ENBC 311
Python for Data Analysis
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.
Prerequisites & course information
Prerequisite: Minimum grade of C- in MATH241 ; 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: BIOE489A, BIOE442 or ENBC311 .
Sources
- Course catalogue ↗2026-2027