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  • 3.00 Credits

    This course focuses on financial decision making for both industry and individuals. Topics covered include: time value of money, loans, present worth analysis, rates of return, benefit-to-cost ratio, taxes, probabilistic cash flows, simulation of cash flows, decision analysis and decision trees.
  • 3.00 Credits

    Students learn modeling in the frequency domain, time domain, and sampled data domain. The theory and application of techniques and tools used for the design of feedback control systems, including root locus, Bode, and Nyquist techniques are discussed for continuous and sampled systems. Prerequisites: 'C' or better in (ME EN 3210 OR ME EN 3220) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Model and simulate the dynamics of advanced mechatronic systems consisting of a variety of energy domains (mechanical, electrical, magnetic, hydraulic, thermofluidic). Students will learn to use Bond Graph techniques and state space formulation for linear and nonlinear systems. Primary topics include introduction to power and energy variable, constitutive modeling of multi-port energy storage and transducing elements, power flow and causality, and derivation and simulation of state space equations. Hands- on recitation exercises in class allow students to practice modeling techniques on a variety of mechatronic devices. For a final project, students will model and simulate a complex dynamic system. Prerequisites: 'C' or better in (ME EN 3210 OR ME EN 3220) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Introduction to modeling of multivariable systems in state space form. System analysis including stability, observability and controllability. Control system design using pole placement, and linear quadratic regulator theory. Observer design. Prerequisites: 'C' or better in (ME EN 3210 OR ME EN 3220) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    The mechanics of robots, comprising kinematics, dynamics, and trajectories. Planar, spherical, and spatial transformations and displacements. Representing orientation: Euler angles, angle-axis, and quaternions. Velocity and acceleration: the Jacobian and screw theory. Inverse kinematics: solvability and singularities. Trajectory planning: joint interpolation and Cartesian trajectories. Statics of serial chain mechanisms. Inertial parameters, Newton-Euler equations, D'Alembert's principle. Recursive forward and inverse dynamics. Prerequisites: 'C' or better in ((ME EN 1010 OR CS 1000 OR CH EN 1703) AND (MATH 2250 OR (MATH 2270 AND MATH 2280)) AND (PHYS 2210 OR PHYS 3210 OR AP Phys C:Mech score of 4+) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Control of serial robot manipulators is examined. Topics include control system fundamentals, sensors and actuators, joint level control, centralized control, operational space control, and force control. Projects provide hands on experience controlling a serial link manipulator. Prerequisites: 'C' or better in (ME EN 5200 AND ME EN 5220) AND Full Major status in Mechanical Engineering.
  • 4.00 Credits

    The goal of this course is to give students an experience in integrating electromechanical systems by utilizing a commodity microcontroller. Students will review some basic electronics, and learn to interface a PIC microcontroller with a broad variety of peripheral devices including motor drivers, LCDs, shift registers, DAC and encoder chips among others. The course will also emphasize some basics of serial communication, culminating with a wireless serial communication based laboratory and project. Students will leave the course with a broad set of skills necessary to build custom embedded systems through the use of a microcontroller and off-the-shelf components. Prerequisites: 'C' or better in (ME EN 1010 OR CS 1000 OR CH EN 1703) AND (ME EN 3210 OR ME EN 3230) AND ECE 2210 AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Many modern engineering systems incorporate computational elements, while other engineering systems need to be validated through computational tools or through computer-aided data collection. This course is designed to provide a foundation in programming, software engineering, debugging, and using existing computational codes in the context of controlling physical equipment, gathering experimental data, and visualizing results. The course will be taught using the C++ programming language, which provides balance between access to physical devices and modern programming concepts. The course provides a level of programming proficiency to students planning on taking additional coursework with a programming emphasis or who might need custom computational applications in their research. This course will use a mixture of short experimentation assignments (such as determining the result of certain programming constructs) and task-oriented programming assignments that demonstrate commonly used tools. Prerequisites: 'C' or better in (ME EN 1010 OR CS 1000 OR CH EN 1703) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Advanced stress analysis in structural members, and prediction of their failure; advanced topics in beam bending; torsion of non-circular cross-sections, and thin-walled tubes; inelastic bending, and torsion; energy methods; elastic instability. Meets with ME EN 6300. Prerequisites: 'C' or better in (ME EN 3300 OR (ME EN 3310 AND ME EN 3315)) AND (MATH 1260 OR MATH 1321 OR MATH 2210 OR MATH 3140) AND (MATH 2250 OR (MATH 2270 AND MATH 2280)) AND Full Major status in Mechanical Engineering
  • 3.00 Credits

    Free and forced vibrations of discrete linear systems with and without damping; Lagrange's equations and matrix methods for multiple-degree-of freedom systems; isolation of shock and vibrations; and applications. Prerequisites: 'C' or better in (ME EN 2030 OR ME EN 2080) AND (MATH 1260 OR MATH 1321 OR MATH 2210 OR MATH 3140) AND Full Major status in Mechanical Engineering. Corequisites: 'C' or better in (MATH 3140 OR MATH 3150).