Spring 2023 Course Descriptions

ES 2-01 Introduction to Computing in Engineering

E. Danahy
MW 10:30-11:45, Anderson Hall 211
E+ Block

An introduction to engineering problem-solving with the aid of computational software. Scientific computing concepts will be introduced including number representation, arrays, structured programming techniques, and good coding practices. Basic numerical and data analysis methods will be introduced including numerical differentiation and integration, matrix operations, descriptive statistics, curve fitting, and optimization. Examples drawn from a variety of engineering disciplines will give students extensive practice in coding solutions and applying them to data.

Prerequisite: MATH 32 recommended

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