Prerequisite 1) EE 301 Signals and Systems or 2) ME 330 Modeling and Analysis of Dynamic Systems or equivalent
Prerequisite By Topic: Calculus. Description of signals through the use of transform methods. Proficiency in Matlab.
Textbook: D.G. R. Cooper and C. D. McGillem, Probabilistic Methods of Signal and System Analysis, Second Edition, Holt, Rinehart, and Winston, 1986.
References: D. G. Childers, Probability and Random Processes, Irwin, 1997
E. R. Dougherty, Probability and Statistics for the Engineering, Computing and Physical Sciences, Prentice Hall, 1990.
Coordinator: José A. Ramos, Associate Professor of Electrical and Computer Engineering
Goals: To introduce the concepts of probability, statistics and random processes and to discuss their application to engineering problems. To emphasize the applications of these methods in signal processing and communications.
Outcomes:
Upon completion of the course, students should be able to:
1. Solve simple probability problems with electrical and computer engineering applications using the basic axioms of probability [a, e]
2. Describe the fundamental properties of probability density functions with applications to single and multivariate random variables [a, b2, e]
3. Describe the functional characteristics of probability density functions frequently encountered in electrical and computer engineering such as the Binomial, Uniform, Gaussian and Poisson [a, b2]
4. Determine the first through fourth moments of any probability density function using the moment generating function [a, e]
5. Calculate confidence intervals and levels of statistical significance using fundamental measures of expectation and variance for a given numerical data set [b2]
6. Discern between random variables and random processes for given mathematical functions and numerical data sets [a, b2]
7. Determine the power spectral density of a random process for given mathematical functions and numerical data sets [a, b2]
8. Determine whether a random process is ergodic or nonergodic and demonstrate an ability to quantify the level of correlation between sets of random processes for given mathematical functions and numerical data sets [a, b2]
9. Model complex families of signals by means of random processes [a]
10. Determine the random process model for the output of a linear system when the system and input random process models are known [a, c, e]
Topics:

Introduction, applications of probability, relativefrequency approach, review of set theory (2 periods)

Axiomatic approach, conditional probability, independence (2 periods)
3. Bernoulli trials, random variables and distribution functions, probability density functions (2 periods)
4. Mean values and moments, Gaussian random variables, density functions related to Gaussian (2 periods)
5. Other density functions, conditional density functions, applications (2 periods)
6. Applications, test, joint distributions (2 periods)
7. Conditional probability, independence, covariance, sums of random variables (2 periods)
8. Random process definitions, examples of random processes, measurement of random processes (2 periods)
9. Correlation functions, properties of correlation functions, measurement of correlation functions (2 periods)
10. Crosscorrelation functions, applications, test (2 periods)
11. Spectral density, properties of spectral density, meansquare values from spectral density (2 periods)
12. Sampling and estimation theory; point and interval estimation (2 periods)
13. Sampling distributions, estimation of means and variances (2 periods)
14. Hypothesis testing and goodnessoffit test (2 periods)
15. Linear regression and correlation (2 periods)
Computer Usage: Matlab
Professional Component: Mathematics and Physical Sciences
Prepared by: Jose A. Ramos
Revised: April 28, 2004
B.3 Syllabi of Major Mechanical Engineering Electives
Syllabi of mechanical engineering electives are given in this section. These electives are 400 and 500 level courses. While the 400 level courses are of senior level courses, 500 level courses are graduate level courses. Even though most undergraduates take 400 level courses, in the combined BSMS degree program it is required the students take four graduate courses in the senior years instead of 400 level ME electives. Therefore, we provide here the syllabi of those graduate courses which students in this program will be able to take. Similar to undergraduate courses, the course learning outcomes are also declared in all graduate courses and the endofsemester surveys are conducted on these outcomes.

