MECE 500 Graduation Project  (NC)

Each student is assigned a multidisciplinary term project that includes a detailed survey of the upto-date knowled on mechatronic application. A detailed engineering report should be submitted at the end of the term.

MECE 501 Applied Numerical Analysis (3-0)3

Use of computers to solve scientific and engineering problems. Application of mathematical judgment in selecting tools to solve problems and to present results. MATLAB software is used for all numerical computations.

MECE 502 Artificial Intelligence (3-0)3

Introduction to Artificial Intelligence. Search techniques. Constraint satisfaction problems. Propositional calculus. Predicate calculus. Reasoning. Reasoning under uncertainty. Bayes rule. Belief networks. Supervised learning methods. Neural networks. Semantic Nets. Reinforcement learning. Evolutionary methods.

MECE 503 Intelligent Systems and Applied Intelligence (3-0)3

The fundamental principles of intelligent machinery. Intelligent solutions for computationally complex engineering problems. Perception methods of environment, strategies used in processing the perceptual inputs, learning from experience, reasoning techniques and search methods. Tools in intelligent systems; Petri nets, neural networks, evolutionary computing techniques (genetic methods), fuzzy logic, intuitionistic fuzzy logic. Intelligent programming (prolog) and logic.

MECE 511 Actuators and Interfacing (2-2)3

Introduction to modeling and use of actuators in mechatronic design. Topics include Brushed DC motors, brushless DC motors, soloneoids, brushless AC, pneumatics pneumatic cylinders, pneumatic motors, Hydraulics hydraulic motors, hydraulic cylinders, piezo actuators, micro-actuators Micromotors, ...., principles, drive circuits and interfacing. torque-speed reductors (gearboxes), drive circuits, (real time) computer graphics interfacing.

MECE 512 Sensors, Perception and Interfacing (2-2)3

Sensing. Need for sensing. Signals, sampling. Filters and signal conditioning. A/D conversion. Sensor interfacing. Proximity sensors; IR sensors, ultrasonic sensors, capacitive sensors. Inertial sensors; gyroscopes, accelerometers, inclonometers. Magnetic sensors; magnetometers, hall-effect sensors. MEMS sensors. MEMS sensor modelling, simulation and design. A case study of a capacitive accelerometer.

MECE 513 Robot Vision (2-2)3

Theoretical framework and practical applications of computer vision. Introduction to binary image processing, edge detection, shading (photometric stereo, shape from shading), color, depth and stereo vision, calibration, dynamic vision, structure form motion, segmentation, feature extraction, shape recovery and object recognition. Principles and applications of decision-theoretic classification, discriminant functions, pattern processing and feature selection, syntactic pattern recognition, dynamic scene analysis and image.

MECE 514 Microcontrollers and Interfacing (2-2)3

Introduction to microcontrollers in electronic and electromechanical systems. Hardware and software design for user/system interfaces, data acquisition, and control. Architecture of  computers/microcontrollers(selected architecture of a set HC-11 e.g.). Memory. Address Decoding. Programming concepts. Interrupts.  I/O interfacing (serial,parallel). A/D, D/A operations. Timer operations.Microcontroller architecture. Motorola HCS12 architecture, instruction set. Modes of operation. Timer counter module. A/D conversion and HCS12 A/D port. Pulse width modulation. Serial communication. Background debug mode. Fuzzy control, instructions of HCS12 for fuzzy control.

MECE 515 Smart Composite Materials and Structures (3-0)3

Physical properties and mechanical behavior of polymer, metal, ceramic, cementitious, cellulosic and biological composite systems; micro- and macro-mechanics; lamination and strength analyses; static and transient loading; fabrication; recycling; design; analytical-experimental correlation; intelligent applications.

MECE 518 Digital Signal Processing and Applications (3-0)3

Discrete-time signals and systems. Discrete Fourier transform. Sampling and reconstruction. Linear time-invariant systems. Structures for discrete-time systems. Filter design techniques. FFT methods. Fourier analysis of signals using discrete Fourier transform. Digital signal processors. Advanced controller design using digital signal processors. * Design of FIR and IIR filters; DFT and its computation via FFT; applications of DFT; filter implementation; finite arithmetic effects.

MECE 521 Control Engineering I  (3-0)3

Dynamic analysis of systems involving automatic control of position, speed, power, flow, pressure, temperature, and other physical quantities. Analysis and design of control systems with digital controllers, including PID, finite settling time, state feedback, and minimum variance algorithms. s-transform, z-transform, mathematical modelling of dynamical systems, transfer functions, root-locus, bode plot, Nyquist plot, nichols chart Computer simulation and analysis using Matlab; laboratory study of feedback systems.

