Abstract:

In this work, we have carried out an analysis of the teaching methodology used in the Artificial Vision and Robotics (AVR) course of the Computer Science degree (University of Alicante). We propose a teaching methodology based on the development of hands-on laboratories that simulate real scenarios and problems, which have to be solved using tools and libraries such as OpenCV, Pointcloud library (PCL), Robotics Operating System (ROS), etcetera. These tools are currently used in large companies and emerging startups working in that field of research. In addition, it analyses the current influence of this type of last-year courses, which also have a very high research component, with the incorporation of students into related PhD programs. To this end, a user study has been designed and carried out with different students who have taken the subject during the current academic year (2016/2017) and previous years. Finally, we have analyzed the relationship that currently exists between the training of students in the area of artificial vision and robotics, with the interest in taking related Massive Open Online Courses (MOOC) such as Coursera or Udacity. Preliminary results showed that students are generally satisfied with the teaching methodology, although some have expressed an interest in more in-depth training in deep learning and machine learning techniques. We have also notice that students have interest in pursuing a master's degree or postgraduate studies related to the use of machine learning techniques and deep learning. There has also been great interest in computer vision algorithms.

Keywords:

Lifelong Learning, Massive Open Online Courses, Real Scenarios, Robotics, Computer Vision, Teaching.