Curriculum

Requirements

Students take a minimum 15 credits of coursework, including the required 9 credits of core courses and 6 credits of approved electives. Because this is an interdisciplinary graduate level certificate, a maximum 6 credits can be earned at the 4000 level.

No more than one third of the certificate course credits may be transferred from another institution, provided they were not applied toward a degree.

Students must earn a grade B or higher in each course counting toward the certificate.

Credits earned for this certificate may also be applied toward a single graduate degree at Michigan Technological University.

Required Coursework (A) 6 credits

EE 5811 - Automotive Systems

Automotive systems for light duty vehicles are examined from the perspectives of requirements, design, technical, and economic analysis for advanced mobility needs. This course links the content for the automotive systems graduate certificate in controls, powertrain, vehicle dynamics, connected and autonomous vehicles.
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): Electrical Engineering, Computer Engineering
Pre-Requisite(s): MEEM 4700 or MEEM 4775 or EE 3261

EE 5812 - Automotive Control Systems

Introduction to automotive control systems. Modeling and control methods are presented for: air-fuel ratio, transient fuel, spark timing, idle speed, transmission, cruise speed, anti-lock brakes, traction, active suspension systems, and hybrid electric vehicles, Advanced control methodologies are introduced for appropriate applications.
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, Computer Engineering
Pre-Requisite(s): EE 3261 or MEEM 4700 or MEEM 4775

Required Coursework (B) 3 credits - one of the following:

MEEM 4220 - Internal Combustion Engines I

This course teaches the operational principles of spark-ignition and compression-ignition internal combustion engines through the application of thermodynamics, fluid dynamics, and heat transfer. Course studies engine performance, efficiency, and emissions using cycle-based analysis, combustion thermochemistry, and compressible fluid flow.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Spring
Restrictions: May not be enrolled in one of the following Level(s): Graduate
Pre-Requisite(s): MEEM 4201(C)

EE 4219 - Introduction to Electric Machinery and Drives

Provides a thorough understanding of how electric machines can be used to drive loads with control of speed, torque and position. Topics include basic electro-mechanics, rotating machinery, dc machines, ac machines, power electronics and load modeling. Applications include industrial systems, hybrid/electric vehicles and electric power systems.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Spring
Pre-Requisite(s): EE 2110 or EE 2112 or EE 3010

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

Elective Coursework (C) - 6 Credits

Undergraduate Courses: (Only one course can be taken from this list. Only 3 credits will apply)

EE 4219 - Introduction to Electric Machinery and Drives

Provides a thorough understanding of how electric machines can be used to drive loads with control of speed, torque and position. Topics include basic electro-mechanics, rotating machinery, dc machines, ac machines, power electronics and load modeling. Applications include industrial systems, hybrid/electric vehicles and electric power systems.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Spring
Pre-Requisite(s): EE 2110 or EE 2112 or EE 3010

MEEM 4220 - Internal Combustion Engines I

This course teaches the operational principles of spark-ignition and compression-ignition internal combustion engines through the application of thermodynamics, fluid dynamics, and heat transfer. Course studies engine performance, efficiency, and emissions using cycle-based analysis, combustion thermochemistry, and compressible fluid flow.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Spring
Restrictions: May not be enrolled in one of the following Level(s): Graduate
Pre-Requisite(s): MEEM 4201(C)

EE 4252 - Digital Signal Processing and its Applications

Digital signal processing techniques with emphasis on applications. Includes sampling, the Z-transform, digital filters and discrete Fourier transforms. Emphasizes techniques for design and analysis of digital filters. Special topics may include the FFT, windowing techniques, quantization effects, physical limitations, image processing basics, image enhancement, image restoration and image coding.
Credits: 4.0
Lec-Rec-Lab: (3-0-2)
Semesters Offered: Fall
Pre-Requisite(s): EE 3160

EE 4253 - Real Time Signal Processing

Practical implementation of digital signal processing concepts as developed in EE4252. Emphasis on applications of DSP to communications, filter design, speech processing, and radar. Laboratory provides practical experience in the design and implementation of DSP solutions.
Credits: 3.0
Lec-Rec-Lab: (2-0-2)
Semesters Offered: Spring
Pre-Requisite(s): EE 4252

EE 4272 - Computer Networks

Computer network architectures and protocols; design and implementation of datalink, network, and transport layer functions. Introduction to the Internet protocol suite (TCP, UDP, IP), domain name service and protocols, file sharing protocols, wireless networks, and network security.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Fall, Spring
Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
Pre-Requisite(s): CS 3411