MECE 522 Control Engineering II (3-0)3

Continuous and discrete-time linear control systems; state variable models; analytical design for deterministic and random inputs; time-varying systems stability. Design of PID control systems, lead compensator, lag compensator, lead-lag compensator, control systems for disturbance rejection, state-space approach, design of control systems in state-space.

MECE 523 PC-Based Control (3-0)3

Interfacing of electro-mechanical systems to microcomputers for data acquisition, data analysis and digital control. Using of PC ports and Internet for data acquisition and control purposes. PC architecture. Serial port, parallel port, USB. Programming techniques for serial and parallel communication. ISA and PCI bus specifications. ISA bus interfacing and programming. Simple ISA card design for data aquisition.

MECE 524 Applied Optimal Control (3-0)3

Parameter optimization. Performance measures. Variational approach to open loop optimal control, Pontryagin’s minimum principle. Optimal feedback control, dynamical programming, linear systems with quadratic performance indices, matrix Riccati equation. Numerical solution techniques of optimal control problems. Lab study to apply optimal control techniques to example dynamical systems.

MECE 525 Intelligent Control (3-0)3

Uncertainty models and information representation: types of uncertainities and uncertainty measures. Intelligent control methodologies, learning control, fuzzy control, neurocontrol, neuro-fuzzy control.

MECE 530 Advanced Engineering Vibrations (3-0)3

Analytical and Numerical methods for solution of typical vibratory and balancing problems encountered in engines and other mechanical systems. General theory of free, forced, and transient vibrations; vibration transmission, isolation, and measurement; normal modes and generalized coordinates; method of matrix equation formulation and solution. The application of theory and methods to the analysis, measurement and design of dynamic systems. Response of single degree of freedom systems to periodic and non-periodic excitation. Lagrange equation. Proportionally and non-propotionally damped multidegree of freedom systems. Numerical methods; Rayleigh-Ritz method and transfer matrix methods. Condensation, structural coupling, structural modifications and modal synthesis. Vibration analysis using ANSYS. Vibration test devices and vibration measuring sensors. Experimental methods and modal testing, modal identification.

MECE 531 Advanced Structural Dynamics and Design of Mechanical Components  (3-0)3

Design of mechanical components subject to dynamic loads; lumped-mass modeling of continuous elements; analytical, numerical and finite element methods applied to the analysis and design of mechanical systems consisting of cables, bars, beams, frames, rings, plates and shells, etc.

MECE 532 Matrix Methods in the Design and Analysis of Mechanisms (3-0)3

An integrated approach to kinematic, static, and dynamic analysis of mechanical linkages based on the application of transformation matrices. Applications to planar and spatial mechanisms. Numerical methods of solution. Introduction to synthesis and optimization of linkages using transformation matrices.

MECE 533 Robot Motion Planning (3-0)3

This course investigates problems in motion planning that arise in robotics. The analysis and planning of motions of rigid bodies and articulated mobile robots is examined analytically and computationally. Methods include configuration space, artificial potential field, and road map approaches.

MECE 534 Principles of Robotics (3-0)3

Robotics and robotic manipulators. mathematics of manipulators Hartenberg-Denavit convention. Rotation matrices. homogeneous transformations, endeffector position and orientation, direct and inverse kinematics Velocity and acceleration analyses. Manipulator dynamics. Dynamic force analysis via Newton-Euler formulation. Motion equations via Lagrangian formulation. Path planning. Independent joint control. Control with computed torque method. Compliant motion control. Hybrid control with position and force feedbacks.

MECE 536 Vehicle Dynamics (3-0)3

Dynamics of road vehicles and flying vehicles. Modelling and simulation applied to vehicles.

MECE 537 Vehicle Control Systems (3-0)3

Design of control systems for road vehicles and flying vehicles. Parameter and state estimation. Guidance.

MECE 550 Theory of Engineering Design (3-0)3

Determination of the customer needs and the real design problem. Engineering creativity. Generation of innovative solution alternatives, and selection of the effective solution. Modularity in design. Collaboration in interdisciplinary design tasks. Concepts of systems, models, and strategies for purposeful activities. Design and control of design projects; organization of group interactions. A design project required.

MECE 551 Advanced Applied Design (3-0)3

Advanced case studies on engineering design. Topics include engineering reliability, engineering design ethics, practical design optimization, engineering safety, cost reduction, DFX at advanced level.

