We would like to invite you to participate in the VI edition of the free online course, conducted in Spanish (also available fully in English) on “Machine Learning and Big Data for Bioinformatics,” organized by the University of Granada (UGR), which will begin on March 09, 2026. (enrollment open from February 9, 2026 until one week before the course ends, on 04/27/26)
- Title: Machine Learning and Big Data for Bioinformatics
- Website: https://abierta.ugr.es/ml_bioinformatica/
- Course Coordinator: Jesús Alcalá Fernández
- Registration Deadline: Open since 09/02/2026 (registration remains open until the course ends)
- Start Date: 09/03/2026
- End Date: 04/05/2026
- Duration: 100 hours (8 weeks)
- Modality: Asynchronous (learning without face-to-face classes and without fixed schedules through videos, materials, and didactic resources provided by the teaching team). Available in Spanish and English.
- Academic Recognition Certificate: Possibility of obtaining a certificate for completing the course.
- Awards Received: Award from the UGR Social Council for online training activities (https://consejosocial.ugr.es/informacion/noticias/fallo-premios-consejo-social-convocatoria-2022).
- Target Audience: Anyone can participate regardless of affiliation with the UGR.
The University of Granada aims to offer practical and applied learning accessible to all interested in Machine Learning and Big Data for Bioinformatics. For this purpose, it has a group of university professors, researchers, professionals, and specialists in each area, who will help introduce Bioinformatics and Machine Learning in their broadest aspects, combining academic rigor with a simple and direct methodology for understanding and enjoyment.
This online course (MOOC) has a duration of 100 hours (8 weeks + 1 additional week to finish any pending content) and is delivered in asynchronous mode (no need to attend classes at a set time) and offers 4 ECTS credits for students from any UGR degree program.
It is delivered through the UGR’s online open training platform (abiertaUGR) and consists of 8 modules:
- Module 1: What is Bioinformatics? Module Coordinators: Carlos Cano, Coral del Val, and Pedro Carmona
- Module 2: Bioinformatics Analysis on a Omics Problem. Module Coordinators: Carlos Cano, Coral del Val, and Pedro Carmona
- Module 3: Data Science and Machine Learning. Module Coordinator: Alberto Fernández Hilario
- Module 4: Supervised Learning: Regression Techniques. Module Coordinator: Rafael Alcalá Fernández
- Module 5: Supervised Learning: Classification Techniques. Module Coordinator: Alberto Fernández Hilario
- Module 6: Unsupervised Learning: Clustering and Association Rules. Module Coordinator: Jesús Alcalá Fernández
- Module 7: Big Data. Module Coordinator: Francisco Javier García Castellano
- Module 8: Graphic Tool: KNIME. Module Coordinators: María Martínez and José Manuel Soto
Educational materials of various types (notes, videos, etc.) and notebooks have been developed for these modules on the Google Colaboratory platform, where all necessary programs for the course are already installed, so you do not need to install anything on your computers.
Every Monday, all available material for the module to be covered that week will be added to the abiertaUGR platform. The temporal planning is designed to work on one module each week, but each student can make the temporal planning that best suits their needs, considering that the course lasts for 8 weeks plus 1 additional week provided by abiertaUGR for students to complete any pending work.
You can find more information through the abiertaUGR website: https://abierta.ugr.es/ml_bioinformatica/
