BIRCHAM INTERNATIONAL UNIVERSITY

Faculty of Engineering & Technology

MODULE: Robotics & Automation

Program delivered by distance learning higher education up to a maximum of 45 credits. This module may be combined or completed with other online university courses from this faculty.

DESCRIPTION:

Robots achieve their functionality by executing purposeful motions in the real world. This program will cover all the possibilities offered by robotics and automation, from the most current industrial robots that have to be pre-programmed in their task execution, to the intelligent robots that can be characterized by the ability to autonomously plan and execute motion sequences and to achieve a goal specified by a human user without detailed instructions. The program will also examine the different computational and technological architectures proposed for the implementation and evolution of robotic behavior.

Courses list (each subject accounts for 3 credits):

1 BIU Earned Credit = 1 USA Semester Credit (15 hours of learning) = 2 ECTS Credit (30 hours of study).

Machine Elements

Mechatronics

Academic Supervisor: Patrice Boisseau

More information about this supervisor and online university course instructors at BIU Human Network.

This module is applicable to Specialist, Expert, Bachelor's, Master's and Ph.D. (Doctor) Programs. This distance learning degree program is designed at the postgraduate level – Master’s or Doctoral. This module may be easily adapted to complete the Specialist, Expert or Bachelor’s adult degree program requirements. A further option is the enrollment into the online university courses listed in this module.

* University Course (3 credits): Select 1 subject from this module.

* Specialist Diploma (15 credits): First 5 subjects or select 5 subjects from this module.

* Expert Diploma (21 credits): First 7 subjects or select 7 subjects from this module.

* Bachelor's Degree (130 credits): The Admission certificate issued after submission of the application for admission will show the amount of credit transferred and validated from previous education and experience, and the amount of credits required to complete this undergraduate program's major. Additional courses from other modules of this faculty will be assigned in case that the credits displayed on this module are not enough to complete the bachelor's required credits.

* Master's Degree (35 credits): Select from 3 to 9 subjects from this module depending on the amount of credits transferred from previous education and experience. Add 13 credits corresponding to a final project to the selected subjects.

* Ph.D. (Doctor) (45 credits): Select from 3 to 9 subjects from this module depending on the amount of credits transferred from previous education and experience. Add 18 credits corresponding to a final thesis to the selected subjects.

BIU issues an admission certificate after receiving your complete application for admission. This document will show the amount of credits transferred and validated from previous education and experience, and the amount of credits required to complete the degree program's major. BIU can not perform this evaluation without the complete application for admission.

Courses Description (each subject accounts for 3 credits):

Machine Elements

This course deals with mechanical engineering design and materials, including significant theories of machine elements failure, stress analysis, material fatigue and machine elements duration, safety factors, elements connections, critical speed and mechanical balancing, deformations, power transmissions, sizings and lifecycle calculations.

Instructor: Luis Maria Lopez

Mechatronics

This course explores the design of mechatronic components and equipment, their construction and function. Mechatronic integrates the engineering aspects of electronics, mechanics and microelectronics into an effective problem solving approach for many technological applications and industrial process.

Instructor: Luis Maria Lopez

Robotics & Automation

This course introduces the history and use of robots in industry. It examines robotics and automation configurations and hardware including the principles of path control, motion sensing, speed and position control, and servo-actuators. It reviews various types of robot controllers ranging from stop-to-stop automation to servo-controlled robots that use high-level control languages.

Instructor: Patrice Boisseau

Hydraulics & Pneumatics

This course presents industrial hydraulics and pneumatics, its system components, the design of hydraulic and pneumatic circuits, and its role in computer, robotics and electro-mechanical devices.

Instructor: Luis Maria Lopez

Computer & Human Interaction

This course considers human and computer interaction focusing on questions and tools for building interface applications with mutual reasoning and solving capability. It explains and applies the major mechanisms for control of complexity in large programming and computer systems. It analyzes computational systems to generate computational solutions to abstract problems.

Instructor: Jose A. Cordova

Computer Vision & Recognition

This course explains how computer vision systems can detect, track and recognize people and other objects that will enable new perceptual interfaces between man and machine. It surveys the algorithms, image processing, pattern recognition and techniques involved in computer vision-based perception.

Instructor: Patrice Boisseau

Computer Interaction & Learning

This course reviews many techniques and algorithms in machine learning, beginning with simple perceptions and ending up with more recent topics such as Markov models, and Bayesian networks. It provides the ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how and why they work.

Instructor: Patrice Boisseau

Data Communications

This course covers the main concepts and components of data communications, and in particular it covers modern communication standards, protocol systems and their implementation, and transmission technology. It also examines the principles of complex networks: Open System Interconnection (OSI), Wide Area Networks (WANs), and Local Area Networks (LANs).

Instructor: Patrice Boisseau

Manufacturing Systems Integration

This course explains the need for the integration of manufacturing systems, and deals with the multitude of practical problems involved with it. Engineering details covered include the types of communication links available between systems, communication standards, and hardware platform alternatives. Management concepts covered include the top-down design/bottom-up implementation approach to system integration, long-range planning and management of integration projects, security issues, and human factors.

Instructor: Earle Taylor

Computer Integrated Manufacturing

This course explores manufacturing principles, metal cutting technology, and forms and methods of computer integrated manufacturing. It explains the planning, combination and design of machines, robots and control systems for handling equipment and manufacturing, and the integration of information and material flow in manufacturing to develop a successful computer integrated manufacturing strategy.

Instructor: Patrice Boisseau

Feed Back Control System

This course studies the design of digital control systems. It shows the operating principles and conventions for Programmable Logic Controllers (PLCs) using algorithms and Boolean (bit) logic to control systems containing digital sensors and actuators. It explains how to monitor and control analog processes and to exchange data with other PLCs and computers.

Instructor: Luis Maria Lopez

Motion Planning, Sensing & Control

This course examines the computational issues involved in robot motion planning, sensing, and control,including representation and handling of uncertainty for motion planning/sensing/control, computational complexity of different motion planning problems, sensor-based motion planning and control, active vision, and robot learning.

Instructor: Patrice Boisseau

Microprocessors

This course studies the connection and operation of the components of microprocessors and interfaces. It examines the physical principles, design, and microfabrication technologies pertinent to input (sensor) and output (actuator) devices for multimedia, data process, interfaces and micro-electro-mechanical systems.

Instructor: Higinio Menendez Milanes

Automation Management

This course is an evolutionary process perspective on technology strategy, automation and innovation. It covers managing innovation, technology life cycles, forecasting, and managing R&D, personnel and projects, to emerge with the knowledge of how to integrate technology and automation to further develop the firm's technological competencies and capabilities. It also covers current methods, tooling and associated equipment that is used for automated processes in industry today.

Instructor: Earle Taylor

Intelligent Robots

This course explores the world of intelligent robots. Intelligent robots can be characterized by the ability to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. This is in contrast to most current industrial robots that have to be pre-programmed with very little adaptability in their task execution. Intelligent robots can also be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing, for example, computer vision.

Instructor: Patrice Boisseau

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Professionally recognized and validated degrees.

Accredited (Non USA CHEA). International legalization available.

Non formal and independent education.