ENGR125

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