ME 402 Biomechanics of the Musculoskeletal System
 
ME 430 Principles of Power Engineering
 
ME 433 Principles of Turbomachinery
 
ME 446 CAD/CAMTheory and Applications
 
ME 450 ComputerAided Engineering Analysis
 
ME 458 Composite Materials
 
ME 472 Advanced Stress Analysis
 
ME 474 Vibration Analysis
 
ME 491 Engineering Design Project
 
ME 497 Analysis and Design of Robotic Manipulators
 
ME 497 Introduction to Nanotechnology
 
ME 497 Electromechanical Systems and Applied Mechatronics
 
ME 497 Biomedical Engineering Applications
 
ME C184, C284, C384, C484 Cooperative Education Practice
 
ME I184, I284, I384, I484 Career Enrichment Internship
 
ME 505 Intermediate Heat Transfer
 
ME 509 Intermediate Fluid Mechanics
 
ME 510 Gas Dynamics
 
ME 525 Combustion
 
ME 550 Advanced Stress Analysis
 
ME 551 Finite Element Analysis
 
ME 552 Advanced Applications of Finite Element Method
 
ME 558 Composite Materials
 
ME 560 Kinematics
 
ME 563 Mechanical Vibrations
 
ME 569 Mechanical behavior of Materials
 
ME 572 Analysis and Design of Robotic Manipulators
 
ME 597 Introduction to Nanotechnology
 
ME 597 Principles of Turbomachinery
 
ME 597 CAD/CAM – Theory and Applications
 
ME 597 Biomechanics of the Muskuloskeletal System
 
ME 597 Advanced Mechanical Engineering Project I

Elective Course: ME 402 Biomechanics of the Musculoskeletal System
Catalog Description: Credit 3. Class 3.
Mechanical design of organisms, with emphasis on the mechanics of the musculoskeletal system. Selected topics in prosthesis design and biomaterials; emphasis on the unique biological criteria that must be considered in biomechanical engineering design.
Prerequisite: ME 272 Mechanics of Materials or equivalent
Corequisite: None
Textbook: A. Nigg and B. Herzog, Biomechanics of the Musculoskeletal System, John Wiley & Sons, 1994.
Coordinator: Charles Turner
Goals: To provide students with an understanding of how living organisms optimize structures to adapt to the mechanical demands of their environment.
Course Outcomes:
After completion of this course, the students should be able to:

Construct free body diagrams and calculate forces on human joints [e]

Explain the role of remodeling in repair and replacement of bone [a4]

Apply failure criteria to determine when solid material or bone will fail [a4]

Be able to calculate stress and strain from elasticity equations for orthotropic or transversely isotropic materials [a4, e]

Be able to calculate principal stresses and strains for anisotropic materials [a4, e]

Explain the concept of mechanical adaptation of biological tissues [j, k3]

Apply biological adaptation strategies to engineering applications [c1]

Apply viscoelasticity models to explain mechanical properties of ligament and tendon [a4]

Explain the compressive mechanics of cartilage based upon biochemical composition [j]

Explain tissue engineering in terms of cellular biomechanics and biology [j]

Apply the basic mechanics of muscles to explain muscle function [g, j]

Apply mechanics of material to derive criteria for orthopaedic implant design [a4, h]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Tissue engineering of cartilage (2 periods)

Nature of viscoelasticity in biphasic materials and mechanics of cartilage (2 periods)

Bone biology and structure (2 periods)

Bone mechanotransduction and fundamentals of bone biomechanics. Basic theory of elasticity (4 periods)

Criteria for yielding including TsaiWu criterion (1 period).

Computer aided optimization and skeletal scaling (2 periods).

Muscle physiology (2 periods).

Muscle mechanics (1 period).

Tendons and Ligaments (2 periods)

Mechanics of human motion (2 periods)

Statically determinant systems (1 period)

Statically indeterminant systems (1 period)

Orthopedic prosthesis design (2 periods).
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Charles Turner
Revised: February 21, 2004
Elective Course: ME 430 Power Engineering
Catalog Description: Credit 3. Class 3.
Rankine cycle analysis, fossilfuel steam generators, energy balances, fans, pumps, cooling towers, steam turbines, availability (second law) analysis of power systems, energy management systems, and rate analysis.
Prerequisite: ME 200 Thermodynamics I
Corequisite: None
Textbooks: M.M. ElWakil, Powerplant Technology, McGrawHill, 1984.
Coordinator: Razi Nalim
Goals: The design and engineering power generation plants based on both conventional and renewable energy sources.
Course Outcomes:
After completion of this course, the students should be able to:

Discuss the energy resources and energy conversion methods available for the production of electric power in the US and the world [j]

Discuss the market factors, regulatory factors, and environmental concerns that have impact on the production of electric power [j]

