The University of Granada is committed to providing accessible and practical learning opportunities in Machine Learning and Big Data for Bioinformatics. They have assembled a team of university professors, researchers, professionals, and specialists in each field to achieve this goal. The aim is to introduce Bioinformatics and Machine Learning in their entirety, blending academic rigour with a straightforward and engaging methodology for easy comprehension and enjoyment.
This online course (MOOC) spans 100 hours (8 weeks + 1 additional week for completing any pending content) and operates on an asynchronous basis (no requirement to attend classes at specified times). It awards 4 ECTS credits, accessible to students enrolled in any degree programme at UGR.
The MOOC is conducted via the UGR’s online open training platform (AbiertaUGR) and comprises 8 modules:
Module 1: What is Bioinformatics? Module Coordinators: Carlos Cano, Coral del Val and Pedro Carmona.
Module 2: Bioinformatics Analysis on an 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 diverse formats (including notes, videos, etc.) and notebooks have been developed for these modules on the Google Colaboratory platform. All requisite programs for the course are pre-installed, eliminating the need for any additional installations on your computers.
Every Monday, all available materials for the module scheduled for that week will be uploaded to the AbiertaUGR platform. The course schedule is structured for one module per week, yet each student has the flexibility to tailor their schedule according to their needs. It’s important to note that the course spans 8 weeks, with an additional week provided by AbiertaUGR to accommodate the completion of any outstanding tasks.
The application process opens on 11th April via the following link and will remain open until the course starts.
For more information, please visit the AbiertaUGR website.
