Courses in the Study Plan

Explore the variety of courses offered in the Neuro-X Master’s program

Core Courses (31 ECTS)

Course	Code	Semester	Credits
Brain-like computation and intelligence	NX-414	Spring	5
Computational neuroscience: neuronal dynamics	NX-465	Spring	5
Machine learning	CS-433	Fall	8
Neural interfaces	NX-422	Fall	6
Neural signals and signal processing	NX-421	Fall	6
Neuroscience: behavior and cognition	BIO-483	Spring	5
Neuroscience: cellular and circuit mechanisms	BIO-482	Fall	5
Neuroscience: from molecular mechanisms to disease	BIO-480	Fall	5
Translational neuroengineering	NX-423	Spring	6

Options (30 ECTS)

Area: Technology

Course	Code	Semester	Credits
Analog IC design	EE-320	Fall	3
Basics of robotics for manipulation	MICRO-450	Fall	3
Bioelectronics and biomedical microelectronics	EE-519	Fall	3
Bio-nano-chip design	EE-517	Fall	4
Computational motor control	CS-432	Spring	4
Controlling behavior in animals and robots	BIOENG-456	Spring	5
Design technologies for integrated systems	CS-472	Fall	6
Fundamentals of biosensors and electronic biochips	EE-515	Fall	3
Haptic human robot interfaces	MICRO-553	Spring	4
Nanotechnology	MICRO-530	Spring	3
Organic and printed electronics	MICRO-505	Spring	2
Sensors in medical instrumentation	EE-511	Spring	3
Sustainability and materials	MSE-341	Spring	3
Virtual reality	CS-444	Spring	6

Area: Data Science and Machine Learning

Course	Code	Semester	Credits
Applied biostatistics	MATH-493	Spring	5
Applied data analysis	CS-401	Fall	8
Applied probability and stochastic processes	MGT-484	Fall	4
Causal thinking	MATH-352	Fall	5
Deep learning	EE-559	Spring	4
Deep learning in biomedicine	CS-502	Spring	6
Deep reinforcement learning	CS-456	Spring	6
Dynamical system theory for engineers	COM-502	Spring	6
Introduction to natural language processing	CS-431	Fall	6
Learning in neural networks	CS-479	Spring	6
Machine learning I	MICRO-455	Fall	4
Machine learning for behavioral data	CS-421	Spring	6
Mathematics of data: from theory to computation	EE-556	Fall	6
Optimization for machine learning	CS-439	Spring	8
Understanding statistics and experimental design	BIO-449	Fall	4
Visual intelligence: machines and minds	CS-503	Spring	6

Area: Imaging and Image Analysis

Course	Code	Semester	Credits
Advanced computer graphics	CS-440	Spring	6
Biomedical optics	BIOENG-445	Fall	3
Biomicroscopy I	MICRO-561	Fall	4
Biomicroscopy II	MICRO-562	Spring	4
Computer vision	CS-442	Spring	6
Fundamentals of biomedical imaging	PHYS-438	Spring	4
Fundamentals of biophotonics	BIO-443	Spring	3
Image analysis and pattern recognition	EE-451	Spring	4
Image Processing I	MICRO-511	Fall	3
Image Processing II	MICRO-512	Spring	3
MRI Practicals on CIBM preclinical imaging systems	PHYS-473	Fall	3

Area: Neuro-Exploration

Course	Code	Semester	Credits
Advanced methods for human neuromodulation	NX-436	Fall	4
Computational neurosciences: biophysics	NX-450	Fall	5
Ethics and law of AI	DH-415	Fall	4
Neural circuits of motivated behaviors	BIO-499	Spring	4
Scientific literature analysis in neuroscience	BIOENG-451	Fall	4
Scientific project design in integrative neurosciences	BIO-493	Fall	4
Systems neuroscience	NX-435	Spring	4

Area: Medtech Industry Skills

Course	Code	Semester	Credits
Design in innovation: creation for adoption	MGT-406	Spring	4
Regulatory, quality and clinical affairs	NX-451	Spring	2

Download Full Study Plan (PDF)