An intensive entry level course to teach young African students and researchers the basics of computational neuroscience and machine learning

During this course, African students and researchers will receive a basic introduction to computational neuroscience and machine learning in order to have a solid foundation from which they can further expand their horizons. The topics covered will include neurobiology, systems neuroscience, biophysical neural models, recurrent neural networks, dynamical systems, linear algebra, machine learning methods for neural data analysis, Bayesian statistics, deep learning and reinforcement learning.

A fundamental objective of the course will be to build a strong network of young, bright and enthusiastic African scientists to promote these world-changing fields across the African continent. Our overarching goal is to plant the seeds of a highly skilled future scientific cohort, trained in the disciplines that are radically transforming the way we interact in our world, and which are expected to trigger a global economic revolution.

The course is targeted to master students and final year undergraduates in the natural sciences and engineering (eg. biology, neuroscience, chemistry, mathematics, physics, computer science, electrical engineering…). Highly motivated PhD students and young researchers who are interested in exploring this field will also be considered. Note that only African nationals can apply to the course. 

The course will be held at the University of Zambia, Lusaka, Zambia on July 7 – 23th, 2025,

Find out more and apply by January 31, 2025.