CollegeTransfer.Net

Course Criteria

Add courses to your favorites to save, share, and find your best transfer school.

  • AUE 8161: Eng Com & Emiss Lab

    0.00 Credits
    Clemson University

    Non-credit laboratory to accompany AUE 8160. Coreq: AUE 8160.
    ShareAUE 8161 - Eng Com & Emiss Lab
    Favorite

  • AUE 8170: Alt Energy Sources

    3.00 Credits
    Clemson University

    Demand for petroleum alternative propulsion sources has focused attention on hybrid vehicles with fuel cells, electric motors and battery packs and internal combustion engines burning hydrogen and reformulated fuels. Comparison of performance, emissions, fuel efficiency, operational requirements and vehicle configurations is studied.
    ShareAUE 8170 - Alt Energy Sources
    Favorite

  • AUE 8180: Engine Analysis, Design & Exp

    3.00 Credits
    Clemson University

    This course explores internal combustion engine simulation, experimental analysis, and component design with a focus on thermodynamics, heat transfer, combustion and fluid dynamics. A term project integrates simulation software with experimental data analysis to allow students to design, build and test components. Preq: AUE 8160. Coreq: AUE 8181.
    ShareAUE 8180 - Engine Analysis, Design & Exp
    Favorite

  • AUE 8181: Engine Analysis, Des, Exp Lab

    0.00 Credits
    Clemson University

    Non-credit laboratory to accompany AUE 8180. Coreq: AUE 8180.
    ShareAUE 8181 - Engine Analysis, Des, Exp Lab
    Favorite

  • AUE 8190: Adv Int Combustion Engine Conc

    3.00 Credits
    Clemson University

    Examines novel modes of combustion in internal-combustion engines, and provides in-depth study of the underlying phenomena and advanced engine systems required to translate the novel combustion concept into a viable technology. Advanced modeling and simulation tools aid in establishing a link between the fundamentals and system design decisions. Preq: AUE 8160.
    ShareAUE 8190 - Adv Int Combustion Engine Conc
    Favorite

  • AUE 8200: Machine Perception & Intel

    3.00 Credits
    Clemson University

    This course introduces the fundamental technologies for autonomous vehicle sensors, perception, and machine learning, from electromagnetic spectrum characteristics and signal acquisition, vehicle extrospective sensor data analysis, perspective geometry models, image and point cloud processing, to machine/deep learning approaches. Students also gain hands-on programming experience in vehicle perception problems through homework and class projects.
    ShareAUE 8200 - Machine Perception & Intel
    Favorite

  • AUE 8220: Autonomy: Mobility/Manipul

    3.00 Credits
    Clemson University

    This course is intended to be a computational introduction to modeling, analysis and control of autonomous systems for enhanced physical interaction (mobility and manipulation) with the world. The first part of the course deals with the theoretical frameworks for modeling, analysis (kinematics and dynamics) and control of generic articulated robotic systems, rooted in rich traditions of mechanics and geometry. The rest of the course examines harnessing and enhancing the mobility and manipulation performance of articulated multi?body mechanical systems in the context of serial-- and parallel-chain manipulators, as well as wheeled mobile robots (and hybrid combinations of these systems). Case studies are used to highlight this process of systematic performance (mobility and manipulation) evaluation and enhancement for exemplary multi-body robotic systems.
    ShareAUE 8220 - Autonomy: Mobility/Manipul
    Favorite

  • AUE 8230: Autonomy: Science and Systems

    3.00 Credits
    Clemson University

    This course introduces students to both the fundamental advances in science (formulations), as well as technology (ROS based implementation) behind the systems-of-systems.The course includes elements of: (i) definition of higher-level goals and deliverables at the beginning of the semester; (ii) a flipped classroom format for discussions/survey of state-of-the-art in research activities in connected and automated vehicles (as captured in concurrent archival/journal publications); (iii) interspersed lectures to provide references to the theoretical basics of analysis, sensing, planning and controls, as pertinent to the topics of the literature survey; and (iv) hands-on practical implementation of selected subtopics. Preq: Graduate standing in an automotive engineering, computer engineering, electrical engineering, mechanical engineering, or computer science program.
    ShareAUE 8230 - Autonomy: Science and Systems
    Favorite

  • AUE 8240: Autonomous Driving Technol

    3.00 Credits
    Clemson University

    Introduces typical autonomous driving technologies covering autonomous vehicle basic, sensing, planning and controls for autonomous driving, machine learning for autonomous driving and connected vehicles technologies. The course also provides hands-on projects to apply fundamental knowledge to autonomous driving vehicles.
    ShareAUE 8240 - Autonomous Driving Technol
    Favorite

  • AUE 8260: Vehicle Diagnostics

    3.00 Credits
    Clemson University

    Discussion of legislated state, federal and international requirements. On-board automotive sensors to monitor vehicle operation and typical diagnostic algorithms are studied. Includes analytical methods for designing fault-tolerant systems and assessing vehicle reliability including safety-critical systems and "limp-home" modes, as well as use of hand-held scanners and specialized diagnostic equipment to classify faults.
    ShareAUE 8260 - Vehicle Diagnostics
    Favorite
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
(Type the name of a College, University, Exam, or Corporation)
(For example: Accounting, Psychology)
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
(For example: Introduction To Accounting)
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
of
(For example: Find all institutions within 5 miles of the selected Zip Code)