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AUE 4220: Auto Electronics Integration
3.00 Credits
Clemson University
This fundamental automotive electronics course covers automotive electronic systems, automotive sensors, automotive actuators, automotive batteries and buses, automotive controllers, automotive sensing signal processing technologies, automotive control technologies, and hands-on embedded automotive electronics practice. Preq: AUE 2020 with a grade of C or better and ECE 2070 and ME 2060. Preq or concurrent enrollment: ME 3050.
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AUE 4310: Automotive Engr Design Project
3.00 Credits
Clemson University
Project-based application of engineering concepts to address real-world, open-ended, multidisciplinary automotive-focused opportunities. Students work in small teams to design, analyze, prototype, and validate their solutions with the guidance of faculty mentors. Regular technical documentation and professional communication of results is required. The course contains a combination of lectures and weekly mentoring sessions. Preq: AUE 2010 and AUE 3020 and AUE 3110 and AUE 4210 and AUE 4220.
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AUE 4600: Dynamics of Vehicles
3.00 Credits
Clemson University
Introduces techniques for analyzing the dynamic behavior of vehicles. Types of vehicles to be considered are chosen from aircraft, surface ships, automobiles and trucks, railway vehicles, and magnetically levitated vehicles. May also be offered as ME 4600. Preq: ME 3050.
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AUE 4610: Adv & Electrified Powertrains
3.00 Credits
Clemson University
Addresses key aspects of automobile powertrain engineering, from government regulation to sub-system design. Powertrain operational requirements are discussed in the context of vehicle-level performance, fuel economy and emissions. The function, design, performance and engineering requirements of engines, transmissions, electric motors and high voltage batteries are described in detail. May also be offered as ME 4610. Preq: ENGR 1410 (or ENGR 1070 and ENGR 1080 and ENGR 1090) and ME 3030.
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AUE 4620: Digital Automotive Manufact
3.00 Credits
Clemson University
Digital and Smart Manufacturing sensing, control and information technologies in use in the automotive industry. This course explores the framework and definitions of Smart Manufacturing systems, information generation approaches and tradeoffs, signal processing and fusion strategies and their selection, and considerations for local (edge) computing and cloud analytics. May also be offered as ME 4620. Preq: Consent of instructor.
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AUE 4930: Special Topics in AUE
3.00 Credits
Clemson University
Special topics in automotive engineering. May be repeated for a maximum of 12 credits if different topics are covered.
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AUE 6010: Vehicle Dynamics
3.00 Credits
Clemson University
Fundamental concepts in the dynamic behavior of ground vehicles, mainly two- and four-wheeled vehicles, are discussed. The application of dynamic systems modeling and analysis are stressed to bring understanding to ride performance, handling and straight-line running, as well as practical considerations in vehicle design. Preq: ME 3050 or consent of instructor.
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AUE 6080: Vehicle Testing & Characteriza
3.00 Credits
Clemson University
This course provides hands-on laboratory experience in vehicle testing and characterization. It combines the instrumentation of vehicles and the acquisition and analysis of data for evaluating typical vehicle dynamics and powertrain performance on modern vehicles. Typical auto industry test instrumentation, equipment and processes are introduced. ENGR 1410 (or ENGR 1070 and ENGR 1080 and ENGR 1090); and ENGR 2080 and ME 3050. Coreq: AUE 6081.
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AUE 6081: Vehicle Testing & Charact Lab
0.00 Credits
Clemson University
Non-credit laboratory to accompany AUE 6080. Coreq: AUE 6080.
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AUE 6210: Automotive Multibody Sys Dsgn
3.00 Credits
Clemson University
Provides a theoretical and practical foundation for design/analysis of articulated mechanical systems in automotive applications (e.g. Ackerman steering, Suspension systems). Vector and matrix methods are employed for formulation with an emphasis on developing and cross-validating analytical, hand-coded computational and CAE simulation models.
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