This is the first course in a two-course sequence in computational problem solving of engineering and scientific problems. The problems solved will stress the application of sequence, selection, repetitive, invocation operations, and arrays. The development of proper testing procedures to ensure computational accuracy will be stressed. Students, upon successful completion of this course, will be able to analyze introductory engineering and scientific problems, design, code, test, and document procedural software solutions.

This course examines modeling, instrumentation, and measurement of electrical, mechanical, fluid, and thermal systems containing elements such as sensors and actuators used in feedback control systems. Analytical and experimental techniques of general importance in systems engineering are presented, including sensor utilization in feedback control. Engineering measurement fundamentals, including digital and frequency domain techniques noise and error analysis are covered. Closed-loop system analysis will include the use of proportional, integral, and derivative elements to control system response. Hands-on projects and laboratories are utilized to reinforce fundamental measurement and control system concepts. Software skills include the use of MATLAB and the graphical programming language, LABVIEW.

This course will allow students to demonstrate and develop the skills and knowledge gained in the MCET-550 Mechanical Analysis and Design II course. This will be done through the integration of course topics into lab projects. These labs will allow students to analyze and design mechanical systems that include gears, springs, shafts, bearings, and other forms of power transmission. The lab will be split between in class discussions and hands-on learning opportunities. In class discussions will outline lab requirements and relate the lab-to-course material. Lab reports are generated through the integration of word processing and presentation software. The application of software tools and the engineering design process will be emphasized throughout.

This course will provide a thorough understanding of the manufacturing automation principles, practices and system integration. Students will design a fully automated control system from selection of components, specifying the Programmable Logic Controller (PLC), and developing the ladder logic required to operate the system. Students will have the tools to effectively be able to fully design an automated control system as in done in varying industries.

This course will provide a thorough hands-on experience in using Programmable Logic Controllers (PLCs) for manufacturing automation and system integration. Industry best practices for programming PLCs and the essentials of Human Machine Interface (HMI) for data entry, manipulation, and recording system status will be included.