• ME 231X. INTRODUCTION TO COMPUTATIONAL SOLUTIONS FOR ENGINEERING PROBLEMS
  • ME 442X. RADIATION HEAT TRANSFER APPLICATION AND DESIGN
  • ME 1520. THE TECHNOLOGY OF ALPINE SKIING
  • ME 1800. MANUFACTURING SCIENCE, PROTOTYPING, AND COMPUTER-CONTROLLED MACHINING
  • ME 2300. INTRODUCTION TO ENGINEERING DESIGN
  • ME 2301. NANOBIOTECHNOLOGY LABORATORY EXPERIENCE
  • ME 2312. INTRODUCTION TO COMPUTATIONAL SOLUTIONS FOR ENGINEERING PROBLEMS
  • ME 2550. ATMOSPHERIC AND SPACE ENVIRONMENTS
  • ME 2713. ASTRONAUTICS
  • ME 2820. MATERIALS PROCESSING
  • ME 3310. KINEMATICS OF MECHANISMS
  • ME 3311. DYNAMICS OF MECHANISMS AND MACHINES
  • ME 3320. DESIGN OF MACHINE ELEMENTS
  • ME 3410. COMPRESSIBLE FLUID DYNAMICS
  • ME 3501. ELEMENTARY CONTINUUM MECHANICS
  • ME 3506. REHABILITATION ENGINEERING
  • ME 3602. INCOMPRESSIBLE FLUIDS
  • ME 3703. INTRODUCTION TO CONTROL OF DYNAMICAL SYSTEMS
  • ME 3711. AERODYNAMICS
  • ME 3712. AEROSPACE STRUCTURES
  • ME 3820. COMPUTER-AIDED MANUFACTURING
  • ME 3901. ENGINEERING EXPERIMENTATION
  • ME 4320. ADVANCED ENGINEERING DESIGN
  • ME 4322. MODELING AND ANALYSIS OF MECHATRONIC SYSTEMS
  • ME 4422. DESIGN AND OPTIMIZATION OF THERMAL SYSTEMS
  • ME 4429. THERMOFLUID APPLICATION AND DESIGN
  • ME 4430. INTEGRATED THERMOMECHANICAL DESIGN AND ANALYSIS
  • ME 4504. BIOMECHANICS
  • ME 4505. ADVANCED DYNAMICS
  • ME 4506. MECHANICAL VIBRATIONS
  • ME 4512. INTRODUCTION TO THE FINITE ELEMENT METHOD
  • ME 4606. BIOFLUIDS
  • ME 4710. GAS TURBINES FOR PROPULSION AND POWER GENERATION
  • ME 4713. SPACECRAFT DYNAMICS AND CONTROL
  • ME 4718. ADVANCED MATERIALS WITH AEROSPACE APPLICATIONS
  • ME 4719. ROCKET PROPULSION
  • ME 4723. AIRCRAFT DYNAMICS AND CONTROL
  • ME 4733. GUIDANCE, NAVIGATION AND COMMUNICATION
  • ME 4770. AIRCRAFT DESIGN
  • ME 4771. SPACECRAFT AND MISSION DESIGN
  • ME 4810. AUTOMOTIVE MATERIALS AND PROCESS DESIGN
  • ME 4813. CERAMICS AND GLASSES FOR ENGINEERING APPLICATIONS
  • ME 4814. BIOMEDICAL MATERIALS
  • ME 4815. INDUSTRIAL ROBOTICS
  • ME 4821. PLASTICS
  • ME 4832. CORROSION AND CORROSION CONTROL
  • ME 4840. PHYSICAL METALLURGY
  • ME 4860. FOOD ENGINEERING
  • ME 4875. INTRODUCTION TO NANOMATERIALS AND NANOTECHNOLOGY

Supplemental Undergraduate Courses

  • ME 442X. RADIATION HEAT TRANSFER APPLICATION AND DESIGN
    Radiation Heat Transfer Applications will develop the student’s knowledge of radiation and multi-mode heat transfer. Fundamentals of radiation will be covered: radiative properties of surfaces; view factors; exchange between black and grey surfaces; emission and absorption of gases; and flame radiation. Use of numerical methods will be emphasized as appropriate for solution of applications: the select numerical methods (numerical integration, matrix methods, ODE solutions) can be learned during the course. The course will conclude with a design exercise to be completed by each student. Each exercise will highlight radiation in a realistic scenario that requires multi-mode heat transfer and fluid mechanics analysis to develop the design solution. Exercise topics will come from subjects such as: solar power plants, solar effects on buildings, furnaces, fire safety in the built environment, etc.