MECE 552 Advanced Machine Design  (3-0)3

Concepts, principles, procedures, and theories in advanced machine design. Combined stress failure theories, design with dynamic loading including impact and fatigue, and special topics in machine element design.

MECE 554 Computer Aided Design (3-0)3

CAD/CAM system hardware and software. Computer graphics basics and theory in 2-D and 3-D. Data-base fundamentals. Geometric modeling, curve, surface, wire frame and solid modeling techniques. Numerical methods as applied to Finite Element Analysis. CAD/CAM/CAE systems. Introduction to optimization theory and applications of multidimensional optimization algorithms to nonlinear engineering problems with constraints. Discussions on engineering problems solved using the CAD approach.

MECE 556 Design and Applications of Micro Systems (3-0)3

Methods of micromachining, smart structure fabrication. Design, modeling for physical, chemical, and biomedical microsensors/actuators. Electrostatic actuation, parallel-plate and comb drive actuators, FEM modeling and simulation of MEMS devices, MEMS CAD, Dynamics, linear and non-linear systems, Stress and strain, Mechanical structures, Residual stress and stress gradients, energy methods, estimating resonance frequencies, Dissipative effects, friction, Fluid flow in MEMS structures, Design  and applications of  micro mechanical sensors, actuators, and structures. Smart structures and microsystems packaging/integration.

MECE 557 Optimum Design of Mechanical Elements and Systems (3-0)3

Formulation and solution of enginering problems by use of mathematical programming methods (Linear, Nonlinear, Integer, Geometric prog. etc .methods).

MECE 561 Bio-Micro Systems (3-0)3

Design and applications of biomedical Microsystems, Microsurgical Tools, Microneedles and Drug Delivery Systems, Microfluidics and Design of Microfluidic Devices (Micropumps, microvalves, micromixers etc.), MicroLab plastic cards, Lab-on-a-chip applications, BioMechanical Sensors: Pressure, Acceleration etc., Microfluidic Sensors, BioMimetics.

MECE 562 Biomimetics and Design in Nature (3-0)3

Definition of biomimetics. Application areas in engineering. Biomimetics in vision application, in mobile robots, in multiple robotic systems, in optimization. Case studies and papers.

MECE 563 Applied MicroMechanics and MicroEngineering (3-0)3

Application of elasticity to micro structures (microdiaghram, microbeams, microrings etc) and numerical and analytical solution of micro engineering problems in design of micro systems.

MECE 572 Mechatronic Systems (2-2)3

Definition of mechatronics. Introduction to mechatronic systems. Fields of mechatronic engineering. Case studies (robot vision, mini-robots, mems accelerometer, lab-on-a-chip, UAVs).

MECE 573 Mechatronic Systems Modelling, Simulation and Control Laboratory (2-2)3

Mathematical modelling and simulation of three or four real dynamical systems. Application of control algorithms (linear PID, state-feedback, fuzzy, neuro-fuzzy, learning algorithms,...) on these physical systems. Kalman filtering and applications. Matlab, Simulink, xPC, PC104 architecture.

MECE 574 Industrial Automation and Robotics Technology  (3-0)3

Principles of industrial automation systems, system approach for automated machinery and plants. Advanced topics in pneumatic and hydraulic components and systems, Design of pneumatic and hydraulic systems. Principles of industrial robots and their role in industrial automation, Mobile robots, Robot arms, AS/RS. Design issues in industrial automation and robotics technology. Case studies, Term project.

MECE 581 Independent Study I  (1-4)3

Students are assigned to work closely with one or more faculty to gain expert knowledge on a specific topic in mechatronic engineering. Each student (either individually or as a member of a team) should either complete a design project and manufacture the design product, or carry out a detailed experiment (design or use an available setup) with an engineering evaluation report.

MECE 582 Independent Study II 

Students are normally expected to continue their work that they have started in MECE 581 at an advanced level. The work should normally end with a draft publication.

MECE 583 Special Topics I  (3-0)3

Courses not listed in the catalogues. Contents vary from year to year according to interest of students and instructor in charge.

MECE 584 Special Topics II  (3-0)3

Courses not listed in the catalogues. Contents vary from year to year according to interest of students and instructor in charge.

MECE 589 Graduate Seminar (NC)

Offered on a non-credit basis only for students selecting the option of “Master of Science in Mechatronics Engineering with thesis”. Student, faculty, and visiting scholar presentations of current research topics in mechatronics engineering.

MECE 599 Thesis (NC)

Program of research leading to MS degree arranged between student and a faculty member. Students register to this program upon their enrollment.