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 explores the design of biomechatronic systems by integrating mechanical, electrical, and computer systems. It focuses on understanding the electrophysiological signals, sensors, bioinstrumentation, critical issues involved in the design of biomechatronic devices, and human-device interaction. Students will be introduced to the current state-of-art sensors and mechatronic principles and techniques for measuring, assisting, augmenting, and mimicking biological systems. Students will gain significant hands-on experience through the design, modeling, and development of biomechatronic systems. This course will address how to interface these devices with humans, along with safety and ethical aspects. Students may not take and receive credit for this course if they have already taken MECA-672.

This course explores the design of biomechatronic systems by integrating mechanical, electrical, and computer systems. It focuses on understanding the electrophysiological signals, sensors, bioinstrumentation, critical issues involved in the design of biomechatronic devices, and human-device interaction. Students will be introduced to the current state-of-art sensors and mechatronic principles and techniques for measuring, assisting, augmenting, and mimicking biological systems. Students will gain significant hands-on experience through the design, modeling, and development of biomechatronic systems. This course will address how to interface these devices with humans, along with safety and ethical aspects. Students will explore scientific literature and research methodologies and investigate emerging trends in biomechatronics. To ensure the reliability and functionality of biomechatronic systems in real-world applications, students will learn and apply advanced troubleshooting techniques, diagnosing and resolving system failures related to hardware, software, and human interaction. Students may not take and receive credit for this course if they have already taken MECA-572.

This course provides the MMSI graduate students an opportunity to complete their degree requirements by addressing a practical real-world challenge using the knowledge and skills acquired throughout their studies. This course is not only the culmination of a student's course work but also an indicator of the student's ability to use diverse knowledge to provide a tangible solution to a problem. The capstone project topic can be in the areas of product development, manufacturing automation, management system, quality management or electronics packaging. The course requires a comprehensive project report and a final presentation.