Use individual and team exercises to build skills for a dynamic systems approach.
Engineered systems increasingly must exploit complex interactions between multiple
domains—mechanical, electrical, chemical and biological. Numerical model prediction
is a powerful tool for optimal design, vibration analysis, test plan development,
and control system design. Through a combination of theory and practice, this certificate
helps engineers model, analyze, and control multiphysics dynamic systems using MATLAB
Simulink and Simscape.
3 courses in 3 semesters.
| Length |
3 courses in 2-3 semesters |
| Effort |
3 hours per credit per week |
| Each course |
3 credits |
| Total credits |
9 |
| Course type |
Online or on-campus |
| Modality |
Watch class recordings on demand |
| Cost |
Based on credits and course type |
| Already enrolled? |
Speak with your advisor. |
Apply
Progress quickly with a compact curriculum.
Work with the program advisor to select courses that fit your interests and pre-requisite
skills.
Check your preparation.
Here are some of the pre-requisite courses for this certificate.
EE 3261 - Control Systems
Mathematical formulation of control problems (both transfer function and state-variable descriptions); analysis of feedback control systems (stability, transient performance, steady-state error, sensitivity, etc.); analog and digital simulation; and experiments with physical systems.
- Credits:
3.0
- Lec-Rec-Lab: (2-0-2)
- Semesters Offered:
Fall, Spring
- Pre-Requisite(s): EE 3160
MEEM 3400 - Mechanical System Design and Analysis
In this course, students learn mechanical synthesis and analysis methods. They use case studies to develop relationships between design and performance. They apply synthesis methods to the design of a new product.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Fall, Spring, Summer
- Restrictions:
Must be enrolled in one of the following Major(s): Robotics Engineering, Mechanical Engineering
- Pre-Requisite(s): (ENG 2120 or MEEM 2150) and MEEM 2700
MEEM 3750 - Dynamic Systems
This course deals with the modeling, analysis and control of mixed physics systems. It covers differential equation generation for mechanical, thermal, and electrical systems, their simulation, and methods for analyzing their performance operating in both open and closed loop.
- Credits:
4.0
- Lec-Rec-Lab: (0-4-0)
- Semesters Offered:
Fall, Spring, Summer
- Restrictions:
Must be enrolled in one of the following Major(s): Mechatronics, Mechanical Engineering
- Pre-Requisite(s): MEEM 2700 and (MA 3520 or MA 3521 or MA 3530 or MA 3560)
Take 6 credits of required courses.
Take MEEM 5730 Dynamic System Simulation if it is offered, or take MEEM 5990 as Special
Topics: Dynamic System Simulation.
MEEM 5701 - Intermediate Dynamics
Intermediate study of several topics in engineering dynamics, including three-dimensional kinematics and kinetics, generalized coordinates, Lagrange's equation, and Hamilton's principle. Uses computer-aided dynamic simulation tools for analyzing dynamic systems.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Major(s): Mechanical Engineering, Mechanical Eng-Eng Mechanics, Engineering Mechanics
- Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1
MEEM 5730 - Dynamic System Simulation
Methods for simulating dynamic systems described by ordinary differential equations using numerical integration are developed including error quantification and simulation verification. MATLAB, Simulink and Simscape are used to illustrate key concepts.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Spring
- Restrictions:
Must be enrolled in one of the following Level(s): Graduate;
Must be enrolled in one of the following Major(s): Mechanical Eng-Eng Mechanics, Mechanical Engineering, Vehicle Dynamics, Engineering Mechanics
MEEM 5990 - Special Topics
Study of selected subjects related to mechanical engineering or engineering mechanics.
- Credits:
variable to 4.0;
May be repeated
- Semesters Offered:
Fall, Spring, Summer
- Restrictions:
Permission of department required;
Must be enrolled in one of the following Level(s): Graduate
Take a 3 credit elective course.
MEEM 4450 - Vehicle Dynamics
This course will develop the models and techniques needed to predict the performance of a road vehicle during drive off, braking, ride, and steering maneuvers. Topics to be covered include: acceleration and braking performance, power train architecture, vehicle handling, suspension modeling, tire models, and steering control. Matlab, Adams Car, and Amesim, will be used as computational tools.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Spring
- Restrictions:
Must be enrolled in one of the following College(s): College of Engineering;
Must be enrolled in one of the following Class(es): Junior, Senior
- Pre-Requisite(s): MEEM 3400 or EE 3261
MEEM 4775 - Analysis & Design of Feedback Control Systems
This course covers topics of control systems design. Course includes a review for modeling of dynamical systems, stability, and root locus design. Also covers control systems design in the frequency domain, fundamentals of digital control and nonlinear systems.