Determine the efficiency and output of a modern Rankine cycle steam power plant from given data, including superheat, reheat, regeneration, and all irreversibilities [a4]

Calculate the water circulation rate, the fan power consumption, flame temperatures and combustion stoichiometry of conventional steam generators. [a4]

Calculate the tube surface requirement for condensers and feed water heaters, and the power output of impulse and reaction turbine stages [a4]

Calculate the performance of gas turbines, including reheat and regeneration, and discuss the use and performance of combined cycle power plants and geothermal power plants [a4]

Explain the major types of hydropower turbines and estimate power plant output [a4]

Explain the principles of operation of thermalfission and fastbreeder nuclear reactors and power plants, including pressurizedwater, boilingwater, and heavywater reactors [a4]

Discuss the power potential and challenges of nonconventional power plants and energy conversion systems, such as fuelcell, wind, solar, and ocean thermal power plants [e]

Describe the methods of control of major pollutants from fossilfuel power plants [h]

Discuss the environmental impact of electric power production on air quality, climate change, marine and aquatic ecology, and land use [h]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Introduction to Power Engineering (1 period)

Basics of Thermodynamics and Fluid Mechanics (2 periods)

The Rankine Cycle (3 periods)

FossilFuel Steam Generators (2 periods)

Fuels and Combustion (3 periods)

Condensers, Feed Water Heaters, and Cooling Water Systems (3 periods)

Steam Turbines (2 periods)

Gas Turbines (2 periods)

Hydro Power (1 periods)

Nuclear Power (3 periods)

Fuel Cells & IC Engines (2 periods)

Other Energy Sources and Conversions (2 periods)

Pollution Control (1 periods)

Tests and Design Project Presentation (3 periods)
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Razi Nalim
Revised: March 10, 2004
Elective Course: ME 433 Principles of Turbomachinery
Catalog Description: Credit 3. Class 3.
Unified treatment of principles underlying fluid mechanic design of hydraulic pumps, turbines, and gas compressors. Similarity and scaling laws. Cavitation. Analysis of radial and axial flow machines. Blade element performance. Radial equilibrium theory. Centrifugal pump design, Axial compressor design.
Prerequisites: 1) ME 200 Thermodynamics I and 2) ME 310 Fluid Mechanics
Corequisite: None
Textbooks: J.L. Kerrebrock, Aircraft Engines and Gas Turbines, 2^{nd} Edition, MIT Press.
Coordinator: Andrew Hsu
Goals: Introduce the basic concepts of turbomachinary and design procedures. Bridge the gap between basic engineering theory and industrial applications. Students may not receive credit for both ME 433 and corresponding ME 597.
Outcomes:
After completion of this course, the students should be able to:

Be able to give precise definition of turbomachinery [a4]

Identify various types of turbomachinery [a4]

Perform thermal cycle analysis on gasturbine engines [a4]

Perform fluid dynamic analysis of diffusers [a4]

Apply the Euler's equation for turbomachinery to analyze energy transfer in turbomachines [a4]

Apply threedimensional velocity diagrams to turbomachinary analysis. [a4]

Design axialflow turbines and compressors [c, a4]

Design radialflow turbomachines [e, a4]

Compute efficiencies of various turbomachines [a4, g]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Introduction: Definition and types of Turbomachines (1 period)

Review of Thermodynamics (2 periods)

Basic Concepts of Gas Turbines and Cycle Analysis (4 periods)

Efficiency

Turbojets and Turbofans

Qualitative Analysis

Compressor and Turbine Analysis

Nonrotating Components (5 periods)

Summary of Gas Dynamics

Diffusers

Nozzles

Combustors

Compressors (6 periods)

Energy exchange, Rotor to Fluid

The Euler Equation

Stage Temperature Ratio

Compressor Geometry and the Flow Pattern

Subsonic Blading

The Loss Factor and Efficiency

Limits on Stage Pressure Ratio

Stage Performance

Multistage Compressors

Centrifugal Compressors

Turbines (6 periods)

