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Course Criteria
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3.00 Credits
Introduces students to analytical approaches to linear and nonlinear dynamical systems and computational approaches to self-organizing complex systems, with a primary focus on discrete-time (difference equation) models. Underlying theme is the concept of growth and emergence, with examples extending from simple exponential growth to pattern formations in complex biological and social systems. Also introduces students to computer programming and modeling in Mathematica. Corequisite: BE 203. Prerequisite: WTSN 112 or permission of instructor. fall, 3 cr.
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3.00 Credits
Introduces students to the analysis and modeling of biological networks. Underlying theme is the ubiquity of regular, random and small world networks at the molecular, cell, tissue, organism and population levels, and how such networks can be modified to influence their performance. Linear algebraic techniques are used extensively to analyze network maps. Prerequisites: BE 201 and BE 203 or consent of instructor. spring, 3 cr.
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3.00 Credits
Introduces students to the numerical techniques that will be utilized in subsequent bioengineering courses, with an explicit emphasis on the use of Mathematica in the solution of problems involving iteration, differentiation, integration, solution to ODE and PDE, matrix manipulation, and vector algebra. Prerequisite: MATH 222; corequisite: BE 201 or equivalent experience with Mathematica or other high-level computer language. fall, 3 cr.
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3.00 Credits
211 PROFESSIONAL SKILLS I, II Development of the non-technical skills essential to effective engineering. Specific focus is on the interplay among science, mathematics, graphics and written and oral skills in problem solving, as well as on developing an appreciation for the cultural, social, economic and ecological implications of technology. Prerequisite: none. fall/spring, 1 cr. each
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3.00 Credits
Modeling natural phenomena, such as predator-prey ecosystems, forest fires, ant colonies, etc., in excitable media, using closed-form deterministic models as well as cellular automata models. Comparison and contrast of the strengths and weaknesses of each approach. Consideration and reflection upon implications of modeling with readings in Western philosophy and literature. Prerequisite: BE 201 or experience with a high-level programming language. occasional, 3 cr.
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3.00 Credits
Extends student?s understanding of the capabilities of networked systems with an emphasis on the construction and training of neural networks. Biomimetic concepts, including medical diagnostic applications of supervised learning and evolutionary adaptation. Problem-solving approaches such as genetic algorithms and evolutionary programming/strategies are introduced. Prerequisite: BE 202. spring, 3 cr.
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3.00 Credits
Introduces students to the principles of intellectual property law in the United States, with specific applications to biology, medicine, and biotechnology. Prerequisite: junior standing or higher spring, 3 cr.
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3.00 Credits
The structure and function of cells. Focuses on the anatomy, biochemistry and biophysics of organelles so that a thorough understanding of intracellular and cell-to-cell regulation may be achieved. Special research methods currently used to explore problems in cell biology are emphasized. Both discussion sections and lectures explore current research problems and original data, which are presented in class. The link of cell biology to biotechnology, bioengineering and new medical treatments is emphasized. Prerequisites: BIOL 117 and 118 or equivalent, CHEM 111 ( or 107 and 108). fall, 4 cr.
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3.00 Credits
321 PROFESSIONAL SKILLS III, IV Continuation in the development of the non-technical skills essential to effective engineering, with a specific focus on enhancing creativity and identifying opportunities for innovation. Prerequisite: none. fall/spring, 1 cr. each
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3.00 Credits
(Previously called Evolutionary Physiology) Introduces students to the fundamentals of biologically inspired design, emphasizing the relationship between form and behavior in biological systems with a particular focus on the origin of diversity and novelty in the natural world. Mechanisms of variation in biology (mutation, recombination, transformation, transduction, and fusion) and punctuated equilibrium will be reviewed. Much of the course will focus on microbes, as they make up the majority of the organisms on earth and most innovation in biology occurs at the microbial level. In addition, microbes play critical roles in the fields of human physiology and health, industry, food and drug production (biotechnology), and environmental engineering. Prerequisites: WTSN 111/ 112, BE 351 and BE 311. spring, 3 cr.
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