• Application Deadline
  • 84 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Robotics - Vision Intelligence and Machine Learning Program in collaboration with University of Pennsylvania -PennX. Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.

About

How do robots “see”, respond to and learn from their interactions with the world around them? This is the fascinating field of visual intelligence and machine learning. Visual intelligence allows a robot to “sense” and “recognize” the surrounding environment. It also enables a robot to “learn” from the memory of past experiences by extracting patterns in visual signals.

You will understand how Machine Learning extracts statistically meaningful patterns in data that support classification, regression and clustering. Then by studying Computer Vision and Machine Learning together you will be able to build recognition algorithms that can learn from data and adapt to new environments.

By the end of this course, part of the Robotics MicroMasters program, you will be able to program vision capabilities for a robot such as robot localization as well as object recognition using machine learning.

What you'll learn:

  • The fundamentals of image filtering and tracking, and how to apply those principles to face detection, mosaicking and stabilization
  • How to use geometric transformations to determine 3D poses from 2D images for augmented reality tasks and visual odometry for robot localization
  • How to recognize objects and the basics of visual learning and neural networks for the purpose of classification

Projects in this course will utilize MATLAB and OpenCV and will include real examples of video stabilization, recognition of 3D objects, coding a classifier for objects, building a perceptron, and designing a convolutional neural network (CNN) using one of the standard CNN frameworks.

The Robotics - Vision Intelligence and Machine Learning course is part of the Robotics MicroMasters program from University of Pennsylvania - PennX

Detailed Programme Facts

  • Deadline and start date Application deadline and start date were not specified by the programme.
  • Programme intensity Part-time
    • Average part-time duration 84 days
    • Intensity 10 hrs/week
    • Part-time variant
      Flexible
    • Duration description
      12 weeks 8-10 hours per week
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

  • Camera Geometry and Color Sensing
  • Fourier Transforms, Image Convolution, Edge Detection
  • Image Convolution and Edge Detection Part 2, Image Pyramids
  • Feature Detection: Filters, SIFT, HOG
  • Geometrical Transformation, Affine, Protective and Ransac
  • Optical Flow Estimation
  • Image Morphing

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

  • College-level introductory linear algebra (vector spaces, linear systems, matrix decomposition)
  • College-level introductory calculus (partial derivatives, function gradients)
  • Basic knowledge of computer programming (variables, functions, control flow) is preferred, but students may also choose to learn it on their own. The class projects will be carried out MATLAB/Python, with C++ as an option.

Tuition Fee

  • International

    349 USD/full
    Tuition Fee
    Based on the original amount of 349 USD for the full programme and a duration of 84 days.
  • National

    349 USD/full
    Tuition Fee
    Based on the original amount of 349 USD for the full programme and a duration of 84 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
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Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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