The rapidly evolving world of engineering demands professionals who can integrate mechanics, electronics, and computer systems seamlessly. This program equips you with advanced skills to excel in mechatronics and robotics, whether you’re launching your career or advancing as an experienced professional.
True to the University’s motto, theory and practice, you’ll engage in real-world projects and research collaborations with international universities, professional societies, and industry organizations. The program’s evening classes offer the flexibility to balance your studies with professional commitments.
Meet the LTU Alum: Shalaka Nayak, MSMSE’18Shalaka Nayak is now working in an automotive automation industry as a controls engineer.
The LTU Experience:
Shalaka Nayak, said she has a “fascination to get things to work without any human intervention, in short automate things… the mechatronics systems program provides me with a platform to showcase my interest and also develop my knowledge and skills in not only electrical and electronic controls but also mechanical controls.”
Nayak said the course schedule also makes it convenient for working students.
“The program is clearly laid out for every student to take the courses at their ease and learn at their own pace. As most master’s students are working professionals, most of the lectures are scheduled in the evenings which allows one to combine work and studies without any difficulties.”
Meet the LTU Alum: Daniel Hodges, MSMSE’19Daniel Hodges, a 20-year veteran of the engineering field, has recently completed the program. He enrolled in mechatronics to stay up-to-date on this evolving industry. Up-ended by the recession in 2009, he went through three downsizing events, but now looks forward to a recharged start.
The LTU Experience:
“My career goal is to strategically lead my organization to innovative solutions which enrich our customers in ways that they don’t even know that they need yet. For that, I needed a graduate degree, especially in this global labor market,” he said. “I chose mechatronics because I needed more tools to fully explore creative solutions and to create adaptive systems. I am excited about what I now know I can do.”
Course Name
Credits
Core Courses (7 courses)
21
Thesis
9
Course Name
Credits
Core Courses (7 courses)
21
Electives (3 courses)
9
Total Credit Hours
30
Course Name
Course #
Credits
Course designed to explore topics needed to enhance analytical skills of engineering for obtaining deeper understanding of scientific principle. Topics include Vectors and Vector spaces, Matrics and System of Linear Equation, Eigenvalues and Eigen Vectors, Solution of Ordinary Differential Equation, LaPlace Transforms, Fourier Series, Fourier Integrals and Fourier Transforms, Vector Calculus and Numerical Methods. Lecture 3 hours.
EME5253
3
Harmonic oscillations of one and two degrees of freedom linear systems. Damped vibration. Concept of vibration isolation. Multi-degrees of freedom systems.
EME5213
3
This course discusses the concepts of kinematics and kinetics of rigid bodies in space, energy and momentum integrals, equations of motion in general rotating coordinate frames, Euler angles, angular momentum, kinetics of rigid bodies and analytical mechanics.
EME5333
3
State space realization of transfer functions, canonical forms, fundamental and state transition matrices, introduction to optimal control, quadratic performance indices, observers, Liapunov stability theory.
MRE5323
3
Must have departmental approval. Discrete time mathematics, Z-transforms, sampling rates, zero and first-order hold, time delays, system stability, continuous and discrete time systems, interfacing, computer control implementation concepts, state space realization. Lecture 4 hours.
EEE5533
3
This course introduces students to the design of mechatronic systems through a combination of lectures and hands-on laboratory experiments. Lecture and laboratory topics include basic electronics, sensors, actuators, and microprocessor implementation. Following the structured laboratories, teams of students will design and build a mechatronic system to complete a designated task within a designated budget.
MRE5183
3
This course integrates the concepts that students have learned in previous mechatronics courses through a combination of lectures and hands-on laboratory experiments. Lecture and laboratory topics include system identification, implementation of feedback control, advanced sensors, and advanced actuators. Students will complete a project demonstrating an understanding of feedback control implementation and mechatronic system integration.
MRE6183
3
Students may select three courses of MRE, EME, EEE, MCS 5000:6999; Suggested options are as follows:
Course Name
Course #
Credits
This is a three credit hour course for course sequence adding to a total of six credits to fulfill the thesis option. Students work in collaboration with a faculty advisor and, optionally, an industrial advisor. Students are expected to meet regularly with their advisors. Upon completion of the six hours, students give an oral defense of their findings and submit the thesis to the University for publication.
EME6913
3
Fundamentals of vehicle dynamics with focus on acceleration, braking, aerodynamics, axle loading, ride and steady state handling principles, steering and instability (e.g., roll over)
EME5433
3
Covers a new or specialized topic in Mechanical Engineering for which there is strong faculty and student interest, but is not covered in other courses. Credit hour is indicated by the last digit of the course number.
EME5983
3
Covers a new or specialized topic in Mechanical Engineering for which there is strong faculty and student interest, but is not covered in other courses. Credit hour is indicated by the last digit of the course number.
EME5983
3
Principles of contemporary analog control systems for automotive vehicle systems, including the fundamentals of analog control using LaPlace Transforms. Analysis and design of analog control systems using modern control systems hardware and software. Topics include open loop and closed loop control, system performance and system design in the time and frequency domains, root locus, and Bode analysis/synthesis. Application of numerical methods, system modeling and simulation, and control software. Hands-on introduction to Matlab, Simulink, and dSPACE software and hardware. Project based course with example applications to control systems in vehicle dynamics, steering, suspension, engine, transmission, driveline and other vehicle systems. LTU4WD vehicle chassis dynamometer for vehicle controls is included. This is Course-1 in a 2 course series.
EME6623
3
Course not found.
