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Courses

The masters and doctoral PGEA students have available the graduate courses listed below. The list of offered courses for each semester is available here.

Common Core Courses

  • Stochastic Estimation and Filtering (4 credits)
  • Electronic Instrumentation and Measurement (4 credits)
  • Signal Processing (4 credits)
  • Stochastic Processes (4 credits)
  • Embedded Systems (4 credits)
  • Intelligent Systems (4 credits)
  • Linear Systems (4 credits)
  • Queueing Theory (4 credits)
  • Human Physiology for Engineers (4 credits)
  • Oriented Studies 1 (2 credits)
  • Oriented Studies 2 (2 credits)
  • Oriented Studies 3 (4 credits)
  • Preparation of Final Work
  • 366285 - Teaching Internship in Electrical Engineering I - (CR - 02)
  • 366315 - Teaching Internship in Electrical Engineering II - (CR - 02)
  • 366323 - Teaching Internship in Electrical Engineering III - (CR - 02)
  • Introduction to Stochastic Processes
  • Introduction to Intelligent Systems
  • Communication Networks Technologies

Courses in the Microelectronics field

  • Organic Electronics (4 credits)
  • Photonics (4 credits)
  • Nanoelectronics (4 credits)
  • Integrated Circuits of Specific Application's Project (4 credits)
  • Topics in Microelectronics (4 credits)
  • Electronic Devices

Courses in the Biomedical Engineering field

  • Biomedical Instrumentation (4 credits)
  • Medical Images
  • Processing and Instrumentation in Biomechanics (4 credits)
  • Topics in Biomedical Instrumentation (4 credits)
  • 366366 - Special Topics in Biomedical Engineering

Courses in the Signal Processing field

  • Digital Signal Coding (4 credits)
  • Signal Compression (4 credits)
  • Image Processing (4 credits)
  • Signal Processing in Multiple Sampling Rates (4 credits)
  • Topics in Signal Processing (4 credits)
  • 363162 - Topics in Digital Filters

Courses in the Control and Automation field

  • Theory of Linear Systems 1 (4 credits)
  • Optimal Control (4 credits)
  • Topics in Control and Automation (4 credits)
  • Hybrid Dynamical Systems (4 credits)
  • SystemsModeling and Identification (4 credits)
  • Nonlinear Control (4 credits)
  • Introduction to Mobile Robotics (4 credits)
  • Discrete Event Systems (4 credits)
  • Industrial Automation Technology (4 credits)
  • Robust Control
  • Optimization
  • 366111 - Fundamentals of Robotics
  • 363685 - Computer Networks