BACHELOR OF SCIENCE IN MECHATRONICS ENGINEERING

Objective
The graduate of this program will develop skills in mechanical, electronic and computer engineering. The main areas of activity are: Control and Automation, Autotronics, Micro-electromechanical Systems, Robotics and computer and Digital System.
The Graduate of this program is capable of designing and building controlled electromechanical systems and intelligent machines, also has the capacity to apply this knowledge to solve industry problems.
The graduate is able to solve requirements of the production in real process, using the application of specialized knowledge.

 

FRESHMAN (1st Year)

 

FIRST SEMESTER

 

Calculus I

Elementary analytic geometry, functions, limits, continuity, derivatives, antiderivatives, definite integrals.

General Chemistry

Covers thermochemistry, periodic properties, bonding, liquids, solids. Satisfies laboratory science requirement.

Physics I

First course in calculus-based physics for science and engineering students. Covers Newton's laws, statics, kinematics, work, energy, rotational dynamics, oscillations, gravitation, thermodynamics.

Introduction to Mechatronics Engineering

This course consists introduce the theory and practice of Mechatronics.
An introduction to the course structure of the Mechatronic Engineering Degree,  Fundamental concepts for analytically describing dynamic systems
The process of Design as an important part of the engineering process,
Components that exert effort to accomplish a given task, Components which take measurements of the environment, Hardware & Software

 

 

components that, when combined, allow a system to be controlled, Case studies relating to the application of Mechatronic Engineering principles.

Electrical and Electronic Engineering  I

Basic Circuits/DC Analysis: electrical quantities, components and sources, circuit analysis laws; Kirchhoff laws, series/parallel circuits, voltage/current divider, superposition, Thevenin theorem; controlled sources. Introduction to Electronics: electrical devices (diodes, transistors) and applications. Diodes, DC power supplies, transistors and op-amps. Introduction to Electrical Machines: introduction to magnetic circuits, transformers and DC and AC machines. Introduction to Digital Electronics: Boolean numbers and algebra, combinational components. Microcontroller Principles: microprocessor basics, interfacing and sensors. Digital Workshop: safety and basic skills;

English Composition

SECOND SEMESTER

Calculus II

Definite integrals, applications and techniques of integration, elementary transcendental functions, infinite series.

Physics II
 
Covers electrostatics, elementary circuits, magnetism, electromagnetic phenomena, optics, matter waves and particles and modern physics. Includes a laboratory.

Engineering Graphics

Introduction to computeraided design and drafting. Topics include
visualization methods and standards techniques for communication and presenting engineering design graphics information.

Engineering Mechanics- Statics

Introduction to mechanics of rigid bodies. Statics of particles. Equivalent force systems. Static equilibrium. Analysis of simple structures. Friction. Centriods. Center of gravity. Moments of inertia.

Electrical and Electronic Engineering  II

AC Analysis: sinusoidal AC signal characteristics; review of complex numbers; phasor representation and analysis; power energy. Mesh and Nodal analysis: Signals and Communication: resonance of RLC circuits; filters and frequency response; amplitude and frequency modulation concepts. Digital Electronics: sequential logic, advanced methods. Communications Skills and Professional Engineering: basic verbal skills including presentation; basic written skills for documents such as experimental reports; introduction to EEE degree programs. Analog Workshop: safety and basic skills; regulated power supply.

Public Speaking Fundamentals

SOPHOMORE(2nd Year)

FIRST SEMESTER

Calculus III

Vectors, solid analytic geometry, calculus of several variables.

Engineering Mechanics- Dynamics

Kinematics of particles; rectilinear motion of particles, curvilinear motion of particles. Newton’s Law, energy and momentum methods. Systems of particles. Kinematics of rigid bodies. Plane motion of rigid bodies; forces and acceleration, energy and momentum methods. Kinetics of rigid bodies in three dimensions. Mechanical vibrations.

Algorithms and Programming

Principles of general programming and strategies to create logic instruction sequences and algorithms using C++ as a programming language area studied.