    Recommended background: differential and integral calculus, and ordinary differential equations (MA 2051 or equivalent), and thermodynamics, fluid mechanics and heat transfer (ES 3001, 3003, 3004 or equivalents).
  • ME 501. ROBOT DYNAMICS
  • ME 513. THERMODYNAMICS
  • ME 516. HEAT TRANSFER
  • ME 531. APPLIED ELASTICITY
  • ME 542. CONTROL AND MONITORING OF MANUFACTURING PROCESSES
  • ME 543. DESIGN AND ANALYSIS OF MANUFACTURING PROCESSES
  • ME 550. TISSUE ENGINEERING
  • ME 552. TISSUE MECHANICS
  • ME 591. GRADUATE SEMINAR
  • ME 593. SPECIAL TOPICS
  • ME 621. DYNAMICS AND SIGNAL ANALYSIS
  • ME 5000. APPLIED ANALYTICAL METHODS IN ENGINEERING
  • ME 5001. APPLIED NUMERICAL METHODS IN ENGINEERING
  • ME 5100. INTRO TO NUMERICAL METHODS
  • ME 5101. ADVANCED FLUID DYNAMICS
  • ME 5102. ADVANCED GAS DYNAMICS
  • ME 5103. COMPUTATIONAL FLUID DYNAMICS
  • ME 5104. TURBOMACHINERY
  • ME 5105. RENEWABLE ENERGY
  • ME 5106. INTRO TO PLASMA DYNAMICS
  • ME 5107. APPLIED FLUID DYNAMICS
  • ME 5111. SPACECRAFT PROPULSION
  • ME 5200. MECHANICAL VIBRATIONS
  • ME 5202. ADVANCED DYNAMICS
  • ME 5203. INTRODUCTION TO CONTROL OF NONLINEAR DYNAMICAL SYSTEMS
  • ME 5204. MULTI-ROBOT SYSTEMS
  • ME 5205. BIOMEDICAL ROBOTICS
  • ME 5220. CONTROL OF LINEAR DYNAMICAL SYSTEMS
  • ME 5221. CONTROL OF NONLINEAR DYNAMICAL SYSTEMS
  • ME 5222. OPTIMAL CONTROL OF DYNAMICAL SYSTEMS
  • ME 5223. SPACE VEHICLE DYNAMICS AND CONTROL
  • ME 5224. AIR VEHICLE DYNAMICS AND CONTROL
  • ME 5225. FIBER OPTICAL SENSORS
  • ME 5303. APPLIED FINITE ELEMENT METHODS IN ENGINEERING
  • ME 5304. LASER METROLOGY AND NONDESTRUCTIVE TESTING
  • ME 5311. STRUCTURE AND PROPERTIES OF ENGINEERING MATERIALS
  • ME 5312. PROPERTIES AND PERFORMANCE OF ENGINEERING MATERIALS
  • ME 5313. INTRODUCTION TO NANOMECHANICS
  • ME 5326. ADVANCED THERMODYNAMICS
  • ME 5332. X-RAY DIFFRACTION AND CRYSTALLOGRAPHY
  • ME 5340. ANALYTICAL METHODS IN MATERIALS ENGINEERING
  • ME 5347. MTRLS FR ELECTROCHEM ENRGY SYS
  • ME 5350. PHASE TRANSFORMATIONS IN MATERIALS
  • ME 5356. SMART MATERIALS
  • ME 5358. PLASTICS
  • ME 5361. MECHANICAL BEHAVIOR AND FRACTURE OF MATERIALS
  • ME 5370. SURFACE METROLOGY
  • ME 5380. FOUNDATIONS OF ELASTICITY
  • ME 5381. APPLIED ELASTICITY
  • ME 5382. AEROELASTICITY
  • ME 5401. COMPUTER-AIDED DESIGN AND GEOMETRIC MODELING
  • ME 5420. FUNDAMENTALS OF AXIOMATIC DESIGN OF MANUFACTURING PROCESSES
  • ME 5431. COMPUTER INTEGRATED MANUFACTURING
  • ME 5441. DESIGN FOR MANUFACTURABILITY
  • ME 5841. SURFACE METROLOGY
  • ME 5847. ELECTROCHEMICAL ENERGY SYSTEMS

