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MATH 924 - Data Analyses and Statistical Concepts in Biotechnology |
Designed for data interpretation, analysis and statistical application in the biotechnology industry. Students perform analysis of quality and assess risk in making business decisions. It includes discussion of appropriate experimental methods. Students apply statistical analysis software commonly used in biotechnology and professional science industries.
Prerequisites: Acceptance into the P.S.M. program in Biotechnology or Graduate Certificate in Quality Assurance for Biotechnology.
1.000 Credit hours 4.000 Lecture hours Levels: Graduate, Non-Matriculated Schedule Types: Independent/Directed Study, Lecture Division of Graduate & Cont Ed Division Mathematics Department Course Attributes: Graduate Level Course, Quality Assrnc Biotech Certifc, P.S.M. - Biotechnology Restrictions: Must be enrolled in one of the following Fields of Study (Major, Minor, or Concentration): Biotechnology Cert_Quality Assurance Biotech |
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