Curriculum

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: Fall
• Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Automotive Systems & Controls, Electrical Engineering, Computer Engineering, Electrical & Computer Engineer

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: Spring
• Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Electrical & Computer Engineer, Electrical Engineering, Computer Engineering
• Pre-Requisite(s): EE 3261 or MEEM 4775

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: Fall
• Restrictions: May not be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): MEEM 3201

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 2112 or EE 3010) and EE 3120

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

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 2112 or EE 3010) and EE 3120

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: Fall
• Restrictions: May not be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): MEEM 3201

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

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

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, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): CS 3411

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)

The hands-on course examines vehicle electrification from a power and energy perspective. Topics include powertrain architecture, vehicle and component testing, fuel consumption, aerodynamics and rolling resistance, engines, batteries, electric machines, and power electronics. The course culminates with the study of system interactions with emphasis on idle reduction and regenerative braking as mechanisms for increasing fuel economy.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring
• 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

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

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, in even years
• Restrictions: Must be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): EE 4227

This course will 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

Building blocks of wireless sensor networks, sensor node design, wireless communications, network protocols, data storage and retrieval, sensor localization and clock synchronization. Example application areas: robotics, autonomous vehicles and networks, power engineering, smart-grid, environment monitoring, and disaster relief.

• 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)

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: Permission of instructor required; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

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 & Computer Engineer, Electrical Engineering, Computer Engineering

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

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

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

This hands-on course examines challenges with powertrain integration in vehicle electrification. Topics include Vehicle Development Process, Thermal Management, Vehicle Controls, Safety, Calibration, and Vehicle Simulation Models. The course project includes optimizing performance of an electrified vehicle through 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(C) or EE 4296(C)

This course introduces embedded control system design using a model-based approach. Course topics include model-based embedded control system design, discrete-event control, sensors, actuators, electronic control unit, digital controller design, and communication protocols. Prior knowledge of hybrid electric vehicles is highly recommended.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• 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): MEEM 4700 or MEEM 4775 or EE 3261 or EE 4261

Introduces fundamentals of energy conversion and storage. Topics include fossil and nuclear fuels, thermodynamic power cycles, solar energy, photovoltaics, and energy storage. Students will apply energy economics and complete semester-long project.

• 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

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 Eng-Eng Mechanics, Engineering Mechanics, Mechanical Engineering, Computer Engineering, Electrical Engineering

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 College(s): College of Engineering
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

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: Spring, in odd years
• 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 4220 and (MEEM 4201(C) or MEEM 5212(C))

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)

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 College(s): College of Engineering, College of Computing
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

Fuel cell basics, operation principles and advanced performance analysis. Emphasis on component materials and two-phase transport phenomena on proton exchange membrane 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, 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

General introduction to cybersecurity of industrial control systems and critical infrastructures. Topics include NIST and DHS publications, 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): Electrical & Computer Engineer, Cybersecurity, Mechatronics, Computer Science, Computer Engineering, 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 & Computer Engineer, Electrical Engineering, Computer Engineering

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, in odd years
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

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, in even years
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

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, in odd years
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

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, in even years
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering
• Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

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: Spring
• Restrictions: Must be enrolled in one of the following Major(s): Integrated Geospatial Tech, Surveying Engineering, Geospatial Engineering