BIOE442

Python: Introduction to Programming and Data Analysis

Prerequisite: BIOE241, BIOE120, BIOE121, and MATH241; or permission of ENGR-Fischell Department of Bioengineering department. Restriction: Permission of ENGR-Fischell Department of Bioengineering department. Credit only granted for: BIOE489A or BIOE442. Formerly: BIOE489A. Provides an introduction to structured programming, computational methods, and data analysis techniques with the goal of building a foundation allowing students to confidently address problems in research and industry. Fundamentals of programming, algorithms, and simulation are covered from a general computer science perspective, while the applied data analysis and visualization portion makes use of the Python SciPy stack.

Spring 2026

2 reviews
Average rating: 4.00

Winter 2026

2 reviews
Average rating: 4.00

Fall 2025

1 review
Average rating: 5.00

Spring 2025

2 reviews
Average rating: 4.00

Past Semesters

1 review
Average rating: 5.00

2 reviews
Average rating: 4.00

1 review
Average rating: 5.00

1 review
Average rating: 5.00

2 reviews
Average rating: 4.00

1 review
Average rating: 5.00

1 review
Average rating: 5.00

2 reviews
Average rating: 4.00

1 review
Average rating: 5.00

0 reviews
Average rating: N/A

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 3.52 between 303 students*

BIOE442 Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 15.51%
A: 35.31%
A+: 17.82%
B-: 1.65%
B: 6.6%
B+: 14.52%
C-: 0.33%
C: 1.32%
C+: 1.65%
D-: 0.33%
F: 1.65%
W: 2.64%
other: 0.66%
* "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.