Period: Spring semester
Deadline for application: 06/04/2026 (start date of the course)
Number of places: Unlimited
Credits: 4 ECTS
Adaptation for criss-cross students: none
Syllabus: Bioinformatics is an interdisciplinary field that uses information technology and computer science to study, analyse and extract useful knowledge from data collected across different areas of the life and health sciences. This and much more will be covered throughout the MOOC.
The digital revolution of recent years has made it possible to gather a vast amount of information from across the biosciences and health sciences. This has led bioinformatics to become one of the most rapidly emerging fields for studying, analysing, and extracting knowledge from such information by applying computational techniques. For example, these techniques open up new frontiers in biomedical engineering by enhancing our understanding of complex diseases such as cancer or neurodegenerative, and psychiatric disorders.
These advances may lead to the development of tools capable of automated diagnosis, enabling the delivery of personalised medical treatments that take into account each patient’s individual variability, lifestyle, and environment.
At the same time, they can accelerate and improve the development of new drugs and more effective vaccines. However, the sheer volume of information has grown so large that it is increasingly difficult to analyse with traditional technologies. This has fuelled the rise of AI and Machine Learning techniques, thanks to their ability to automatically extract useful knowledge, make predictions and support decision-making. In fact, the amount of information — commonly referred to as Big Data — is now so vast that special techniques are required to handle it.
This MOOC offers a practical and applied perspective on tasks related to Machine Learning and its main techniques.
The course is divided into eight modules and will feature contributions from more than ten lecturers, researchers, and specialists in different areas, aiming to provide easy and accessible learning, while maintaining full scientific rigour, on bioinformatics and Machine Learning, without requiring advanced programming knowledge (in Python).
The course will be delivered through the University of Granada’s AbiertaUGR platform, with direct links to Google Colaboratory, which will allow students’ activity to be tracked for subsequent assessment and recognition through badges.
To this end, the course will use audiovisual materials, interactive notebooks, complementary teaching resources, testimonies from leading experts, activities, and quizzes.
Direct support will also be available via the platform.
Through this MOOC, AbiertaUGR offers you the opportunity to explore one of the most promising and impactful fields of our time.
More info: https://abierta.ugr.es/course/view.php?id=97