MS Requirements

Covers the components of a robot system, safety, concepts of a work-cell system, geometry, path control, automation sensors, programming techniques, hardware, and software.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-2)
• Semesters Offered: Fall
• Pre-Requisite(s): EET 1411 or EET 2121 or PH 2230 or EE 2111 or EE 3010

Covers the components of a robot system, safety, concepts of a work-cell system, geometry, path control, automation sensors, programming techniques, hardware, and software.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-2)
• Semesters Offered: Fall
• Restrictions: Must be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): EET 1411 or EET 2121 or PH 2230 or EE 2111 or EE 3010

Procedures for setting up, teaching, testing, and modifying robot vision systems widely used in industrial automation. Introduces advanced Teach Pendant Programming to develop complex scenarios for integrating robots into industrial cells. Final project must demonstrate proficiency in setting up and programming an advanced robotic vision scenario.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-3)
• Semesters Offered: Spring, Summer
• Restrictions: May not be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): EET 4144

Procedures for setting up, teaching, testing, and modifying robot vision systems widely used in industrial automation. Introduces advanced Teach Pendant Programming to develop complex scenarios for integrating robots into industrial cells. Final project must demonstrate proficiency in setting up and programming an advanced robotic vision scenario.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-3)
• Semesters Offered: Spring, Summer
• Restrictions: Must be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): EET 4144 or EET 5144

Using Allen Bradley Contr Logix and SLC500 programmable controllers, course covers structured programming, Sequential Function Charts, networking, proportional integral differential control, data acquisition and interfacing. The labs will require students to write and troubleshoot complex PLC programs.

• Credits: 4.0
• Lec-Rec-Lab: (0-2-3)
• Semesters Offered: Spring
• Restrictions: Must be enrolled in one of the following Major(s): Electrical & Computer Engineer, Electrical Eng Tech, Robotics Engineering, Mechatronics, Computer Engineering, Electrical Engineering; Must be enrolled in one of the following Class(es): Junior, Senior
• Pre-Requisite(s): EET 3373 or EE 3373

Using Allen Bradley Contr Logix and SLC500 programmable controllers, course covers structured programming, Sequential Function Charts, networking, proportional integral differential control, data acquisition and interfacing. The course requires proposing, executing, and defending at the graduate level related to the course material project.

• Credits: 4.0
• Lec-Rec-Lab: (0-2-3)
• Semesters Offered: Spring
• Restrictions: Must be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): EET 3373 or EE 3373

Topics include: Fourier and Laplace transforms, signal comparison techniques and transfer functions. Control techniques addressed will include feedback, cascade, feedforward, multivariable and model based methods.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): (EET 1121 or EET 1411) and MET 3130 or (MET 2110 and MET 2130)

Topics include: Fourier and Laplace transforms, signal comparison techniques and transfer functions. Control techniques addressed will include feedback, cascade, feedforward, multivariable and model based methods. Graduate students are expected to demonstrate ability in modeling/simulation techniques of linear systems.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Summer
• Restrictions: Must be enrolled in one of the following Level(s): Graduate

Sensors and instrumentation used in a wide variety of industrial applications. Instrument static characteristics, measurement errors, and calibration. Signal conditioning circuits including instrumentation amplifiers, DC bridges, and filters. Sensors for measuring motion, force, pressure, flow, and temperature, including physical principles and required electronic circuits.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring
• Pre-Requisite(s): EET 1411 or EET 2121 or PH 2230 or EE 2111 or EE 3010

The design of discreet sequential controls using programmable logic controllers (PLCs). Relay logic is used to introduce ladder logic and ladder logic is used to program the PLC. Introduces a structured approach to sequential control design. Data acquisition is introduced using BridgeVIEW software.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-3)
• Semesters Offered: Fall, Summer
• Restrictions: Must be enrolled in one of the following Major(s): Mechatronics, Electrical Eng Tech, Computer Network & System Admn, Data Acquisition & Indust Cont, System and Network Security, Mechatronics
• Pre-Requisite(s): EET 1411 or EET 2121 or PH 2230 or EE 2111 or EE 3010 or EET 2411 or EE 2174

Data acquisition hardware and interfaces with different industrial sensors. Software development for data acquisition, signal processing, and real-time actuator control. Hands-on experience through laboratory experiments using commercial hardware and software platforms. Fundamentals of data acquisition systems (DASs), analog-to-digital convertors (ADCs), signal conditioning circuit design, actuators and drivers, and DAS design and integration.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-3)
• Semesters Offered: Fall
• Pre-Requisite(s): EET 3131

Learn fundamental of cryptography and its application to network security. Understand network security threats, security services, and countermeasures. Acquire background knowledge on well known network security protocols. Address open research issues in network security.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring
• Pre-Requisite(s): EE 4272 or CS 4461 or SAT 4812

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

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): Mechanical Eng-Eng Mechanics, Mechatronics, Engineering Mechanics, Mechanical Engineering
• Pre-Requisite(s): MEEM 4901(C) or Graduate Status >= 1

Introduction to state space analysis and design (state feedback, observers, and observer feedback); digital control system design and analysis (Z-transforms, difference equations, the discrete-time state model, and digital implementation of controllers); introduction to nonlinear systems (equilibrium states, linearization, phase plane analysis, and describing function analysis); and experiments with physical systems.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-2)
• Semesters Offered: Spring
• Pre-Requisite(s): EE 3261

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

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

This course introduces embedded control system design using model-based approach. Course topics include model-based embedded control system design, discrete-event control, sensors, actuators, electronic control unit, digital controller design, and communications protocols. Prior knowledge of hybrid electric vehicles are 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): Mechanical Engineering, Mechanical Eng-Eng Mechanics, Engineering Mechanics
• Pre-Requisite(s): MEEM 4775 or EE 4261 or EE 3261