- Credits:
4.0
- Lec-Rec-Lab: (0-3-2)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Major(s): Mechanical Eng-Eng Mechanics, Robotics Engineering, Mechatronics, Engineering Mechanics, Mechanical Engineering
- Pre-Requisite(s): MEEM 3750 or EE 3160
MEEM 5702 - Analytical Vibroacoustics
First in a series of two courses on vibro-acoustics to provide a unified approach to study noise and vibration. Emphasizes interaction between sound waves and structures. Presents advanced vibration concepts with computational tools. Discusses wave-modal duality.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Major(s): Mechanical Engineering, Mechanical Eng-Eng Mechanics, Engineering Mechanics
- Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1
MEEM 5715 - Linear Systems Theory and Design
Overview of linear algebra, modern control; state-based design of linear systems, observability, controllability, pole placement, observer design, stability theory of linear time-varying systems, Lyapunov stability, optimal control, linear quadratic regulator, Kalman filter,
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Level(s): Graduate;
Must be enrolled in one of the following Major(s): Mechanical Engineering, Mechanical Eng-Eng Mechanics, Engineering Mechanics
- Pre-Requisite(s): MEEM 3750 or EE 3261
EE 5715 - Linear Systems Theory and Design
Overview of linear algebra, Modern Control: state-space based design of linear systems, observability, controllability, pole placement, observer design, stability theory of linear time-varying systems, Lyapunov stability, optimal control, Linear Quadratic regulator, Kalman filter, Introduction to robust control.
- Credits:
3.0
- Lec-Rec-Lab: (0-3-0)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Level(s): Graduate;
Must be enrolled in one of the following Major(s): Electrical Engineering, Electrical & Computer Engineer
- Pre-Requisite(s): EE 3261 or MEEM 3750
The minimum completion time is two semesters.
Here is a typical schedule.
| Fall |
Spring |
MEEM 5701
MEEM 4775 |
MEEM 5730 |
- Check the schedule of online classes to see which of your required or elective courses are available for upcoming semesters.
- Consult the academic calendar for fall and spring instruction start dates.
- Estimate costs based on tuition and online fees.
- Apply to the Graduate School for fall or spring semester.
- Review MTU Flex announcements related to the Graduate School.
- Check the schedule of classes to see which of your required or elective courses are available for upcoming semesters.
- Consult the academic calendar for fall and spring instruction start dates.
- Estimate costs based on tuition.
- Apply to the Graduate School for fall or spring semester.
Interested in taking a single, online course? Enroll as a non-degree seeking student.
Upon completion of the Certificate the student should be able to:
- Develop differential equation models of multiphysics dynamic systems exploiting methods
from analytical mechanics
- Create simulations of dynamic systems to achieve specified accuracy requirements using
advanced MATLAB, Simulink, and Simscape techniques
- Develop and select integration schemes for both real-time (embedded) and batch simulations
- Design advanced control systems or conduct vibration analysis studies for complex
dynamic systems
- Communicate the dynamic system analysis process through written project reports including:
statement of assumptions, equation of motion derivation, listing of conserved quantities,
numerical model architecture justification, and steps taken to verify numerical results
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The University is accredited by the Higher Learning Commission and widely respected
by fast-paced industries, including automotive development, infrastructure, manufacturing,
and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line
research, leaning into any challenge with confidence.
The College of Engineering fosters excellence in education and research.
We set out as the Michigan Mining School in 1885 to train mining engineers to better
operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled
in our 17 undergraduate and 29 graduate engineering programs across nine departments.
Our students and curriculum embrace the spirit of hard work and fortitude our founders
once had. Our online graduate courses are the same, robust classes taken by our doctorate
and masters candidates, taught directly by highly regarded faculty, with outstanding
support from staff. We invite working professionals to join these courses, bring their
own experience and challenges as part of the discussion. Leverage the national reputation
of Michigan Tech to advance your career in tech leadership.
Meet the online certified instructors.
Students have the flexibility to review class recordings later.
Teaching Statement
Dr. Blough teaches classroom and industry short course topics on dynamic measurement, signal analysis, and other experimental noise, vibration, and harshness techniques.
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Teaching Statement
Dr. Ma teaches courses in mechanical system design and analysis, advanced CAD and CAM methods, mechanism synthesis, dynamic modeling, and vehicle dynamics.
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Teaching Statement
Dr. Parker teaches courses in dynamic systems, control, robotics, and mechatronics, as well as linear and nonlinear system theory.
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Teaching Statement
Dr. Weaver teaches on propulsion systems for hybrid electric vehicles and linear systems theory and design.
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Teaching Statement
Dr. Yang teaches on topics of statics, shock, and vibration.
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