EME7623
3
This course introduces aerospace systems engineering from a mechatronic perspective: why and how are space missions developed. Course coverage will follow the principal steps of an aerospace project: conception, development and mission operations. Lessons focus on the systems and subsystems on board a spacecraft, satellite guidance, commercial aerospace, and space tourism.
MRE5143
3
This course presents a historical overview and a survey of the various unmanned aerial vehicle systems. Design considerations of the main components of such systems will be introduced along with the engineering principles required for that process. The course will not address the topics of aerodynamics of such systems but rather present a general discussion of modeling and simulation techniques for unmanned aerial vehicles. The course will cover the control strategies and he challenges posed by such systems including sensing techniques and environmental uncertainties. Case studies will be used to implement the modeling and control strategies discussed in the class.
MRE5813
3
Introduction to mechatronic systems engineering: mechanical, electrical and electronics components. Analytical and adaptive dynamics as the basis for the control algorithm development and a mechatronic system design. Advanced topics in analytical and adaptive dynamics are presented in the course including direct and inverse dynamic problems, stability of mechatronic systems, others.
MRE6113
3
Course presents specifics in mechanical design of mechatronic systems with concentration of robots. Topics include requirements to mechanical systems as components of mechatronic systems and design methods. Position, kinematical and dynamic force analysis of robot manipulators is given for both rigid and non-rigid designs. Vibrations are analyzed and optimized in robot manipulators. Critical design components presented in conjunction with the motion requirements.
MRE6123
3
The course presents an analytical study in adaptive control for advanced applications. Various approaches are considered including gain scheduling controller modeling, model reference control (high-gain scheme), model reference adaptive control (parallel scheme), self-tuning regulators, and direct and indirect control. Linear and non-linear dynamic systems are the course subject.
MRE6143
3
The course gives classical and numerical methods of optimization in depth that is followed by applications of controller optimization. Optimal controlling is presented for single-criterion and multi-criteria systems. Virtual implementation of optimal control is a part of the course.
MRE6153
3
This course covers wheel power management systems that autonomously control power distribution among the drive wheels of multi-wheel drive ground vehicles. The systems include various configurations with torque/power vectoring devices and individual wheel control, limited slip differentials and hydraulically controlled differentials, electronically-locking differentials, and positive engagement of the wheels. Autonomous wheel power management systems integrated with other vehicle autonomous systems are also presented in the course. Students will be lectured on mechanical design for mechatronic systems, methods for developing control algorithms based on inverse dynamics principles, and PLD implementation. Methods for experimental study of wheel power management systems and vehicles are also considered. Students will exercise analytical skills and gain hands-on experience through workshops, innovative homework, and labs using the 4×4 vehicle chassis dynamometer and system setups.
MRE6283
3
This course relates to a rapidly evolving area in mechatronics with many applications affecting current and future transportation systems such as autonomous reconfigurable ground and aircraft vehicles and future conventional vehicles. The `intelligent tire¿ technology utilizing tire-based sensors is considered in the course for improving mobility, energy efficiency, safety and reliability of the vehicles. Reconfigurable vehicle structures are discussed in conjunction with the intelligent tire dynamic response and vehicle-terrain interface issues. This advanced course provides students with knowledge in designing mechatronic systems/devices of intelligent tire and vehicle structure systems by combining theoretical and practical aspects of the intelligent tire and reconfigurable structures; advanced topics nonlinear modeling of dynamic systems; and sensor and actuator technology. Students will gain fundamental knowledge, analytical skills and hands-on experience through workshops, innovative homework, and laboratory test.
MRE6293
3
This course introduces the fundamental concepts & methods of knowledge representation, perception, reasoning, problem solving, data-mining, and machine learning in Artificial Intelligence (AI). Topics covered include Knowledge-Based Systems, Rule-Based Expert Systems, Uncertainty Management, Fuzzy Systems, Artificial Neural Networks, Evolutionary Computation, Semantic Web, and Autonomous Robotics.
MCS5323
3
This course introduces theories, algorithms, techniques, practical issues, and tools to develop & engineer software for intelligent autonomous robotics systems with ROS (Robot Operating System) software development environment. ROS has a large open source community and is becoming widely adopted in research, industrial, and autonomous vehicle applications. Covered topics include sensor data processing, machine vision, mobile robot control, localization, navigation, mapping, state machines, human-robot interaction/interfaces, robot communication, and 3D modeling and simulation with Gazebo. The course will also give students experience using Git, Linux, and various C++/Python tools and frameworks. Machine learning and deep learning technologies for autonomous vehicles will also be introduced.
MCS5403
3
Course not found.
MCS5563
3
The objective of the course is to study, understand, and practice the concepts of machine learning and pattern recognition. The course will cover the basic aspects of pattern recognition and machine learning such as different approaches to feature selection, classification methods, interpolation methods, and techniques of machine learning performance evaluation. In the end of the course the students will be able to implement all aspects of pattern recognition to create a working machine learning system that will solve a real-life pattern recognition problem.
MCS5623
3
Course not found.
MCS6513
3
Image representation, image enhancement and restoration, image encoding, feature extraction and image interpretation. Image compression, Applications to HDTD Computer Vision and object Recognition design.
EEE5274
4
This course focus on Sampling theory and sampling hardware, Z-transform, Discrete Time Fourier Transform, architecture of VLSI digital signal processors. Design and implementation of real time polynomial, FIR, IIR, and adaptive filters, spectral analysis with DTFT will be dealt. Filter realization techniques, Direct I, Direct II, Canonical, Parallel form. Design of DSP application in communication and digital control. Substantial programming assignments. Including interactive programming with industrial automation hardware and software.
EEE5654
4
Use Your Cell Phone as a Document Camera in Zoom
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Log in and start your Zoom session with participants
From Phone
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