EE 4735 - Embedded Systems Engineering

Covers the use of low-power microcontrollers in embedded sensing and control systems. Topics include: hardware- dependent C programming, commercial I/O devices, configuring I/O ports to interface with analog and digital sensors, actuators, transmitters, receivers, mobile robots, and wireless sensor nets.
Credits: 3.0
Lec-Rec-Lab: (2-0-3)
Semesters Offered: Spring, Summer
Restrictions: May not be enrolled in one of the following Level(s): Graduate
Pre-Requisite(s): (CS 1111 or CS 1142 or EE 2241) and (EE 3170 or EE 3171 or EE 3173)

EE 4227 - Power Electronics

Fundamentals of circuits for electrical energy processing. Covers switching converter principles for dc-dc, ac-dc, and dc-ac power conversion. Other topics include harmonics, pulse-width modulation, feedback control, magnetic components and power semiconductors.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Fall, Summer
Pre-Requisite(s): EE 3120 and (EE 3130(C) or EE 3131)

EE 4296 - Experimental Studies in Hybrid Electric Vehicles

Hands-on course examines hybrid electric vehicles from an energy perspective. Topics include powertrain architecture, vehicle testing, fuel consumption, aerodynamics and rolling resistance, engines, batteries, electric machines and power electronics. Course culminates with study of system interactions with emphasis on idle reduction and regenerative braking.
Credits: 3.0
Lec-Rec-Lab: (0-2-2)
Semesters Offered: Fall
Restrictions: Must be enrolled in one of the following College(s): College of Engineering; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

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

Graduate Courses (at least 3 credits from this list)

EE 5227 - Advanced Power Electronics

Advanced topics of circuits for electrical energy processing. Covers switching converter principles for dc-dc, ac-dc, and dc-ac power conversion. Other topics include harmonics, pulse-width modulation, classical feedback control, nonlinear control, magnetic components, power semiconductors, and digital simulation.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Fall - Offered alternate years beginning with the 2012-2013 academic year
Restrictions: Must be enrolled in one of the following Level(s): Graduate
Pre-Requisite(s): EE 4227

EE 5461 - Mobile Networks

This course wil explore the Mobile network issues including routing and mobility management strategies in ad hoc networks, sensor networks, and personal area networks such as Bluetooth.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Spring, Summer
Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
Pre-Requisite(s): EE 4272 or CS 4461

EE 5726 - Wireless Sensor Networks

Introduces the concepts of wireless sensor networks. Topics include sensor network coverage and sensor deployment, time synchronization and sensor node localization, network protocols, data storage and very, collaborative signal processing. Introduce sensor network programming network reliability and tolerance.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: On Demand
Pre-Requisite(s): (CS 4461 or EE 4272 or EE 5722) and (EE 3170 or EE 3173) and (CS 1129 or CS 2141)

EE 5841 - Machine Learning

This course will explore the foundational techniques of machine learning. Topics are pulled from the areas of unsupervised and supervised learning. Specific methods covered include naive Bayes, decision trees, support vector machine (SVMs), ensemble, and clustering methods.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Spring
Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
Pre-Requisite(s): CS 4090

EE 5900 - Special Topics in Electrical Engineering

Special topics in electrical engineering selected by the student and approved by his/her advisor and the faculty member who will approve the study.
Credits: variable to 5.0; May be repeated
Semesters Offered: Fall, Spring, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Electrical Engineering, Computer Engineering

EE 5275 - Energy Storage Systems

Designing energy storage solutions for grid, vehicle and portable/autonomous systems. Quantitative and qualitative analysis of energy storage aging, cost, and performance improvement.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Spring

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): Engineering Mechanics, Mechanical Eng-Eng Mechanics, Mechanical Engineering
Pre-Requisite(s): MEEM 4700 or MEEM 4775

EE 5295 - Advanced Propulsion Systems for Hybrid Electric Drive Vehicles

Hybrid electric vehicles (HEV) will be studied and simulated using advanced powertrain component analysis and modeling. An in-depth analysis and study of power flows, losses, and energy usage are examined for isolated powertrain components and HEV configurations. Simulation tools will be developed and applied to specify powertrain and vehicle components and to develop control and calibration for a constrained optimization to vehicle technical specifications.
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 College(s): College of Engineering
Pre-Requisite(s): MEEM 4295 or EE 4295

