Introduction to programming
- Describe algorithm, sequencing, and order in programming
- Write programming syntax to solve a stepwise simple problem
- Recognize common programming errors and develop strategies for debugging code
- Define types of data, including numeric and strings, and list types of variables
Data analysis
- Describe introductory statistics functions such as frequency, summarizing, relations, and regression lines
- Write functions in Excel to analyze data such as average, sum, texts from dates, etc.
- Import datasets to Python and clean the data
- Create data frame manipulation and summarize the data in Python
- Build simple machine learning regression models in Python
- Create and manipulate matrices and vectors in MATLAB
- Import data to MATLAB, manipulate and summarize data, and export results
- Write syntax for conditional statements and loops to summarize and categorize data
Data visualization
- Plot 2D data using Excel and select appropriate formatting for charts
- Write syntax in MATLAB to create 2D and 3D plots
- Create interactive plots to evaluate data with respect to different categories or changes in inputs
Problem solving using numerical methods
- Set up mathematical equations to find a solution for a simple mechanical/electrical system
- Apply “goal seek”, “what if analysis” and “solver” in Excel to solve a system of mathematical equations
- Solve problems involving linear equations, root finding, curve fitting, error properties, and numerical precision
- Create integrated functions in MATLAB to find solutions for mathematical equations
Engineering team solutions
- Work in teams to formulate a complex engineering problem into a system of mathematical equations
- Create a set of functions in MATLAB to provide a solution for a complex engineering problem
- Communicate project outcomes effectively using visual and written means

ENGR125

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Introduction Computation for Engineers

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