     molecules.                            disease.
         bioinformaticists.
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