Course Description: Communication through engineering graphics; engineering drawing interpretation, sectioning, auxiliary views; and analysis and design of mechanical devices. Workshop includes CAD and solid modeling.

Course Description: Principles of robotic autonomy for navigating unstructured environments using mathematical principles. Basic probability theory, numerical techniques for recursive Bayesian estimation and multi-sensor data fusion, Simultaneous Localization and Mapping, quantification of belief, and autonomous control. Prerequisites: MAE 2320 Dynamics and CS 1110 or CS 1111 or CS 1112 Introduction to Programming, or instructor's permission.

Course Description: Principles of robotic autonomy for navigating unstructured environments using mathematical principles. Basic probability theory, numerical techniques for recursive Bayesian estimation and multi-sensor data fusion, Simultaneous Localization and Mapping, quantification of belief, and autonomous control. Prerequisites: undergraduate dynamics, a programming course in Python, C++, or Matlab; or instructor's permission.

Course Description: Mechatronics studies synergistic integration of mechanical engineering, electronics, and intelligent control in the design and manufacture of devices. Advanced Mechatronics follows MAE 4710 Mechatronics and dives deeper into circuits, electromechanical actuators, analog and digital signals, sensors, control algorithms, and microcontroller programming. An emphasis is placed on synergistically combining components to design and invent new products.

Course Description: Mechanical design and build of a robot complete with sensors and actuators. Install Robot Operating System (ROS) and operate. Communication using ROS. Integration of microcontrollers and onboard computers. Object recognition. Simultaneous Localization and Mapping (SLAM) of the environment. Pre-requisites: 4th year standing or instructor's permission

Course Description: Mechanical design and build of a robot complete with sensors and actuators. Install Robot Operating System (ROS) and operate. Communication using ROS. Integration of microcontrollers and onboard computers. Object recognition. Simultaneous Localization and Mapping (SLAM) of the environment. Prerequisites: undergraduate dynamics; a programming course in Python, C++, or MATLAB; or instructor's permission

Course Description: This course has been developed for general graduate students and advanced undergraduate students in engineering. Assuming only basic knowledge of matrix operations, differential equations and electric circuits, the course aims to introduce, through numerous examples, fundamental concepts and tools for the analysis and design of control systems.

Course Description: This course is designed to develop cross-competency in the technical, analytical, and professional capabilities necessary for the emerging field of Cyber-Physical Systems (CPS). It provides convergence learning activities based around the applications, technologies, and system designs of CPS as well as exploring the ethical, social, and policy dimensions of CPS work. The course also emphasizes the importance of communication as a necessary skill.

Course Description: Special topics in aerospace engineering

Course Description: Fundamentals of modern wind turbines with emphasis on mechanical and aerospace engineering aspects as well as design and economic considerations. Topics include wind resources, aerodynamics and performance, control of turbine dynamics for power and safety, structural loads and response, blade materials and design, siting and installation, and economic drivers of wind systems. Prerequisite: MAE/CE 3210 Fluid Mechanics or equivalent

Course Description: A continuation of MAE 4790. Completion of the design topics. Includes the option to advance the design to the critical design stage and build prototypes. Final report and oral presentations. Pre-requisite: MAE 4790

Course Description: Fundamentals of modern wind turbines with emphasis on mechanical and aerospace engineering aspects as well as design and economic considerations.  Topics include wind resources, aerodynamics and performance, control of turbine dynamics for power and safety, structural loads and response, blade materials and design, siting and installation, and economic drivers of wind systems. Prerequisite: MAE/CE 3210 Fluid Mechanics or equivalent

Course Description: Analyze design requirements for and produce the conceptual design of an aircraft or a spacecraft. Includes synthesis of materials, structures, propulsion, flight mechanics, avionics, data handling and telemetry, stability and control, interior and external configuration, and all systems. Exploration of industrial design tools and program management strategies. Work in teams. Oral presentations and report writing. Design topics vary. Pre-requisite: 4th Year Standing in Aerospace Engineering

Course Description: Discussion of turbulence in engineering and natural systems; turbulent flow physics and statistical properties for velocity, kinetic energy, and dissipation; turbulent length, velocity, and time scales; turbulence governing equations and modeling.  Multiphase flow in engineering and natural systems; particle characteristics, multiphase flow equations of motion, trajectories and coupling regimes, including turbulent particle interactions.  Prerequisite MAE 3210 or CE 3210 or equivalent 

Course Description: Required one-hour weekly seminar for graduate students in mechanical and aerospace engineering. Students enrolled may make formal presentations of their research work.