Transforming Ideas to Innovation

ENGR 133 covers the following topics during the semester:

• Data analytics (calculations, descriptive statistics, histograms, probability, charts, and regression).

• Academic integrity and ethics.

• Communication (reports, peer review, and information literacy).

• Teaming (team dynamics, team member roles, diversity, and code of cooperation).

• Team projects (modeling and design).

• Excel basics (calculations, importing data, relational operators, plotting data).

• Python basics (scripts, data types, importing data, relational operators, logical operators, plotting data, user-defined functions, selection structures, while loops, for loops, and nested loops).

• MATLAB basics (calculations, scripts, importing data, publishing code, relational operators, logical operators, plotting data, user-defined functions, selection structures, while loops, for loops, and nested loops).

• Overview of engineering majors offered by Purdue University.

For detailed course learning outcomes, please read the syllabus.