Jun 25, 2022  
2019-2020 Catalog 
    
2019-2020 Catalog [ARCHIVED CATALOG]

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ATE 252 - Explorations in Transportation Innovation, Experimental


Credits: 3
3 Skills Lab Hours

Description
Modern transportation systems increasingly involve computerized mechanisms for control, analysis, and design. Drawing on the tools and methods of automotive technology, mechatronics, and data analytics, students explore transportation related problems through hands-on, project-based learning in each discipline. Students will draw on problem-solving frameworks used by each discipline to generate innovative ideas for presentation to industry partners. As a survey course, students from all academic disciplines at any stage of degree progression will acquire transferrable skills relevant to their own domain.
Learning Outcomes
Cross-cutting objectives

  1. Navigate the interconnectedness of technology related to transportation
  2. Collaborate on an interdisciplinary team to pursue a shared line of inquiry related to a transportation concern
  3. Analyze the ethical and environmental dimensions associated with technical transportation systems 

Data analytics

  1. Identify and describe the sources and structure of data in the transportation domain (spatial data, longitudinal data, sensor output data, crash reporting data, crowd-sourced data)
  2. Generate data-driven inquiry questions that inform a broader line of inquiry related to a transportation concern (e.g. vehicle energy efficiency, road grid design, safety system analysis)
  3. Gather data from primary or secondary sources connected to the chosen pathway of inquiry
  4. Transform and map raw data into structures and formats appropriate for analysis
  5. Present data-backed conclusions to an audience and include a discussion of the limits of appropriate application of the findings

Automotive technology

  1. Hands-on repair and installation of electronic sensors (e.g. accelerometers, fuel consumption, etc.)

Mechatronics

  1. Use of programmable logic controllers to automate responses to sensor data
Listed Topics
  • Transportation system analysis
  • Problem diagnosis and solution planning
  • Data analytics and optimization
  • Sensing and device communication
Reference Materials
Instructor approved materials will be used.
Students who successfully complete this course acquire general knowledge, skills and abilities that align with CCAC's definition of an educated person. Specifically, this course fulfills these General Education Goals:
  • Critical Thinking & Problem Solving
  • Culture Society & Citzenship
  • Information Literacy
  • Technological Competence


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