Turbine Stage Characteristics

Degree of Reactions, Pressure Ratio

Turbine Blading

Turbine Cooling

Turbine Efficiency

Turbine Similarity

Pumps and Fans (4 periods)
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Andrew Hsu
Revised: September 13, 2003
Elective Course: ME 446 CAD/CAM – Theory and Applications
Catalog Description: Credit 3. Class 2. Lab 2.
Introduction to computeraided design (CAD) and computeraided manufacturing (CAM) theory and applications. Topics include CAD/CAM systems (Hardware and Software), Geometric modeling using curves, surfaces and solids, CAD/CAM data exchange, CAD and CAM integration, Mechanical assembly, Mechanical Tolerancing, Mass property calculations, Process planning and Tool path generation, integration of CAD/CAM with the production machine, and Computer control of machines and processes in manufacturing systems. Projects will focus on development of geometric procedures for design and manufacturing applications and the use of commercial CAD/CAM software for automating the production cycle. Applications will include NC machining, design of (optimum) cutting tools and modeling and design of fixtures for dies and molds. Handson experience is attained through laboratory experiment.
Prerequisites: 1) ME 197 Introduction to Computer Programming and 2) ME 262 Mechanical Design I
Corequisites: None
Textbook: A. Zeid, CAD/CAM: Theory and Practice, McGrawHill, Inc, 1991.
Coordinator: Hazim ElMounayri
Goals: To introduce the basic tools in computer aided design and computer aided manufacturing with a focus on the integration of these tools and the automation of the production cycle. To prepare the student to be an effective user and developer of the stateoftheart CAD/CAM technology. Students may not receive credit for both this course and corresponding ME 597.
Outcomes:
After completion of this course, the students should be able to:

Design and model using CAD tools [c, k]

Automatically generate process plans using CAM tools [c, k]

Effectively and intelligently use the stateofart CAD/CAM technology [k]

Automatically produce manufacturing information needed to drive CNC machines and Rapid prototyping machines [k]

Implement CAD/CAMbased product development process [c]

Use a manufacturing setup integrated with CAD/CAM for automated production [c, k]

Explain the benefits of CAD/CAM, the different uses of the technology, and the advantage of a comprehensive and integrated and integrated CAD/CAM system [k]

Explain the concepts and underlying theory of modeling and the usage of models in the different engineering applications [k]

Compare the different types of modeling techniques and explain the advantages of Solid modeling technique and the central role of solid models in the CAD/CAMbased product development process [c]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

CAD/CAM definition (1 period)

CAD/CAM systems: Hardware and Software (1 period)

Introducing a CAD/CAM software for the course (2 class)

Geometric modeling using curves (1 period)

Geometric modeling using surfaces (1 period)

Geometric modeling using solids (3 periods)

CAD/CAM data exchange (1 period)

Graphics concept (2 periods)

Interactive computer programming (1 period)

Extending the functionality of an existing CAD/CAM system (2 periods)

CAD and CAM integration (1 period)

Mechanical assembly (1 period)

Mechanical Tolerancing (1 period)

Mass property calculations (1 period)

Finite element modeling using different modeling techniques (1 period)

Manufacturing systems and processes (1class)

Process planning (1 period)

Machining (2 periods)

Tool path generation (1 period)

Computer control of machines and processes in manufacturing systems (1 period)

Integration of CAD/CAM with the production machine (1 period)

Case study: Enhanced CAD/CAM for machining process simulation and optimization (2 periods)
Evaluation Methods: Homework assignments, quizzes, lab reports, two midterm exams, and one final exam.
Computer Usage: CAD/CAM software ProE and Mechanical Analysis software ProMechanica are used extensively in this course. Also used is FADAL CNC machine.
Professional Component: Engineering Sciences
Prepared by: Hazim ElMounayri
Revised: December 12, 2003
Elective Course: ME 450 ComputerAided Engineering Analysis
Catalog Description: Credit 3. Class 1.5. Lab 1.5
Introduction to the use of finite element methods for analysis and design. Applications involving stress analysis and heat transfer of solids. The use of existing software and hardware for computeraided engineering.
Prerequisites: 1) ME 262 Mechanical Design I and 2) and ME 272 Mechanics of Materials
Corequisites: None
Textbook: S. Moaveni, Finite Element Analysis  Theory and Application with ANSYS, Prentice Hall, New Jersey, 1999.
Coordinator: Hasan Akay
Goals: To teach the students the basic of the finite element method and its applications for design and analysis of problems including stress analysis and heat transfer of solids using a commercial finite element software.
Outcomes:
After completion of this course, the students should be able to:

