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

The topics covered are: review of vectors, matrices, and numerical solution techniques; discrete systems; variational formulation and approximation for continuous systems; linear finite element method in solid mechanics; formulation of isoparametric finite elements; finite element method for field problems, heat transfer, and fluid dynamics. Prerequisite: MAE 6020 or equivalent

Role of statistics in science, hypothesis tests of significance, confidence intervals, design of experiments, regression, correlation analysis, analysis of variance, and introduction to statistical computing with statistical software libraries. Cross-listed as APMA 6430. Prerequisite: Admission to graduate studies or instructor permission.

Applies basic engineering science, design methods, and systems analysis to developing areas and current problems in mechanical engineering. Topics vary based on student and faculty interest.

Fundamentals of conduction and convection heat and mass transfer. Derivation and application of conservation equations for heat and mass transfer in laminar and turbulent flows. Steady, unsteady and multidimensional transport. Applications to free and confined flows in forced, natural and mixed convection regimes. Phase change problems with moving boundaries, condensation and evaporation. High speed flows. Prerequisite: Undergraduate fluid mechanics or instructor permission.

A continuation of MAE 4610 that applies the design process to projects. Organization of design teams to work on specific semester-long design projects, including oral presentations and written reports. Pre- or Co-Requisite MAE 4610

Application of experimental methods for the mechanical behavior of components and materials. Topics include mechanical measurement systems (load cells, accelerometers, extensometers, rotary sensors, etc.), truss design, destructive material testing methods (e.g. tensil test), connections, data analysis, experiment design and technical writing. Co-requisites: MAE 2320 Dynamics and MAE 2310 Strength of Materials.

Coverage of the design process including project management, specifications, budgeting and case histories, Conceptual, preliminary, and detailed design phases. Technical proposal and report preparation and technical presentations. Organization of design teams to work on specific semester long mechanical design projects selected to illustrate the design process. Engineering 4th Year Standing or instructor permission.

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.

Applies basic engineering science, design methods, and systems analysis to developing areas and current problems in aerospace engineering. Topics vary based on student and faculty interest. Prerequisite: Third or Fourth-year standing.