Supplemental Graduate Courses

  • ME 593: ST: AXIOMATIC DSGN OF MFG PROC
    This on-line only, seven week, two credit course includes an in-depth study of axiomatic design, the theory and practice.  Applications are considered primarily, although not exclusively, for the design of manufacturing processes and tools.  Axiomatic design is based on the premise that there are common aspects to all good designs. These commons aspects, stated in the independence and information axioms, facilitate the teaching and practice of engineering design as a scientific discipline.  Analysis of processes and products is considered from the perspective of supporting product and process design.  

    Fundamental methods of engineering analysis of manufacturing processes with broad applicability are developed.  Special attention is given to examples in machining (traditional, nontraditional and grinding), additive manufacturing, and to the production of surfaces.  The ability to generalize is emphasized to facilitate development of analysis and design methods with broader applicability. 

    The content is delivered in video lectures and in readings from the technical literature. The grade is from performance on homework and quizzes given and delivered on-line and on a design project on manufacturing processes.  The project will be developed in a series of assignments which will be reviewed and commented on individually.  Project topics can be from work or dissertations on many kinds of systems and services, in addition to traditional manufacturing processes and tools.  

    Credit cannot be given for this course and any of the similar, in-class versions for 3 credits, MFE520, MTE520 and ME543.
  • ME 593: ST: ELEM OF AXIO DSGN MFG PROC
    This on-line only, seven week, two credit course includes an in-depth study of axiomatic design, the theory and practice.  Applications are considered primarily, although not exclusively, for the design of manufacturing processes and tools.  Axiomatic design is based on the premise that there are common aspects to all good designs.  These commons aspects, stated in the independence and information axioms, facilitate the teaching and practice of engineering design as a scientific discipline.  Analysis of processes and products is considered from the perspective of supporting product and process design.

    Fundamental methods of engineering analysis of manufacturing processes with broad applicability are developed.  Special attention is given to examples in machining (traditional, nontraditional and grinding), additive manufacturing, and to the production of surfaces.  The ability to generalize is emphasized to facilitate development of analyses and design methods with broader applicability. 

    The content is delivered in video lectures and in readings from the technical literature. The grade is from performance on homework and quizzes given and delivered on-line and on a design project on manufacturing processes.  The project will be developed in a series of assignments which will be reviewed and commented on individually.  Project topics can be from work or dissertations on many kinds of systems and services, in addition to traditional manufacturing processes and tools.  Credit cannot be given for this course and any of the similar, in-class versions for 3 credits, MFE520, MTE520 and ME543.
  • ME 593: SP TOP:INTRO TO BIOMECH & RBTC
    This course introduces Biomechanics and Robotics as a unified subject addressing living and man-made "organisms". It draws deep connections between the natural and the synthetic, showing how the same principles apply to both, starting from sensing, through control, to actuation.  Those principles are illustrated in several domains, including locomotion, prosthetics, and medicine.  The following topics are addressed: Biological and Artificial sensors, actuators and control, Orthotics Biomechanics and Robotics, Prosthetic Biomechanics and Robotics: Artificial Organs and Limbs, Rehabilitation Robotics and Biomechanics: Therapy, Assistance and Clinical Evaluation, Human-Robot Interaction and Robot Aided Living for Healthier Tomorrow, Sports, Exercise and Games: Biomechanics and Robotics, Robot-aided Surgery,  Biologically Inspired Robotics and Micro-(bio)robotics, New Technologies and Methodologies in Medical Robotics and Biomechanics, Neural Control of Movement and Robotics Applications, Applied Musculoskeletal Models and Human Movement Analysis. This course meshes physics, biology, medicine and engineering and introduce students to subject that holds a promise to be one of the most influential innovative research directions defining the 21st century.

    (Recommended background: foundation of physics, linear algebra and differential equations; basic programming skills e.g. using MATLAB, undergraduate level biomechanics, robotics)