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ENBC 311

Python for Data Analysis

3 Credits

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 .

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