ENBC332

Statistics, Data Analysis, and Data Visualization

Prerequisite: Minimum grade of C- in MATH246; and minimum grade of C- in BIOE241 or approved prior study in Matlab. Restriction: Permission of ENGR-Fischell Department of Bioengineering department; and must be in the Biocomputational Engineering major. Credit only granted for: BIOE372, ENBC332 or STAT464. Instructs students in the fundamentals of probability and statistics through examples in biological phenomenon and clinical data analysis. Data visualization strategies will also be covered.

Fall 2025

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Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.77 between 18 students*

ENBC332 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 11.11%
A: 44.44%
A+: 27.78%
B-: 11.11%
B: 5.56%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.