Archive for the ‘Robotics’ Category

The Robotics Engineering Program strives to educate students to

  • Have a basic understanding of the fundamentals of Computer Science, Electrical and Computer Engineering, Mechanical Engineering, and Systems Engineering.
  • Apply these abstract concepts and practical skills to design and construct robots and robotic systems for diverse applications.
  • Have the imagination to see how robotics can be used to improve society and the entrepreneurial background and spirit to make their ideas become reality.
  • Demonstrate the ethical behavior and standards expected of responsible professionals functioning in a diverse society.

BACHELORS in Robotics

  1. Automation and control
  2. Information science and computer engineering
  3. Management and Informatics in Technical Systems
  4. Information technology in management
  5. Computers, complexes, systems and networks
  6. The technology of software development
  7. Mechatronics
  8. Autonomous robots

MASTERS in Robotics

  1. Elements and devices of computer engineering and information systems
  2. Control in engineering systems
  3. Automation of technological processes and productions
  4. Computer networks and telecommunications
  5. Computer modeling
  6. Integrated production control system
  7. Management and Informatics in Technical Systems
  8. Computer networks and telecommunications
  9. Technology development of software systems
  10. Mechatronics
  11. Robotics

Bachelor Course includes

  • Introduction to Electrical Signals and Systems
  • Electronic Circuits
  • Introduction to Logic Design (also COS 306)
  • Engineering Sciences Laboratory
  • Experimental Physics Seminar

Control Systems

  • Process Control
  • Robotics and Intelligent Systems
  • Automatic Control Systems
  • Modern Control

Cognition, Language, and Decision-Making

  • Learning Theory and Epistemology
  • Cognitive Psychology
  • Fundamentals of Neuroscience
  • Introduction to Cognitive Neuroscience
  • The Psychology of Decision Making and Judgment
  • Introduction to Connectionist Models


Option One

  • Structural Dynamics and Earthquake Engineering
  • Risk Assessment and Management
  • Hydrometeorology and Remote Sensing

Option Two

  • Design, Synthesis, and Optimization of Chemical Processes
  • Introduction to Nonlinear Dynamics

Computer Science

Course One

  • Introduction to Programming Systems
  • Computing for the Physical and Social Sciences
  • Transforming Reality By Computer (also MUS 315)
  • Reasoning about Computation
  • Artificial Intelligence
  • Computer Graphics
  • Computer Vision
  • Human-Computer Interface Technology (also ELE 369)
  • Computational Geometry
  • Computer Networks
  • Theory of Computation (MAT 487)
  • Autonomous Robot Navigation

Course Two

  • Circuits and Signal Processing
  • System Design and Analysis
  • Networks, Friends, Money, and Bytes

Course Three

  • Image Processing and Transmission

Computational Linguistics

  • Phonetics & Phonology
  • Linguistic Semantics (also PHI 345)
  • The Structure & Meaning of Words
  • Linguistic Universals and Language Diversity
  • Advanced Syntax

Introduction to Engineering Dynamics

  • Engineering Design
  • Mechanical Design
  • Aircraft Flight Dynamics
  • Aircraft Design
  • Space Flight
  • Space System Design
  • Microprocessors for Measurement and Control


Course One

  • Cellular and Systems Neuroscience
  • Introduction to Biological Dynamics

Course Two

  • Computational Neuroscience

Fundamentals of Engineering Statistics

  • Elements of Interactive Computer Graphics
  • Optimization (also EGR 307)
  • Probability and Stochastic Systems
  • Optimization under Uncertainty
  • Regression and Applied Time Series
  • Statistical Design of Experiments
  • Operations and Information Engineering
  • Transportation


Course One

  • Introductory Logic
  • Intermediate Logic
  • Philosophy of Language
  • Philosophy of the Cognitive Sciences
  • Philosophical Logic

Course Two

  • Memory and Cognition
  • Psychology of Thinking
  • Rationality and Human Reasoning

Robotics Masters Program

Core courses of Masters in Robotics cover the following fields:

  • Robotics and Animation
  • Control Systems Design
  • Computer Vision
  • Machine Learning

Electives of Masters in Robotics include:

  • Learning in Robotics
  • Vision and Learning
  • Hybrid Systems
  • Motion Planning
  • Mechatronics
  • Biomechanics
  • Mobile Robot Design
  • Mobile Robot Programming
  • Advanced Mobile Robot Development

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