Mechanical Engineering 67
targeted education on real-world problems. Students may join this program after completing sufficient coursework to be successful in an industrial environment, and receiving approved industrial sponsorship. International students participating in a CO-OP are required to contact the Office of Global Support and Student Engagement to apply for Curricular Practical Training before engaging in any CO-OP activity.
GENG 609 Nonlinear Analysis 3 credits Introduction to the understanding of nonlinear characteristics of mechanical and electrical components and systems. Basic analytical, graphical, and numerical methods are presented. Introduction to chaotic dynamics and nonlinear control.
Students accepted to the CO-OP track are assigned a Gannon professor as a mentor, and must take the Graduate Professional Experience (GENG700-series) course each semester they are enrolled in the program.
GENG 621 Reliability Engineering 3 credits Reliability modeling, prediction, testing, physics to failure, and reliability design techniques are studied. Hardware and software systems. Identification of weak link for reliability improvement. Quality system reliability using advanced testing methods.
Students must complete 30 credits of graduate course work in addition to their Graduate Professional Experience courses. Students must maintain a cumulative grade point average of at least 3.0 for the duration of their master’s degree program, and fulfill all other requirements for their degree.
COURSE DESCRIPTIONS
GENG 588 Modern Control Theory 3 credits Linear spaces and operators, mathematical descriptions of systems. Linear dynamical systems and impulse response; matrices. Controllability and observability of linear dynamical systems. Irreducible realizations of rational transfer function matrices. Canonical forms, state feedback and state estimators. Stability of linear systems. Composite systems; linear optimal control and linear distributed systems. GENG 589 Digital Control 3 credits This course deals with the control of dynamic systems by employing classical and model control tools incorporating a digital computer in the control loop. It provides the background needed for those practicing engineers who have studied the concepts of continuoustime control to enhance their knowledge in the area of digital control system. Topics of discussion are z-transform, digital control system design, filters design, state-space approach to control system design, etc. GENG 603 Engineering Analysis 1 3 credits The theory and application to engineering problems of matrix-vector methods and Matlab software. Transition from discrete to distributed parameter systems with introduction to finite elements and partial differential equations.
GENG 622 Risk Management 3 credits Introduction to project risks management and engineering ethics for engineering decision making. Integrated models for technical, schedule, and cost risks. Management of cost-risk contributions. Identification and control of critical paths for project schedule. Implementation of integrated risk management with computer simulation methods. GENG 623 Decision Making under Uncertainty 3 credits Introduction of general techniques for dealing systematically with uncertainty in engineering decision problems. Computer simulation models, sensitivity analysis, and subjective probability assessment for engineering judgment. Probabilistic design criteria, value of information, utility analysis with risk aversion, and trade-off under uncertainty are studied. GENG 624 Project Management 3 credits The course will cover the skills necessary to manage large and small projects in terms of planning and controlling techniques, coordinating and directing techniques, and negotiating techniques. Roles and responsibilities of the project manager and tools and techniques used in managing projects will be discussed along with preparing project records and reports. GENG 685 Advanced Control Systems 3 credits This course treats the analysis and design of linear control systems from the point of view of state space representation. Topics include system modeling, coordinate transformation, controllability, observability, output feedback, state feedback, linear quadratic regulators, and linear estimators. Additionally, an introduction to nonlinear control is presented with the topics