Use the finite element method as a simulation/modeling tool for design [k2]

Use the finite element method for stress analysis and design of load carrying structures [k1]

Use the finite element method for heat transfer analysis of solids [k1]

Use commercial finite element codes competently for most analysis and design problems [e]

Create geometry and models for 2D and 3D systems [k2]

Evaluate the accuracy of results obtained from finite element codes [a4]

Make checks to verify the accuracy of the finite element solutions [a4]

Write project reports describing and evaluating the obtained results [g]

Give oral presentation of their projects [g]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering.
Topics:

Finite element formulation via direct methods (5 periods)

Finite element formulation via minimum potential energy principle (5 periods)

Stress Analysisbars, trusses; beams, frames; plates, shells, and 2D/3D solids (18 periods)

Heat Transfer Analysis of Solidsbars and 2D/3D solids (5 periods)

Dynamic problems (5 periods)

Applications using ANSYS
Computer Usage: Finite element analysis software ANSYS is used extensively for solid mechanics and heat transfer problems.
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final report and presentation.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Hasan U. Akay
Revised: December 12, 2004
Elective Course: ME 458 Composite Materials
Catalog Description: Credit 3. Class 3.
Basic concepts of fiber reinforced composites, manufacturing, mechanics and analysis of composite laminates and their application to engineering design are discussed.
Prerequisite: ME 272 Mechanics of Materials
Corequisite: None
Textbook: P.K. Mallick, Fiber Reinforced Composites: Materials, Manufacturing and Design, Second Edition, MarcelDekker, Inc., 1993.
Coordinator: Ramana Pidaparti
Goals: To teach students the basic concepts involved in fiber reinforced composites and their applications in engineering. Students may not receive credit for both this course and ME 558.
Outcomes:
After completion of this course, the students should be able to:

Explain the concept of composite materials [a4]

Differentiate metallic versus composite materials [a4]

Compare the mechanical properties of composite materials to the metallic materials [a4]

Predict the composite properties at microlevel [a4]

Explain different manufacturing techniques for composites [a4]

Analyze fiberreinforced composites for stresses and deformations [a4, k1]

Design composite members for stiffness and strength [a4]

Predict failure in composite members [a4]

Work in a group or individual setting and write a report [g]

Explain the advantages of composites over metals [a4]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering.
Topics:

Introduction: Overview of composite materials (1 period)

Materials: Fibers and Matrix (2 periods)

Mechanics: Lamina, laminated structure (9 periods)

Performance: Static mechanical properties, fatigue and fracture (8 periods)

Manufacturing: Molding, filament winding, poltrusion (4 periods)

Design: Laminate design, applications/examples (6 periods)
Computer Usage: Students use the finite element software ANSYS for modeling of composites.
Evaluation Methods: Homework assignments, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Ramana Pidaparti
Revised: November 28, 2003
Elective Course: ME 472 Advanced Mechanics of Materials
Catalog Description: Credit 3. Class 3.
Studies of stresses and strains in threedimensional elastic problems. Failure theories and yield criteria. Bending of curved beams. Torsion of bars with noncircular cross sections. Beams on elastic foundation. Energy methods. Selected topics. Students may not receive credit for both ME 472 and ME 550.
Prerequisite: 1) ME 272 Mechanics of Materials and 2) MATH 262 Linear Algebra and Differential Equations
Corequisite: None
Textbook: A.C. Ugural and S.K. Fenster, Advanced Strength and Applied Elasticity, The SI version, Elsevier 1995.
Coordinator: Jie Chen
Goals: To teach students tools require for design and analysis of complex problems in mechanics of materials.
Outcomes:
After completion of this course, the students should be able to:

Explain the concept of elasticity, and the difference between stress and strain [a4]

Explain the terms: isotropic, orthotropic and anisotropic, as applied to materials [a4]

Explain the terms: plane stress and plane strain [a4]

Conduct the transformation of plane stress or plane strain components using Mohr’s circle, the method of eigenvalues and eigenvectors, the method of quadratic form of ellipsoids, and the method of stress or strain trajectories [a4, e]

Use the concepts of principal stress and principal strains [e]

Use the basic tensor notations, the stress, strain and inertia tensors, and their reduction to principal axes [a4, e]

