Robots achieve their functionality by executing purposeful actions in the real world. This program covers all the possibilities offered by robotics and automation, from current industrial robots that have to be pre-programmed to execute their tasks to sophisticated intelligent robots that accomplish their work and set objectives autonomously and without detailed instructions. The program also examines the different computational and technological techniques used in the formation of robots and their evolution.
We also offer this program as a bachelor's or Ph.D.
Robotics & Automation Online via distance learning
This module is applicable to Specialist, Expert, Bachelor's, Master's & Ph.D. (Doctor) Degree Programs. This academic program is designed at the postgraduate level (Master’s or Doctoral). This module may also be adapted to complete the course requirements of Specialist, Expert Diploma, or Bachelor’s Degree. A further option is an enrollment into each of the courses listed within this specialization module. This module may be combined or completed with other modules from this faculty. For example: Industrial Engineering - Industrial Production - Logistics - Maintenance Engineering Management - Occupational Safety & Health - Operations Management - Petroleum & Natural Gas Production - Process Instrumentation Technology - Project Engineering Management - R & D Research & Development - Total Quality Management.
Method of instruction: Distance Learning Higher Education
This distance learning education program is completed by a traditional correspondence instruction method. Once you sign up for the course, Bircham International University will send you (to your mailing address) the suggested textbooks. After reading the book, you will be asked to write a 20 to 35 pages report that reflects your understanding of the book. This report is equivalent to the exam and can be submitted by email or mail. Bircham International University will evaluate your written work. If passed, BIU will issue the corresponding diploma. For more instructions about BIU pedagogy, tutoring, and evaluation, please read our distance learning education study guide.
Students enrolling in this distance education program should be aware that:
Location: Bircham International University needs a functional geographical location to ship the book and materials for successful completion of this program of study.
Communication: Email, courier, phone are key communication instruments with Bircham University that play an important role in the progress and support of this program of study.
Capacity: Any impediment, physical or psychological, to read a book and write a report must be communicated to Bircham International University prior to enrollment into this distance learning program.
Technology: No specific technology is required to complete this distance education program.
Language: Book reading and report writing in another language other than English must be requested (and approved by BIU) prior to enrollment in any distance learning program.
Discrimination: There is no discrimination with respect to race, color, gender, beliefs, or religion.
Age: Check the admission requirements for each distance education degree program.
Duration - Robotics & Automation Online via distance learning
For a program of 21 credits, the estimated time for completion is 21 weeks. For 45 credits, the estimated time for completion will be 45 weeks, and so on. Calculations are approximate. The length of each distance learning degree program is calculated based on an average of 15 hours of learning per week. It also depends on the number of validated credits from previous knowledge and the level of commitment to the studies.
Master's Degree - Robotics & Automation Online
Tuition Fee: Min. 4.680 Euros (6.120 US$) | Max. 7.020 Euros (9.180 US$).
Master's Degree Online: 36 - 54 Academic credits required for this distance learning degree program.
Composition: Robotics & Automation via distance learning = 45 Academic credits + Additional courses may be selected from other modules in the Faculty of Engineering & Technology from Bircham International University if required. This selection must be approved by the Distance Learning University Education Board. For example Artificial Intelligence. + 13 Academic credits (Research methodology and final project or thesis).
Courses list (each subject accounts for 3 academic credits):
1 BIU Earned Credit = 1 USA Semester Credit (15 hours of learning) = 2 ECTS Credits (30 hours of study).
You may study any subject as an independent online continuing education course.
Computer & Human Interaction
This course considers human and computer interaction and focuses on questions and tools for building interface applications with mutual reasoning and solving capability. It explores the principles and applications of major mechanisms to control complexity in large programming and computer systems. It analyzes how computational systems generate computational solutions to abstract problems.
Academic Supervisor: Ahmad Khodaverdi DarianData Communications
This course covers the main concepts and components of data communications particularly 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).
Academic Supervisor: Javier Fernandez SalgadoMachine 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, sizing, and lifecycle calculations.
Academic Supervisor: Higinio Menendez MilanesHydraulics & 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.
Academic Supervisor: Higinio Menendez MilanesComputer 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, as well as pattern recognition, and techniques involved in computer vision-based perception.
Academic Supervisor: Kenneth K. PembamotoComputer Interaction & Learning
This course reviews many techniques and algorithms in machine learning from simple perceptions to cutting-edge topics such as Markov models and Bayesian networks. It provides the ideas and intuition underlying the modern machine learning methods and a slight formal understanding of how and why they work.
Academic Supervisor: Abdo Miled Abou JaoudeManufacturing Systems Integration
This course explains the need for the integration of manufacturing systems and deals with the multitude of their practical problems. The engineering details covered include the types of communication links available between systems, communication standards, and hardware platform alternatives. The management concepts discussed are namely the top-down design/bottom-up implementation approach to system integration, long-range planning and management of integration projects, security issues, and human factors.
Academic Supervisor: Wolf DettmerMechatronics
This course explores the design of mechatronic components and equipment, their construction, and their function. Mechatronic integrates the engineering aspects of electronics, mechanics, and microelectronics into an effective problem-solving approach for many technological applications and industrial processes.
Academic Supervisor: José Luis Díaz PalenciaFeed Back Control System
This course studies the design of digital control systems. It presents 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.
Academic Supervisor: Higinio Menendez MilanesMotion 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, the computational complexity of different motion planning problems, sensor-based motion planning and control, active vision, and robot learning.
Academic Supervisor: Higinio Menendez MilanesMicroprocessors
This course studies the connection and operation of microprocessors' components 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.
Academic Supervisor: Kenneth K. PembamotoAutomation Management
This course presents 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. It teaches how to integrate technology and automation to further develop a firm's technological competencies and capabilities. It also covers current methods, tools, and associated equipment used for current industrial automated processes.
Academic Supervisor: Higinio Menendez MilanesComputer 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.
Academic Supervisor: Wolf DettmerRobotics & Automation
This course introduces the history and use of robots in the industry. It examines topics related to robotics, automation configurations, and hardware such as 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.
Academic Supervisor: Higinio Menendez MilanesIntelligent Robots
This course explores the world of intelligent robots. Intelligent robots are characterized by their 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 their ability to operate in an uncertain and changing environment with the help of appropriate sensing, such as computer vision.
Academic Supervisor: Abdo Miled Abou Jaoude
Admission requirements - Robotics & Automation
For official admission status at Bircham distance education university; you need to send in a filled out, dated, and signed official Application for Admission. You may download this application form from the website or request it by email or mail. Please send this application and enclosed documents to our address. You may also submit this application and attached documents by email in a PDF Format.
Bircham International University issues an admission certificate after receiving your complete application for admission. This document will show the number of credits transferred and validated from previous education and experience, and the number of credits required to complete the distance learning degree program's major. Bircham University can not perform this evaluation without the complete application for admission.