Transforming Ideas to Innovation

Contents

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.

Course Outcomes#

CO 1.1:

Visually represent data and derive meaningful information from data.

CO 1.2:

Apply key engineering statistics concepts including mean, median, mode, variance and standard deviation to engineering problems.

CO 1.3:

Use evidence to develop and optimize solution. Evaluate solutions, test and optimize chosen solution based on evidence.

CO 2.1:

Contribute to team products and discussions.

CO 2.2:

Reflect on both personal and team’s problem solving/design approach and process for the purpose of continuous improvement.

CO 3.1:

Communicate engineering concepts, ideas and decisions effectively and professionally in diverse ways such as written, visual and oral.

CO 3.2:

Seek, find, use, and document appropriate and trustworthy information.

CO 4.1:

Develop code solutions that address engineering questions and follow professional programming standards.

CO 4.2:

Understand and implement basic and intermediate programming structures: sequential structures, selection structures, repetition structures, and nested structures.

CO 4.3:

Create adaptable, reusable programming routines.

CO 4.4:

Apply design ideas to programming solutions.

CO 4.5:

Read and apply flowcharts as a visual representation of a process.

CO 5.1:

Describe at least three engineering majors offered at Purdue.

CO 5.2:

Discuss how at least three engineering majors offered at Purdue may or may not relate to your own career goals.