Electronic Devices

Properties of semiconductor materials; doping technique; p-n junction; diode: forward and reverse biasing, VI static characteristics, small and large-signal models, junction capacitance and switching times, types and applications; bipolar junction transistors: construction, connections and biasing, applications, small signal models, ratings, and applications; field-effect transistors: construction, types, VI characteristics, ratings, and applications.

 

Technical Report Writing

SECOND SEMESTER

Probability and Statistics for Engineers

Introduction to data analysis, probability concepts, random variables, parameter estimation and hypothesis testing.

Strength of Materials

Simple (direct) stresses and strains. Thermal stresses and strains. Shear stress and strain. Torsion. Cylinders. Shearing force and bending moment. Bending stress. Plane stresses (compound stress and strain). Deflection of beams. Buckling. Springs.

Structured Programming

In this course the student will learn to use a programming language as a tool for the development of computer programs.

Digital Circuits
Operative principles of sequential logic circuits, operation of electronic logic gates used to construct networks that carry out diverse operations of combinational type, in complex network construction, such as counters, registers, format converters and elements for storage of binary data.
Finance and Accounting

Students are introduced to fundamental accounting concepts applicable to financial decision-making processes in order to fulfil fiscal requirements. Accounting principles applied t case solving in the labor field are also examined.

 

JUNIOR (3rd Year)

FIRST SEMESTER

Feedback Theory

Feedback system analysis. System modeling methods, performance specifications, construction, and use of root-locus, Bode plots, and Nyquist
diagrams. Continuous and Discrete systems are treated in parallel.

Thermodynamics & Heat Transfer

Introduction, principles of thermodynamics. Thermodynamics concepts and definitions. Properties of pure substances. Work and heat. First law of thermodynamics. Second law of thermodynamics. Heat transfer modes: conduction , convection and radiation. Basics of dimesional analyses

Introduction to Digital Systems

Introduces microprocessor-based systems, computer organization, programming concepts, bus control, input-output transfers, subroutines
and interrupts.

Actuators, Sensors and Interfacing

Mechatronics. Brief history. Building blocks of mechatronic products. Sensors. Classification of sensors. Proximity, angular displacement, rotational measurement sensors. Force and torque measurement sensors. Pressure sensors. Accelerometers. Gyros. Temperature and humidity
sensors. Light detection and CMOS imaging sensors. Actuators. Classification of actuators. Power amplification and modulation. Typical power amplifiers. Electrical machines. DC motors. Brushed and brushless DC motors. Piezoelectric actuators. Fluid systems and hydraulic actuators. Pneumatic actuators.

Integrated Manufacturing System

Students are introduced to the basic concepts on the performance of process engineer. Primary aspects of design, implementation and evolution, including their analysis on certain manufacture processes.

 

SECOND SEMESTER

Fluid Mechanics

Fluids-definitions & Physical properties. Fluids in steady state. Pressure changes, pressure Measurements. Fluid static force on submerged surfaces. Fluid flow. Equation of continuity. Dynamics of fluid flow. Basic equations of fluid flow: Energy equation, Bernoulli’s equation and moment of
momentum equation , Momentum equation. Flow through orifices and notches. Flow through pipes. Major and minor head losses in pipes.

Logic Design

Digital electronics, chip level design, algorithmic state machines, microprocessor architecture and interfacing, and digital system design methodology. Lecture and lab.

Automatic Control System Design
Techniques for feedback system design and analysis; compensation using root locus and frequency-domain methods; state-variable design methods; techniques for nonlinear systems analysis and design; sample-data control systems.

Introduction to Robotics

This course presents an overview of robotics in practice and research with topics including vision, motion planning, mobile mechanisms, kinematics, inverse kinematics, and sensors.

Digital Processing of Signals

Students will use tools that provide them with basic theory of information transmission, signals representation in terms of impulses, foundations of digital modulation and digital techniques of design in the evaluation and treatment of digital signal processing systems.

 

SENIOR (4th Year)

FIRST SEMESTER

Computer Process Control

Role of digital computer in process control; digital controller design; computer interfacing; transducers; programmable logic controllers;
process modeling; introduction to robotics.

Capstone Design I

Group design projects. Design methodology, project management, development of specifications, examination of alternatives, preparation of
proposal. Oral and written reports. Not for graduate credit.

