EE/CS Courses: Statistics and Probability Theory - Signal Processing, Dynamic System Modeling - Large-Scale Modeling and Large-Scale Data Analysis - Machine Learning - Deep Learning - Physics-Informed Machine Learning - Neuro-inspired Systems Engineering - Scientific Programming and Dynamical Modelling in Julia - Mathematical Methods for Imaging and Visualization - Mixed Signal Electronics in Neuroengineering.

Neuroscience Courses: Neuro-Anatomy and Neuro-Physiology - Computational Neuroscience - Cognitive Neuroscience - Brain, Mind and Cognition - Neuro-Recording Methods - Computational Neuroscience: A Lecture Series from Models to Applications.

Others: Literature Seminar, Scientific Debating, Colloquium - Societal Impacts and Ethics - International Neuroengineering Symposium.