Apply the analytical procedures involved in strain gauge measurements, in particular the transformation equations [e]

Solve basic problems in twodimensional elasticity using Airy’s stress function [e]

Evaluate solutions of simple engineering problems using mechanics of material theories [e]

Use basic stability and yield criteria for elastoplastic materials [e]

Apply basic concepts of elastic stability and buckling of elastic structures [e]

Using finite difference approximations to solve elasticity problems governed by partial differential equations [e]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Threedimensional stress analysis (2 periods)

Plane stress and plane strain problems (2 periods)

Stress functions (2 periods)

Failure criteria (2 periods)

Bending of curved beams (2 periods)

Shear stresses (2 periods)

Shear center (2 periods)

Torsion (2 periods)

Thin walled members (2 periods)

Statically indeterminate problems (2 periods)

Elastic stability (2 periods)

Beams on elastic foundation (2 periods)

Fourier series (2 periods)

Energy methods (2 periods)

Introduction to plates (2 periods)
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Jie Chen
Revised: November 24, 2003
Elective Course: ME 474 Vibration Analysis
Catalog Description: Credit 3. Class 3.
Introduction to simple vibratory motions, such as undamped and damped free and forced vibrations, vibratory systems with more than one degree of freedom, Coulomb damping, transverse vibration of beams, torsional vibration, critical speed of shafts, and applications.
Prerequisites: ME 272, ME 274, and ME 330
Corequisites: None
Textbook: S.S. Rao, Mechanical Vibrations, Third Edition, Addison Wesley, 1995.
Coordinator: Ramana Pidaparti
Goals: To teach students a basic knowledge of point mass vibratory systems and vibration of elastic bodies. Students may not receive credit for both this course and ME 563.
Course Outcomes:
After completion of this course, the students should be able to:

Explain the concept of modes of vibration, and the difference between single, two and multidegreeoffreedom vibrating systems [a4]

Formulate the equation of motion of an undamped, single degreeoffreedom vibration system using both energy methods and Newton's laws of motion [a4]

Explain the difference between free and forced vibration [a1]

Formulate the equations of motion of vibrating systems with viscous damping and hysteretic damping [a4]

Explain the effect of damping on vibration response both in the time domain and in the frequency domain [a4]

Derive the equations of motion of lumped parameter, multidegreeoffreedom systems using matrix methods [a2, a4, k4]

Apply Lagrange's equation to derive equations of motion of simple vibrating systems, with single or multidegree of freedom [e, k4]

Obtain estimates for the lowest natural frequencies of continuous systems using Rayleigh's principle [a2]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Free vibration of a single degree freedom of undamped and damped systems of a mass and a spring, torsional vibration of a single degree freedom (5 periods)

Single degree of freedom of forced vibration of spring mass system, forced torsional vibrations, whirling of rotating shafts (4 periods)

Vibration of system with Coulomb damping (2 periods)

Two degrees of freedom of free vibration without damping (2 periods)

Two degrees of freedom of forced vibration without damping (2 periods)

Introduction to Rayleigh principle for an approximate determination of natural frequency (2 periods)

Introduction to vibration of elastic bodies such as rods, torsional members, beams, membranes (4 periods)

Transient vibration (3 periods)

Energy technique, an introduction to Langrange's equations (3 periods)

Experimental Model Analysis (2 periods)
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Dare Afolabi and Ramana Pidaparti
Revised: November 15, 2004
Elective Course: ME 491 Engineering Design Project (12 cr.)
Catalog Description: Credit 1 or 2. Class by arrangement.
The student selects an engineering design project and works under the direction of the faculty sponsor. Suitable projects may be from the local industrial, municipal, state, and educational communities. May be repeated for up to 4 credit hours. (12 cr.)
Prerequisite: Senior standing and consent of a faculty sponsor
Corequisite: None
Textbook: None
Coordinator: Ramana Pidaparti
Goals: To teach students to integrate and apply their courses by working on a multifaceted project.
Outcomes:
After completion of this course, the students should be able to:

Carry out a design project independently [c1 or c2]

Perform analysis of an engineering problem or design [c1 or c2]

