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And you’ll learn it all at home — no classroom needed! An examination of current societal issues in biotechnology from several perspectives. Emphasis Is On The Interpretation Of Data. A detailed exploration of the business of biotechnology, its structure and operation, and the science upon which this relatively new global industry sector was founded. Discussion covers a wide range of biotechnology applications, from biopharmaceuticals to biofuels, and the technical advances behind them.
A Comprehensive Review Of Current Techniques In Biotechnology Research And Applications. The Development And Use Of Some Of The Techniques Are Placed In Historical Context. Discussion Covers Techniques Used In Genomics, Transcriptomics, And Proteomics And The Applications Of These Techniques. Current Plant And Animal Transformation Methods Are Explained. An overview of the theory and practice of managing projects in any organization.
Discussion covers the various phases of a project, including initiating, planning, executing, monitoring and controlling, and closing the project. Prerequisite: Completion of 27 credits of program coursework. The application of knowledge gained from previous study to real-world business, technical, and ethical issues. Topics include entrepreneurship and new venture creation, progress in biotechnology and prediction of future trends, and ethical development and management. A study of statistical tools—such as Bayesian statistics, Markov processes, and information theoric indices—and how they can be used to analyze sequence homology, the presence of motifs in sequences, gene expression, and gene regulation.
Topics include information content, mutual information, long-range correlation, repeats, Fourier analysis, and linguistic methods. Focus Is On The Use Of Perl And Bioperl As The Basic Programming Tools. Open Reading Frame, Cpg Islands Detection, And Gene Identification. An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems.