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MATH 3336 Tian Hong | |||||
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MATH 3336 Tian Hong | |||||
Bioinformatics
MATH 3336 (Same as BIMS 3336 and STAT 3336 and BIOL 3337)
School of Natural Sciences and Mathematics
This course introduces mathematical and computational methods for analyzing and interpreting molecular biology data. The focus will be on biological sequence (DNA, RNA, and protein) analysis and its applications. Topics include working with biological databases, sequence alignment and analysis, molecular phylogeny and evolution, protein structure, and prediction. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2419) and (STAT 2332 or STAT 3332).
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Bioinformatics
MATH 3336 (Same as BIMS 3336 and STAT 3336 and BIOL 3337)
School of Natural Sciences and Mathematics
This course introduces mathematical and computational methods for analyzing and interpreting molecular biology data. The focus will be on biological sequence (DNA, RNA, and protein) analysis and its applications. Topics include working with biological databases, sequence alignment and analysis, molecular phylogeny and evolution, protein structure, and prediction. 3 credit hours.
Prerequisites: (MATH 2414 or MATH 2419) and (STAT 2332 or STAT 3332).
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.
