Course curriculum

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The Master’s Program in Neuroengineering from the Santos Dumont Institute has mandatory and optative subjects in it’s curriculum, that aim to form professionals who are capable of navigating thorough the areas of engineering and neurosciences. The curricular structure was ideated to transpose the barriers that exist in the undergraduate programs in applied sciences, biomedical sciences and human sciences. All subjecs and respective programs are avaliable at the Sucupira platform, in portuguese (to access, please select “Instituição de Ensino Superior: 33280010 – Instituto de Ensino e Pesquisa Alberto Santos Dumont/ Programa: Neuroengenharia – 33280010001P2“)

 

Mandatory subjects

Transduction and Processing of Biological Signals

Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)

Neuroanatomy

Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester)

Neurophysiology

Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester).

Fundamentals of Programming and Project Development applied to Neuroengineering

Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)

Optative subjects

Brain-Machine Interface

Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester)

Neuromodulation

Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)

Education for Global Citzenship

Hours: 60 hours
Total Credits: 4

Bioethics

Hours: 30 hours
Total Credits: 2
Offer: Biannual (1st semester)

Biostatistics

Hours: 45 hours
Total Credits: 3
Offer: Annual (1st semester)

Cognition

Hours: 30 hours
Total Credits: 2
Offer: Biannual (2nd semester)

Didactics and Scientific Methodology

Hours: 45 hours
Total Credits: 3
Offer: Annual (2nd semester)

Fundamentals of Neuroimmunology applied to Neuroengineering

Hours: 45 hours
Total Credits: 3
Offer: Annual (2nd semester)

Innovation in Assistive Technology

Hours: 30 hours
Total Credits: 2
Offer: Biannual (2nd semester)

Biosecurity

Hours: 30h Total
Credits: 2
Offer: Semestral

Topics in Neuroscience and Neuroengineering

Hours: 30h Total
Credits: 2
Offer: Semestral

Introduction to Machine Learning
Hours: 45 hours
Total Credits: 3
Offer: Biannual (1st semester)

Entrepreneurship and Innovation

Hours: 30 h
Credits: 2

Analysis of histological images

Hours: 30 h
Credits: 2


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