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Biosystems Track of the Graduate Program in Systems Science
Program Educational Objectives Program Educational Objectives A foundation in systems science provides an exposure to contemporary experimental, mathematical, computational and linguistic modeling tools necessary to analyze existing complex systems. These tools include approximate reasoning, fuzzy logic, uncertainty-based information, reconstructability analysis and soft computing techniques. The Biosystems Track of the Systems Science graduate program at Binghamton University will provide the student with the opportunity to develop an advanced understanding of complex systems and to acquire technical skills to utilize these modeling tools to analyze a broad range of living systems, from the molecular to the eco-system level. The requirements for admission to the Biomedical track are the same as those to the Biomedical Engineering graduate program, with the exception that the student's background should be appropriate to complete the Systems Science core courses. The core courses are designed to provide a knowledge base in the modeling and analysis of systems. SSIE 501 Introduction to Systems Science SSIE 505 Introduction to Applied Probability and Statistics SSIE 506 Systems Problem Solving SSIE 520 Modeling and Simulation SSIE 592 Professional Seminar (taken after completing at least 12 credit hours in the program) The core courses will be complemented by elective graduate courses in Biology, Biomedical Engineering, Systems Science, or other graduate program appropriate to the candidate's specialization. Minimum Requirements for Graduation Depending upon the degree sought, minimum requirements include course work, fulfillment of a learning contract, demonstrating an ability to teach, passing a qualifying examination, and submitting and defending Master's or/and Doctoral thesis. For this track all mechanisms of evaluation are regulated by the Systems Science Graduate Program faculty.
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