Special research and problems for individual students who wish to pursue independent investigations. Variable credit: may be repeated to a maximum of six credit hours for technical electives. A final report is required. Prereq: Consent of department chairperson via permit.
Advanced topics in machine design including failure theories, lubrication, bearing design, gears, surface finish, brakes, clutches and flexible transmission components. These topics will be mixed into analysis of common machines such as internal combustion engines, mechanical pumps, compressors and gearboxes. Students wishing to take the course for graduate credit will complete more advanced exam problems and/or design project(s).
Modern composite materials and their applications. Basic concepts and definitions. Fundamental properties of fibers and polymer resins. Manufacturing methods. Analysis and design of laminated and chopped fiber reinforced composites. Micro- and macro-mechanical analysis of elastic constants. Failure theory of composite materials. Computational design of composites.
This course is an introduction to computational fluid dynamics (CFD) and numerical heat transfer for advanced undergraduate students who wish to become intelligent users of modern CFD tools. The emphasis will be on verification and validation of solutions obtained using CFD through comparison to analytical and empirical results.
This course presents methods for analyzing and controlling linear time- invariant (LTI) dynamic systems with model uncertainty. This course focuses on single-input single-output (SISO) systems and frequency- domain techniques. The major topics include: basic frequency-domain design techniques, fundamental limitations to performance for SISO systems, uncertainty modeling and robustness, the robust stabilization control problem, and the robust performance control problem.
This course teaches students about what it takes to make robots move the way we want them to move. There are three parts to the course. The first part discusses how to represent robot position and motion mathematically. The second part focuses on planning motions. The third part focuses on controlling the robot to achieve motion. In some cases, the planning and control are tied together. Throughout the course, students will use simulations to apply the concepts they are learning.
Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.
May be repeated to a maximum of six semesters.
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.