Robot Vision

The course represents an introduction to the algorithms and mathematical analysis associated with the visual process. Topics include Binary Image Processing, Regions and Segmentation, Edge Detection, Photometric Stereo, Stereo and Calibration, Introduction to Dynamic Vision and Motion

 

Expert Systems

Knowledge Acquisition techniques, Knowledge representation, Analysis and Design of an ES, Reasoning strategies, Software tools and languages, Applications of ES, Validation and verification of ES.

 

Introduction to Micro-electromechanical Systems (MEMS)

Principles and engineering of micro-electromechanical systems. An introduction to materials and basic devices with examples of applications for sensing and actuation. Lectures will be complemented with laboratory experiments.

SECOND SEMESTER

Capstone Design II

Design prototyping, testing, evaluation and preparation of documentation. Lectures on ethics, professionalism, safety, economic consideration. Oral
and written reports.

Artificial Intelligence and Neural Networks

Neural versus conventional (serial) computing; the neural learning processes (supervised, unsupervised, reinforcement): the perception; the back propagation learning algorithm; self-organizing feature maps; case studies using computer simulation; AI roots and scope; knowledge representation; introduction to expert systems; problem solving in AI; case studies using computer simulation.

Robotic System

The robot like a mechanism, hard movements and homogenous transformations, direct and inverse kinematics, dynamic model, control of manipulators, industrial applications.

Fabrication and Testing of Micro-Electro-Mechanical Systems

To provide students with a strong background in fabrication, testing and characterization of MEMS. The main focus is to understand the fundamental challenges and limitations involved in developing and testing MEMS devices and systems.

Autotronics

The Course  provides you a depth understanding of electronic control systems and component in motor vehicle sub-systems. The student will gain an insight into motor vehicle mechanical systems and sub-systems, along with electrical and electronic principles and the component of motor vehicle sub-systems. Using state-of-the-art testing and diagnostic equipment the student will learn to find faults and diagnose automotive electronic problems, and develop a sound knowledge of engine management, fuel injection, electronics, transmission and ABS controls.

Area of Specialization

General Clases:   27 credits

• MATHEMATICS (12 credits)
• Calculus I
• Calculus II
• Calculus III
• Probability and Statistics
• PROFFESIONAL SKILL (8 credits)
• English Composition
• Public Speaking Fundamentals
• Technical Report Writing
• Finance and Accounting
• BASIC SCIENSE (7 credits)
• General Chemistry
• Physics I
• Physics II

Electives:   8 credits

• Robot Control  
• Robot Mechanics
• Computational Intelligence
• Image Process
• Programmable Logic Controllers  
• Control System Laboratory
• Renovable Energy
• Energy Conversion

CORE COURSES: 93 credits

• ROBOTICS (9 credits)
• Introduction to Robotics and Intelligent Systems
• Robot Vision
• Robotics System
• COMPUTER AND DIGITAL SYSTEMS (21 credits)
• Algorithms and Programming
• Structured Programming Digital
• Engineering Graphics
• Digital Circuits
• Introduction to Digital Systems
• Logic Design
• Digital Processing of Signals
• MEMS (18 credits)
• Electronic Devices
• Strength of Materials Actuators
• Sensors and Interfacing Integrated
• Manufacturing System
• Introduction to Mems
• Fabrication and Testing of Micro-Electro-Mechanical Systems
• CONTROL AND AUTOMATION (9 credits)
• Feedback Theory
• Automatic Control System Design
• Computer Process Control
• FLUID AND ENERGY ENGINEERING (6 credits)
• Heat Transfer & Thermodynamics
• Fluid Mechanics
• AUTOTRONICS (3 credits)
• Autotronics
• EXPERTS SYSTEM (6 credits)
• Expert Systems
• Artificial Intelligence and Neural Networks
• MECHANICS AND ELECTRONIC ENGINEERING ( 21 credits)
• Introduction to Mecatronics Engineering
• Electrical & Electronic Engineering I
• Engineering Mechanics – Statics
• Electrical & Electronic Engineering II
• Engineering Mechanics – Dynamics
• Capstone Design Project I
• Capstone Design Project II