Write a technical report [g]
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics: Broad range of topics in mechanical engineering.
Computer Usage: Depends on the project.
Evaluation Methods: Status reports and a final project report.
Professional Component: Design and Engineering Sciences
Prepared by: Ramana Pidaparti
Revised: April 12, 2004
Elective Course: ME 497 Analysis and Design of Robotic Manipulators
Catalog Description: Credit 3. Class 3.
Introduction to robotics and automated manufacturing; components and sub systems of robot manipulator; kinematics; dynamics; robot programming languages; task planning; overview of robot control; sensors and mobile robots.
Prerequisites: ME 372 Mechanical Design II, 2) Matrix algebra, 3) computer programming skills.
Corequisite: None
Textbook: W. Stadler, Analytical Robotics and Mechatronics, McGrawHill, Inc., 1995.
Coordinator: Yaobin Chen, Professor of Electrical and Computer Engineering.
Goals: To teach students the essential concepts necessary for understanding robots and their effective use in the industrial environment. Students may not receive credit for both this course and ME 572.
Outcomes:
After completion of this course, the students should be able to:

A knowledge of current state of robotics and its applications and impact in our societies [i].

An understanding of spatial coordinate transformation and an ability to define the coordinates and the corresponding kinematic parameters for robotic manipulators.

An ability to solve forward and inverse kinematic equations [a, e]

An ability to analyze robotic motion using the concepts of Jacobian matrix [a, e]

An understanding of robot dynamic modeling and an ability to derive dynamic model using Lagrange's equations of motion.

An ability to design robot motion trajectories to meet the design specifications and requirements. [a ,c, e, k]

An ability to analyze and design simple robot control systems using classical control design methods.

An ability to evaluate and test the system performance using computeraided tools [a, c, e, k]

An ability to program industrial robots to perform prespecified tasks.
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:

Overview of robotics and automated manufacturing (1 period)

Components and subsystems; implications for robot design (2 periods)

Kinematics: 3D transformations; forward and inverse position solutions; singularities; manipulator Jacobian; programming (4 periods)

Dynamics: Newton Euler formulation; Lagrangian formulation; recursive formulations (6 periods)

Robot programming languages (2 periods)

Task planning; path planning; trajectory planning (4 periods)

Robot control: position control, force control (6 periods)

Sensors: Vision; tactile; sensor fusion (4 periods)

Miscellaneous topics: Mobile robots; future direction; etc. (1 period)
Computer Usage: Student use MATLAB for some HW problems.
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences
Prepared by: Yaobin Chen
Revised: November 12, 2004
Elective Course: ME 497 Introduction to Nanotechnology
Catalog Description: Credit 3. Class 3.
Nanotechnology describes a new emerging field of molecular manufacturing; namely the ability to manipulate matter at the atomic and molecular level, and the ability to build complex structures and machines with atombyatom control. Such capability will have direct impact on material processing, drug and gene delivery, nanomachine manufacturing, and purification of water and air. ME students will be familiar with the concepts of nanotechonology and be prepared to pursue careers in related areas.
Prerequisites: 1) ME 310 Fluid Mechanics and ME 372 Mechanical Design II
Corequisites: None
Textbook: E. Drexler, Nanosystems, John Wiley & Sons, Inc., 1992
Coordinator: Andrew Hsu
Goals: This course will introduce basic ideas of nanotechnology and the basic laws that govern the physical and chemical properties of molecules. The introductory course aims at teaching the students in the following three areas:

The basics of molecular dynamics

The analysis of components and systems at the nanoscale

Implementation strategies
The course will also bring current research into the classroom by inviting researchers in this area to give talks. Students may not receive credit for both this course and corresponding ME 597.
Outcomes:
After completion of this course, the students should be able to:

Understand the basic concepts of nanotechnology [a4].

Understand the fundamental differences between nanotechnology and traditional technology [a4].

Understand the basic scaling laws [a4].

Grasp the essence of quantum mechanics and understand implications of eigenvalue solutions of the Schrodingers equation [a4].

Apply molecular dynamics computer simulation to simulate nanosystems [a4].

Understand the thermal and quantum uncertainties and their implication in molecular manufacturing [a4]

Appreciate the requirements of nano components and systems design [a4].