EE 5296 - Powertrain Integration in HEV

This hands-on course examines challenges with powertrain integration in Hybrid Vehicles. Topics include Vehicle Development Process, Thermal Management, Vehicle Controls, Safety, Calibration, and Vehicle Simulation Models. The course project includes optimizing performance of a configurable HEV using modeling and experimentation.
Credits: 3.0
Lec-Rec-Lab: (0-2-2)
Semesters Offered: Spring, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following College(s): College of Engineering
Pre-Requisite(s): MEEM 4296 or EE 4296

EE 5750 - Distributed Embedded Control Systems

This course will develop an understanding for the design and application of embedded control systems. Topics to be covered include: embedded system architecture, model-based embedded system design, real-time control, communication protocols, signal processing, and human machine interface. Embedded applications in advanced hybrid electric vehicles will also be introduced.
Credits: 3.0
Lec-Rec-Lab: (0-2-2)
Semesters Offered: Spring
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following College(s): College of Engineering; Must be enrolled in one of the following Major(s): Electrical Engineering
Pre-Requisite(s): MEEM 4700 or MEEM 4775 or EE 3261 or EE 4261

MY 5760 - Vehicle Battery Cells and Systems

The behavior and application of batteries will be examined by introducing concepts from thermodynamics, materials science, transport processes and equivalent circuits. The non-ideal power source behavior of rechargeable batteries in applications will be treated using electrolyte: electrode transport and electrode materials chemistry. Prior exposure to freshman chemistry, elementary electrical circuits, and elementary transport theory is assumed.
Credits: 3.0
Lec-Rec-Lab: (3-0-0)
Semesters Offered: Fall - Offered alternate years beginning with the 2010-2011 academic year
Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
Pre-Requisite(s): MEEM 2200 or CM 3230 or MY 3100 or EE 2110 or MEEM 5990

MEEM 5290 - Principles of Energy Conversion

Introduces background, terminology, and fundamentals of energy conversion and storage. Discusses current and emerging technologies for production of thermal, mechanical, and electrical energy. In-depth analysis of major thermodynamic power cycles. Topics include fossil and nuclear fuels, thermodynamic power cycles, solar energy, wind energy, and energy storage. No credit for both MEEM4200 and MEEM5290.
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 College(s): College of Engineering

MEEM 5440 - Advanced Vehicle Dynamics

This course will develop advanced nonlinear models to predict vehicle dynamic response of road vehicles by means of Matlab Simulink environment. Topics covered by this course include advanced tire modeling, powertrain modeling, lateral dynamics and vertical dynamics.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Fall, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechanical Eng-Eng Mechanics, Engineering Mechanics

MEEM 5670 - Experimental Design in Engg

Review of basic statistical concepts. Models for testing significance of one or many factors. Reducing experimental effort by incomplete blocks, and Latin squares. Factorial and fractional factorial designs. Response surface analysis for optimal response.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Fall, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate

MEEM 5250 - Internal Combustion Engines II

Advanced topics in internal combustion engines with emphasis on CI operation, modeling of engines, modeling of combustion processes, tribology, second law applications, and other topics of current interest.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: Fall - Offered alternate years beginning with the 2001-2002 academic year
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Engineering Mechanics, Mechanical Eng-Eng Mechanics, Mechanical Engineering
Pre-Requisite(s): MEEM 4220 and MEEM 4201(C)

MEEM 5255 - Advanced Powertrain Instrumentation and Experimental Methods

Course is for those interested in experimentation, engines, and powertrain. Objective is prepare to acquire quality data, and efficient experiments. Investigate transducers, calibration, data acquisition, signal conditioning, noise, and specific applications; engine combustion and emissions. Hands-on homework and structured lab activities.
Credits: 3.0
Lec-Rec-Lab: (0-2-2)
Semesters Offered: Spring
Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
Pre-Requisite(s): MEEM 4220(C)

MEEM 5700 - Dynamic Measurement/Signal Analysis

Assessment of measurement system requirements: transducers, conditioners, and displays of dynamic measurands. Time-, frequency-, probabilistic-, and correlative-domain approaches to dynamic signal analysis: sampled data, discrete Fourier transforms, digital filtering, estimation errors, system identification, calibration, recording. Introduction to wavelet analysis. All concepts reinforced in laboratory and simulation exercises.
Credits: 4.0
Lec-Rec-Lab: (0-3-3)
Semesters Offered: Fall, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following College(s): College of Engineering

