Meet our instructor

L. Enrique Sucar has a Ph.D. in Computing from Imperial College, London, 1992; a M.Sc. in Electrical Engineering from Stanford University, USA, 1982; and a B.Sc. in Electronics and Communications Engineering from ITESM, Mexico, 1980. He has been a researcher at the Electrical Research Institute, a professor at ITESM, and is currently Senior Research Scientist at the National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico. He has been an invited professor at the University of British Columbia, Canada; Imperial College, London; INRIA, France; and CREATE-NET, Italy. 

He has more than 400 publications and has directed nearly 100 Ph.D. and M.Sc. thesis. Dr. Sucar received the National Science Prize from the Mexican President; is Member Emeritus of the National Research System, Life Senior Member of IEEE, and member of the Mexican Science Academy. He is associate editor of the Pattern Recognition, Computational Intelligence and Frontiers in Rehabilitation journals, and has served as president of the Mexican AI Society and the Mexican Academy of Computing. His main research interests are in probabilistic graphical models, causal reasoning and their applications in robotics, computer vision and biomedicine.

Probabilistic graphical models have become a powerful set of techniques used in several domains. This course provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It covers the fundamentals of the main classes of PGMs: Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, Markov decision processes and partially observable Markov decision processes; including representation, inference and learning principles for each one. It describes several extensions of PGMs: relational probabilistic models, causal models, and hybrid models. Realistic applications for each type of model are covered in this course. 

The course includes several excercises at the end of each chapter which are automatically graded, providing explanations for common mistakes. There are also 5 practical programming projects, related to some of the techniques cover in the course.

You can access the course for free and see all the content: videos, activities, and exercises. To do this, you must complete the self-registration process.

Note. Should you require the certificate with curricular value, you must: 

● Have finished all activities within the course.

● Have done all five evaluation projects and passed at least t

hree.

To access the projects you must:

1.     Fill in the request form.

2.    Complete the payment and send your receipt. Once the payment has been verified, you will receive an email confirmation granting you access to the projects.

Once you turn in your projects onto the platform, the instructor will send feedback and, should your results be satisfactory, you will receive your certificate with curricular value.

1. Go to the following link to the self-registration, https://inneford.inaoep.mx  

2. Download the guide for the self-registration process drive.google.com/file/d/1K6LvwOiuwCPMgbB7pseFn8hp8nCGvVuD/view?usp=drive_link 

Information about academic aspects of the course : 

Dr. Enrique Sucar Succar esucar@inaoep.mx 

Administration

Miriam Verónica Cuevas Cortes   mvcuevas@inaoe.mx  

María de Jesús Cuautle Robles mcuautle@inaoe.mx 

Technical support

Caroleny Villalba Hernández soporte.inneford@inaoe.mx

David Méndez Munive formaciondocente@inaoe.mx