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Master's Final Project

  The Master’s Final Project assignment process, passed by the Master in Artificial Intelligence Academic Committee (CAMIA) at its ninth ordinary meeting on 15/12/2011 is as follows: Next, the research groups are listed and a link to their web pages is provided, and a presentation for each of them is given, the projects they are involved in and other general information.

In attention to the uniqueness of the MFP, in case the student has not been able to overcome it in an academic year, the prices to be paid in the following academic year will be those corresponding to 25% of the price in the first registration of the Decree of Public Prices, which will entitle the student to a single examination session without prejudice to the rest of the rights acquired when enrolling in said subject.

Once the payment be completed, please email to the Administrative management secretariat ( the following: Note: Students that are not enrolled for any Master in Artificial Intelligence subject lose their official status as students of the UPM and are not eligible for official or unofficial grants, mobility assistance…  The members of the evaluation panel (and the student) will establish the date and time of the MFP defense, not being necessary to notify it to the ETSI-INF secretariat.

The student must upload the MFP in electronic form (pdf file) to the moodle platform, in the subject Master Final Project, as well as send it to the members of the evaluation panel, 7 calendar days prior to the act of the defense.

MFP with honors will be granted in a meeting to be held on September. The MFPs defended by students who complete the Master's Degree in a single academic year have priority over those defended in any subsequent call. If the number of proposals for MFP with honors is greater than the number to grant depending on the number of enrolled students (in accordance with the Royal Decree 1125/2003), the following recommendations will be taken into account:  

Here's What It's Like to Teach Artificial Intelligence to High Schoolers

Many high schools are still struggling to offer computer science, much less instruction in cutting-edge systems that are designed to take in massive amounts of data and mimick the human brain by making predictions, finding patterns, and more.  One of a handful of exceptions: Whitney High School in Cerrittos, Calif., part of Los Angeles County, which for the first-time last school year offered a course titled 'Computer Programming for Solving Applied Problems Using Artificial Intelligence Honors.'

(Other districts, though, are experimenting with teaching AI, including this one.) Fifteen students signed up for Johnson's course, including 10 boys and 5 girls.

Johnson, who worked in the tech industry before becoming an educator, initially considered teaching his kids how to program in AI applications with software that's in vogue in Silicon Valley at the moment: Google's TensorFlow.

They also worked on concepts like the architecture of the brain which is relevant for the development of so-called neural networks, which are basically voluminous interconnected processing nodes used to help computers learn how to perform new tasks') and sorting and algorithmic design, and more.

How successful was the program?  'I don't think Drake should be worried,' Johnson said.  Here were three big takeaways from his first year: Be Ready to Help High-flying Students Learn to Fail Johnson is used to teaching physics and computer science, but even he was surprised by the differences in skill between the students who seemed to immediately grasp the high-level AI programming concepts he was teaching and those who flailed.

He's also hoping students can get credit from the local community college for his class, down the line.  High School Kids Can Do AI There's nothing magic about being in your 20s that prepares you to study programming in AI applications Johnson said.