MEEM 5220 - Fuel Cell Technology

Fuel cell basics, operation principles and performance analysis. Emphasis on component materials and transport phenomena on proton exchange membrane fuel cells along with other types of fuel cells. Hydrogen production, transportation, and storage. Balance of plant and systems analysis.
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 College(s): College of Engineering

EE 5455 - Cybersecurity of Industrial Control Systems

General introduction to cybersecurity of industrial control systems and critical infrastructures. Topics include NIST and DHS publicatiions, threat analysis, vulnerability analysis, red teaming, intrusion detection systems, industrial networks, industrial malware, and selected case studies.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: On Demand
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Computer Engineering, Computer Science, Electrical Engineering
Pre-Requisite(s): MEEM 4700 or MEEM 4775 or EE 3261

EE 5900 - Special Topics in Electrical Engineering

Special topics in electrical engineering selected by the student and approved by his/her advisor and the faculty member who will approve the study.
Credits: variable to 5.0; May be repeated
Semesters Offered: Fall, Spring, Summer
Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Electrical Engineering, Computer Engineering

MEEM 5201 - Fundamentals of SI Engines

A combination of lab lecture and hands-on activities. Operation fundamentals, performance metrics, thermochemistry, combustion, Miller & Atkinson cycle, fuel & air system, supercharging & turbocharging, exhaust systems, energy balance, variable valve actuation, simulation, and advanced concepts & trends.
Credits: 1.0
Lec-Rec-Lab: (0-0-2)
Semesters Offered: Summer - Offered alternate years beginning with the 2017-2018 academic year
Restrictions: Must be enrolled in one of the following College(s): College of Engineering; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

MEEM 5202 - Fundamentals of Diesel Engines

A combination of lab lecture and hands-on activities. Fundamentals of operation, performance metrics, thermochemistry, combustion, fuel injection and spray, air systems and turbocharging, EGR, energy balance, heat transfer, diesel engine simulation, and advanced concepts and trends in diesel engines.
Credits: 1.0
Lec-Rec-Lab: (0-0-2)
Semesters Offered: Summer - Offered alternate years beginning with the 2018-2019 academic year
Restrictions: Must be enrolled in one of the following College(s): College of Engineering; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

MEEM 5203 - SI Engine Control Systems

A combination lab lecture and hands-on activities. Review engine operation, regulations, intro to engine control, sensors & actuators, causality effects, combustion phasing, lambda, valve timing, load, control of, throttle, knock, turbo, fuel, emissions control, algorithm & calibration, OBD, controller communications.
Credits: 1.0
Lec-Rec-Lab: (0-0-2)
Semesters Offered: Summer - Offered alternate years beginning with the 2017-2018 academic year
Restrictions: Must be enrolled in one of the following College(s): College of Engineering; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

MEEM 5204 - Diesel Engine Control Systems

A combination of lab lecture and hands-on activities. Review diesel operation, regulations, intro to engine control, diesel engine actuators, load control, Start of Injection, Rail Pressure, Turbo Control, EGR & Engine Out Emissions, after treatment, algorithm & calibration, OBD, controller communications.
Credits: 1.0
Lec-Rec-Lab: (0-0-2)
Semesters Offered: Summer - Offered alternate years beginning with the 2018-2019 academic year
Restrictions: Must be enrolled in one of the following College(s): College of Engineering; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

SU 5010 - Geospatial Concepts, Technologies, and Data

High-level review of geospatial data acquisition systems, sensors and associated processing technologies. Course considers geospatial metadata generation principles, interoperability, and major tools for manipulation with geospatial data. Course may help in transition of non-geospatial majors to geospatial field.
Credits: 3.0
Lec-Rec-Lab: (0-3-0)
Semesters Offered: On Demand
Restrictions: Must be enrolled in one of the following Level(s): Graduate

Online Delivery

All the core required courses and many of the approved elective courses are / will be offered online. This allows off-campus students to fully complete the Graduate Certificate in Automotive Systems and Controls online.

Typical Schedule

It is anticipated that degree-seeking students will take at a minimum one course each semester toward the certificate, since certificate credits can be counted towards a degree. It is expected that students will take additional courses each semester so that the certificate is completed within 3-4 semesters. It is also anticipated that the majority of non-degree seeking students will be online students who will take one course each semester toward the certificate, hence it is expected that these students will complete the certificate in 5-6 semesters.