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Fundamental principles, concepts, and methods of computing, with emphasis on applications in the physical sciences and engineering. Basic problem solving and programming techniques; fundamental algorithms and data structures; use of computers in solving engineering and scientific problems. Intended for engineering and science majors. Course Information: Prerequisite: One of MATH 220 or MATH 221 or MATH 231 or MATH 241. Class Schedule Information: Students must register for one lab-discussion and one lecture section. Engineering students must obtain a dean's approval to drop this course after the second week of instruction.

(Required) A Primer on Scientific Programming with Python, 5th edition, Hans Petter Langtangen, ISBN: 978-3-662-49886-6

Goal 1 Students should be able to solve problems algorithmically.

Goal 2 Students should be proficient in “computational thinking”, meaning that students should be able to conduct major- appropriate abstraction, modeling, representations of information, and algorithmic thinking related to solving engineering problems.

Goal 3 Students should be confident about using computation as a standard tool, on the same level as math and physics.

Goal 4 Students should be able to program in a high-level language (e.g., Python or MATLAB).

Goal 5 Students should access data sources, process data, and create outputs including various, plots.

Goal 6 Students should use MATLAB proficiently.

Functions and scripts
Variables
Statements
Libraries
File I/O
Plotting
Symbolic Algebra & Calculus
Numerical Algebra & Calculus
Numerical Optimization
Curve Fitting & Regression

Required in most Engineering programs.