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Programming in the Biological Sciences for Graduate Students
BIOL 5312
School of Natural Sciences and Mathematics
Principles and fundamentals to programming practices using Python. Loops and iterations; function parameters, modules, and packages. Special emphasis on programming paradigms like object-oriented programming and data structures like vectors, tuples, and dictionaries. Applications to processing, modeling, and analysis of biological data. Fundamentals and use of tools for biological computation including Biopython. Usage of Python Notebooks as an environment to perform computations and run programs. Application of programming techniques to solve problems in research with a focus on biological data analysis and modeling. 3 credit hours.
Offering Frequency: Each semester
Grades: 39
Median GPA: A-
Mean GPA: 3.527
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Programming in the Biological Sciences for Graduate Students
BIOL 5312
School of Natural Sciences and Mathematics
Principles and fundamentals to programming practices using Python. Loops and iterations; function parameters, modules, and packages. Special emphasis on programming paradigms like object-oriented programming and data structures like vectors, tuples, and dictionaries. Applications to processing, modeling, and analysis of biological data. Fundamentals and use of tools for biological computation including Biopython. Usage of Python Notebooks as an environment to perform computations and run programs. Application of programming techniques to solve problems in research with a focus on biological data analysis and modeling. 3 credit hours.
Offering Frequency: Each semester
Grades: 39
Median GPA: A-
Mean GPA: 3.527
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