Course Criteria

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  • 1.00 - 3.00 Credits

    Research investigations of specific problems in an appropriate engineering field. The topic of the investigations will be determined by the interests of the student in consultation with the department and faculty. Open to exceptional students and particularly suited to those intending to continue toward a graduate degree.
  • 1.00 - 3.00 Credits

    Individual instruction given by a tutor in regularly scheduled meetings (usually once a week).
  • 3.00 Credits

    This course introduces the modern design methodologies for digital logic and automatic synthesis of digital systems. Students are provided with access to the VHDL/Verilog and CAD tools to use hardware description language to model, analyze and design various digital circuits/systems. It is expected that the students will acquire a clear understanding of the main techniques, design strategies and the optimizations that are involved in modern digital circuit modeling, design and synthesis. VLSI design automation and testing.
  • 3.00 Credits

    The course describes short- and long-range communication technologies used for autonomous navigation of vehicles, and coordination movement of ground, air and underwater vehicles. Short range discussions will cover data protocols, error correction, bandwidth and latencies used in Bluetooth, Zigbee and WiFi communication. Long range communications will primarily focus on 4G and 5G technologies. Vehicle formations will consider structured and ad-hoc communication network topologies and algorithms. Corequisite:    ENGR 401L
  • 1.00 Credits

    This course is designed to apply the concepts being covered in ENGR 401. Hands-on lab exercises will be assigned each week within a structured setting. Students will also work in a team to develop a semester-long project. Laboratory three hours per week. Corequisite:    ENGR 401
  • 3.00 Credits

    Analysis and design of linear feedback systems; control components; time, frequency, and transform domain representations and design techniques; systems specifications, performance indices, evaluation and testing; controller and compensator design; complex frequency and state-variable techniques. Introduction to sampled-data systems. Computer-aided design and simulation. Corequisite:    ENGR 410L
  • 1.00 Credits

    This course is designed to apply the concepts being covered in ENGR 410. Hands-on lab exercises will be assigned each week within a structured setting. Students will also work in a team to develop a semester-long project. Laboratory three hours per week. Corequisite:    ENGR 410
  • 3.00 Credits

    The course is an advanced course that combines control systems, data analysis and machine learning. The control part of the course will study state-of-the-art algorithms used for creating and sustaining vehicle formations, and adding a vehicle to or removing a vehicle from a formation. The course will also explore how to analyze vehicle data for the determination of its condition, and for understanding the impact of human driving actions on vehicle performance. And finally, the course will assess the capabilities of machine learning algorithms that can learn how to adapt formations to vehicle inputs from humans. The objective of the course is to educate the students on emerging technologies related to autonomous and (mixed) human-machine navigation of ground, air and underwater vehicles.
  • 3.00 Credits

    Fundamentals and techniques for designing and using simulation, modeling, and optimization algorithms with applications in system performance modeling, business infrastructure modeling, and distributed and parallel computing. An introduction to advanced complex systems models.
  • 3.00 Credits

    This course is the first part of the Capstone Design Project. Students work on a challenging design and implementation project which includes the demonstration of engineering knowledge and problem solving skills acquired in earlier coursework, project planning, oral presentations, report-writing, ethical behavior, and teamwork skills. All team projects are subject to Instructor/Program Director approval.
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