Imraan Faruque

Independent research under the direct supervision of the student's doctoral dissertation adviser.Offered for variable credit, 1-15 credit hours, maximum of 42 credit hours.Prerequisite(s): Admission to MAE PhD program and consent of the student's dissertation adviser.

A student studying for a master's degree who elects to write a thesis must enroll in this course.Offered for variable credit, 1-9 credit hours, maximum of 9 credit hours.Prerequisite(s): Graduate standing in MAE and consent of student's adviser.

Independent research under the direct supervision of the student's doctoral dissertation adviser.Offered for variable credit, 1-15 credit hours, maximum of 42 credit hours.Prerequisite(s): Admission to MAE PhD program and consent of the student's dissertation adviser.

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Basic theory, hardware, and implementation, and test techniques for contemporary autopilot design, with a particular example on unmanned aerial systems. Flight mechanics modeling and simulation, basic sensor modeling and usage, filtering and state estimation, and feedback strategies are discussed. Typical computing hardware platforms and their limitations for autopilots usage are discussed. General purpose computing hardware is extended to field UAV platforms. Validation techniques are introduced, including an introduction to formal methods verification and a more thorough exercise in operational hardware testing.Prerequisite(s): Graduate standing or consent of instructor; MAE 3403 and MAE 3724 and MAE 4053 and MAE 4283.

Independent research under the direct supervision of the student's doctoral dissertation adviser.Offered for variable credit, 1-15 credit hours, maximum of 42 credit hours.Prerequisite(s): Admission to MAE PhD program and consent of the student's dissertation adviser.

A student studying for a master's degree who elects to write a thesis must enroll in this course.Offered for variable credit, 1-9 credit hours, maximum of 9 credit hours.Prerequisite(s): Graduate standing in MAE and consent of student's adviser.

Independent research under the direct supervision of the student's doctoral dissertation adviser.Offered for variable credit, 1-15 credit hours, maximum of 42 credit hours.Prerequisite(s): Admission to MAE PhD program and consent of the student's dissertation adviser.

A student studying for a master's degree who elects to write a thesis must enroll in this course.Offered for variable credit, 1-9 credit hours, maximum of 9 credit hours.Prerequisite(s): Graduate standing in MAE and consent of student's adviser.

Independent research under the direct supervision of the student's doctoral dissertation adviser.Offered for variable credit, 1-15 credit hours, maximum of 42 credit hours.Prerequisite(s): Admission to MAE PhD program and consent of the student's dissertation adviser.

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).

Physical and mathematical modeling of mechanical, electrical, fluid, thermal and mixed dynamic systems. Systems analysis in the time domain and in the frequency domain, with an emphasis on first and second order systems. Laplace transform method for solving ordinary linear differential equations. Representation of system models using transfer functions, block diagrams and state variable forms. Use of computer methods for solving linear and nonlinear dynamic system models. Introduction to dynamic system control. Laboratory investigation to demonstrate application. Same course as MAE 3723.Prerequisite(s): Grades of “C” or higher in ENSC 2123 and ENSC 2613 and MAE 3013 and (MAE 3113 or ENGR 2421).