Be aware of the current research topics in nanotechnology [a4].
Note: The letters within the brackets indicate the program outcomes of mechanical engineering
Topics:
I. Basic Laws for Nanoscale Analysis (10 periods)

Introduction to Molecular Manufacturing

Classical Scaling Laws

Quantum Theory and Approximations *

Molecular Mechanics *

Intermolecular Forces *

Molecular Dynamics *

Computer Simulations of Molecular Dynamics I

Computer Simulations of Molecular Dynamics II *

Molecular Modeling I *

The Simple Huckel Method and Applications

The Extended Huckel Method (Tight Binding Method)

Tight Binding Molecular Dynamics

Positional Uncertainty and Thermal Excitation

Bending and Displacement

Transitions and Errors

Damages

Energy Dissipation

Mechanosynthesis

Reactive Species and Mechanochemical Synthesis
II. Nano Components and Systems (10 periods)

Nanoscale Structural Components

Moving Parts at Nanoscale I

Moving Parts at Nanoscale II

Intermediate Subsystems

Nanoscale Computational Systems

Molecular Processing and Assembly

Molecular Manufacturing Systems
II. Current Research (8 periods)

Guest Presentation: Nanomachinery

Guest Presentation: DNA and Nanotechnology
*NOTE: Extra project and homework problems will be assigned to graduate students on these items,
Evaluation Methods: Homework assignments, quizzes, two midterm exams, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Andrew Hsu
Revised: October 12, 2003
Elective Course: ME 497/ECE 424 Electromechanical Systems and Applied Mechatronics
Catalog Description Credit 3. Class 3.
Design, optimization, and control of electromechanical and mechatronic systems. Comprehensive dynamic analysis, modeling, and simulation of electric machines, power electronics, and sensors. Application of advanced software and hardware in mechatronic systems design and optimization.
Prerequisite: 1) ECE 340 Simulation, Modeling and Identification or 2) ME 340 Dynamic Systems and Measurements
Prerequisites by Topic: Kirchhoff’s laws and circuit equations, sinusoidal steady state analysis, frequency response, Laplace transforms and transfer functions, modeling and formulation of differential equations for dynamic systems.
Textbook: D. G. Alciatore and M. B. Histand, Introduction to Mechatronics and Measurement Systems, 2nd ed., McGrawHill, Boston, 2003. ISBN 0072402415.
Coordinator: Steven M. Rovnyak, Assistant Professor of Electrical and Computer Engineering.
Goals: To teach engineering students analysis, design, synthesis, and selection of systems that combine electronic and mechanical components with modern controls and microprocessors.
Outcomes:
Upon successful completion of the course, students should be able to:

Use transistors to switch loads [a, b, e]

Analyze and implement operational amplifier circuits [a, b, e]

Understand the basics of amplitude and phase linearity, bandwidth, step and frequency response of 0, 1st and 2nd order systems [a, e]

Analyze and implement basic digital combinational logic networks [a, b, e]

Program microcontroller and interface with input switches, output LEDs and loads [a, b, e, k]

Understand relationship between sampling rate and signal bandwidth [a, e]

Use electromechanical sensors including handson experience with roughly half of the following: proximity switches, potentiometers, linear variable differential transformers, optical encoders, strain gages, load cells, thermocouples and accelerometers [a, b, c, d, e, k]

Control electromechanical machinery including handson experience with roughly half of the following six categories: AC, DC and stepper motors, solenoids, hydraulic and pneumatic actuators [a, b, c, d, e, k]
Topics:
1. Electric circuits and components (3 periods)
2. Semiconductor electronics (3 periods)
3. Analog signal processing using operational amplifiers (2 periods)
5. Combinational logic circuits (3 periods)
6. Microcontroller programming (4 periods)
7. Sensors (4 periods)
8. Actuators (4 periods)
9. General properties of 0th, 1st and 2nd order systems (4 periods)
10. Signal sampling (2 periods)
11. Midterm exam (1 period)
12. Final exam.
Computer Usage: MPLAB IDE version 6.40.00.0, PICALLW programmer Windows version 0.14. Both available as Web download. Students complete two assignments involving Microchip PIC programming.
Laboratory Projects: Measurements and semiconductor electronics, operational amplifiers and digital electronics, microcontrollers and sensors, electromechanical machinery.
Evaluation Methods: Homework, 4 laboratory reports, one project, one semester exam, and one final exam.
Professional Component: Engineering Sciences (Engineering Topics)
Prepared by: Steven M. Rovnyak
Revised: May 4, 2004
