MME 305: Measurements and Instrumentation
Measurements and Instrumentation introduces students to the fundamental principles and practical applications of instrumentation and experimental techniques in engineering. The course covers essential topics including sensor and transducer components, signal conditioning methods, data transmission protocols, and data acquisition systems. Students will explore the design and implementation of computer-controlled experiments aimed at achieving real-time measurement, monitoring, and control in industrial settings. Additionally, the course addresses practical considerations for AC power applications. Students gain hands-on experience with MATLAB, LabVIEW, and Arduino for measurement and control applications through an integrated laboratory component, complementing the theoretical content and reinforcing methodologies relevant to contemporary industrial practices.MME 321: System Modeling, Analysis, and Control
System modeling, analysis, and control involve the comprehensive process of creating mathematical representations of physical systems to understand their behavior under various conditions. This process begins with formulating models using fundamental principles across diverse domains, such as mechanical, electrical, thermal, fluid, and electromechanical systems. Once established, these models are analyzed using time-domain and frequency-domain methods to assess system dynamics and predict responses. Finally, controllers are designed and implemented to regulate system performance, ensuring that the actual behavior closely aligns with desired specifications. Through systematic modeling and rigorous analysis, engineers can optimize performance, enhance stability, and effectively manage complex systems.MME 341: Engineering Economics
This course helps students assess various alternatives for economic decision-making in engineering and other projects. Using analytical methods and spreadsheets, students identify the most suitable alternatives among multiple options. The primary analytical tool employed is the time value of money. Decision-making processes also account for factors such as inflation, depreciation, taxes, risk, and uncertainty. Microsoft Excel is extensively utilized to solve problems related to engineering economics.MME/ECE 436/536: Control of Dynamic System
This course provides an in-depth exploration of mathematical modeling and analysis of dynamic systems, along with an introduction to controller design for achieving desired closed-loop behaviors. Students develop mathematical models across various domains, including mechanical, electrical, and electromechanical systems, using fundamental principles. The course covers dynamic system identification methods and employs both time-domain and frequency-domain techniques to analyze and predict system performance. Students design and implement Proportional (P), Proportional Derivative (PD), Proportional Integral (PI), and Proportional Integral Derivative (PID) controllers to meet specific performance criteria. MATLAB, Simulink, and LabVIEW are extensively utilized for problem-solving and laboratory experiments.MME 438/MME 538: Mechanics, Analysis, and Control of Robots
This course provides a comprehensive introduction to the modeling, analysis, and control of robotic systems. Students explore fundamental concepts in robotic kinematics, dynamics, and control theory, with applications spanning industrial and autonomous robots. The course emphasizes mathematical modeling techniques and practical control strategies specifically tailored for robotic manipulators. MATLAB and Simulink are extensively used for dynamic simulation and analysis.MME 448/449 Senior Design Capstone
The Senior Design Capstone is a culminating academic experience where engineering students apply their knowledge to real-world problems. It typically involves collaborative teamwork, innovation, and hands-on project development. Students design, prototype, and test solutions under faculty and industry mentorship. The capstone fosters critical thinking, communication, and project management skills. It serves as a bridge between academic training and professional engineering practice.MME 700 Research for Master’s Thesis
Research for Master’s Thesis is a graduate-level course focused on independent, faculty-guided research. Students explore advanced topics in mechanical or manufacturing engineering aligned with their thesis objectives. The course emphasizes critical thinking, technical writing, and experimental or computational methods. It serves as the foundation for producing a formal Master’s thesis.MME 704 Non-Thesis Project
Non-Thesis Project is a graduate course designed for students pursuing a non-thesis Master’s degree in Mechanical or Manufacturing Engineering. It involves applied research or a comprehensive design project under faculty supervision. The course emphasizes practical problem-solving, technical reporting, and professional presentation skills. Students integrate advanced engineering concepts to address industry-relevant challenges. Completion of the project showcases the student’s ability to apply graduate-level knowledge in a real-world context.Instructor @ UWM
Computational Tools for Engineers (ME101)
Matlab and Simulink are essential tools in engineering, making proficiency in Matlab programming critical for students. In this course, students learn about built-in Matlab functions, matrix manipulation, user-defined functions, logical operations, loops, symbolic mathematics, and graphical user interface (GUI) development. Dynamic system simulation. The course offers practical exercises designed to build strong programming skills in Matlab and Simulink, preparing students to efficiently address complex engineering problems.Mechanical Design I (ME360)
The Design of Machinery course provides comprehensive instruction on the modeling, analysis, and synthesis of mechanisms. Students explore various mechanisms, including four-bar, six-bar linkages, cam-follower systems, gear train, and perform dynamic force analyses. Emphasis is placed on practical skills through the application of industry-standard software tools for mechanism synthesis and analysis, preparing students for real-world engineering applications.Computer-Aided Engineering Laboratory (ME370)
The Computer-Aided Engineering Laboratory course provides students with essential skills in sketching, solid modeling, assembly drawing, mechanism simulation, and finite element analysis within the Creo (Pro/Engineer) environment. Students gain hands-on experience using industry-standard tools and techniques, enhancing their abilities in computer-aided engineering and preparing them for practical engineering design and analysis challenges.Control and Design of Mechatronic Systems (ME479)
The Mechatronics System Design course covers the principles and methods for developing integrated mechatronic systems, including microcontroller programming and sensor-actuator interfacing. Students learn interfacing and calibration techniques for a variety of sensors such as temperature, humidity, force, torque, infrared, light, and sound sensors. The course emphasizes the use of analog and digital sensors with I2C and SPI communication protocols, PCB design, and actuator integration-including solenoids, DC motors, stepper motors, and servo motors. Additional topics include controlling AC circuits using microcontrollers, interfacing with IR remote controls, Wi-Fi modules, oscilloscopes, and signal generators. Students also gain hands-on experience operating mechatronic systems using PS4 controllers and developing low-cost data acquisition systems and data visualization interfaces through MATLAB apps or LabVIEW graphical programming.Teaching Assistant @ UWM
- Control and Design of Mechatronic Systems (ME479)
- Introduction to Control System (ME474)
- Basic Heat Transfer (ME321)
- Basic Engineering Thermodynamics (ME301)