Introduction to autonomous systems and robotics with focus on automated ground vehicles. Project based course using distributed computing to solve problems related to motion planning, perception, and localization. Requires experience with Linux operating systems variants, version control systems, and C++ or Python.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-3)
• Semesters Offered: Fall, Spring
• Restrictions: Permission of department required; Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following College(s): College of Engineering

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

Hybrid electric drive vehicle analysis will be developed and applied to examine the operation, integration, and design of powertrain components. Model based simulation and design is applied to determine vehicle performance measures in comparison to vehicle technical specifications. Power flows, losses, energy usage, and drive quality are examined over drive-cycles via application of these tools.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering, College of Computing; May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): MEEM 2700 or EE 2112

Introduces the mathematical analysis of signals, systems, and control. Topics include differential equations, Fourier series, Fourier transforms, LaPlace transforms, frequency response, Bode plots, state models, and an introduction to control systems.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): (EE 3010 or EE 2112) and (MA 2320 or MA 2321 or MA 2330) and (MA 3520 or MA 3521 or MA 3530 or MA 3560)

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

This course covers advanced topics in cyber security of automotive systems. Topics covered include modeling and simulation of cyber attacks on vehicle subsystems, communications, security for V2X systems, vulnerabilities in cooperative vehicle infrastructures, threat analysis, and cyber security of SAE level 2, 3, and 4 autonomous driving systems.

• 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): Computer Science, Mechanical Engineering, Mechanical Eng-Eng Mechanics, Computer Engineering, Electrical Engineering
• Pre-Requisite(s): MEEM 5310 or EE 5310

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

The main concepts of autonomous systems will be introduced including motion control, navigation, and intelligent path planning and perception. This is a hands-on project based course. Students will have the opportunity to work with mobile robotics platforms. Having a foundational understanding of programming is recommended to make the most of this course.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring
• Restrictions: Must be enrolled in one of the following Major(s): Mechanical Eng-Eng Mechanics, Robotics Engineering, Engineering Mechanics, Mechanical Engineering
• Pre-Requisite(s): MEEM 3750 or MEEM 4775(C) or EE 3160

Hybrid electric vehicle analysis will be developed and applied to examine the operation, integration, and design of powertrain components. Model based simulation and design is applied to determine vehicle performance measures in comparison to vehicle technical specifications. Power flows, losses, energy usage, and drive quality are examined over drive-cycles via application of these tools.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Restrictions: Must be enrolled in one of the following College(s): College of Engineering, College of Computing; May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): MEEM 2700 or EE 2112

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)

Cross-discipline system integration of sensors, actuators, and microprocessors to achieve high-level design requirements, including robotic systems. A variety of sensor and actuation types are introduced, from both a practical and a mathematical perspective. Embedded microprocessor applications are developed using the C programming language. A final project is required including analysis, design, and experimental demonstration.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-3)
• Semesters Offered: Fall, 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, Mechatronics, Engineering Mechanics, Mechanical Engineering
• Pre-Requisite(s): MEEM 3750

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

An introduction to fluid power components and systems. The course includes component selection, circuit design, electrical interfaces, and system troubleshooting and maintenance. A laboratory exposes students to system hardware and circuit simulation techniques for mobile and industrial applications.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): MET 3400 or MEEM 3201 or MET 3130

This course covers the dynamics and kinematics of rigid bodies as the foundation for analyzing the motion of robots. Robotic kinematics is reviewed by analyzing the motion of the robot. The dynamics is reviewed by analyzing the relation between the joint actuator torques and resulting motion.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring
• Pre-Requisite(s): MET 2130 or MET 3130

This course covers the dynamics and kinematics of rigid bodies as the foundation for analyzing the motion of robots. Robotic kinematics is reviewed by analyzing the motion of the robot. The dynamics is reviewed by analyzing the relation between the joint actuator torques and resulting motion.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring
• Pre-Requisite(s): MET 2130 or MET 3130

This course deals with the modeling and analysis of mixed physical systems. Introduction to modeling and oscillatory response analysis for discrete and continuous mechanical and structural systems. Time and frequency domain analysis of linear system vibrations. Vibration of multi-degree-of-freedom systems. Free vibration eigenvalue problems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): MET 2130

This course deals with the modeling and analysis of mixed physical systems. Introduction to modeling and oscillatory response analysis for discrete and continuous mechanical and structural systems. Time and frequency domain analysis of linear system vibrations. Vibration of multi-degree-of-freedom systems. Free vibration eigenvalue problems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): MET 2130

This course covers electro-hydraulic components including solenoid operated valves, proportional valves, and servo valves. Also covered are hydraulic systems including open-loop and closed-loop.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring
• Pre-Requisite(s): MET 4377

This course covers electro-hydraulic components including solenoid operated valves, proportional valves, and servo valves. Also covered are hydraulic systems including open-loop and closed-loop.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring
• Pre-Requisite(s): MET 4377

The evolution of information security into cybersecurity and its relationship to nations, organizations, society, and individuals. Exposure to multiple cybersecurity technologies, processes, and procedures; analyzing threats, vulnerabilities and risks present; and developing appropriate strategies to mitigate potential cybersecurity issues. Applied lab to develop cyber security offensive attributes and learn how to prevent and/or mitigate threats.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): SAT 2711 or CS 2321 or MIS 3200

An advanced course in cyber security that covers information assurance, cryptography and data security, and malware analysis. Key topics include: buffer overflow; security audits; cryptographic systems (symmetric and public-key algorithms); public-key certificates (X.509); message authentication; Kerberos; authentication applications; electronic mail security; IP security; and SELinux.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring, Summer
• Pre-Requisite(s): SAT 3812

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

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: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 3411