Courses - Fall 2026
NACS
Neuroscience & Cognitive Science
NACS608
Neuroscience and Cognitive Science Seminar
Credits:
1
Grad Meth:
Reg
NACS640
Foundational Readings Seminar
Credits:
2
Grad Meth:
Reg
Restriction: Permission of instructor; and must be in Neurosciences and Cognitive Sciences (Doctoral) program.
Credit only granted for: NACS640 or NACS728R.
Formerly: NACS728R.
An introduction to the breadth of research in Neuroscience and Cognitive Science. Faculty will present papers to provide historical context and introduction to important issues in the fields of their research.
NACS641
Introduction to Neurosciences
Credits:
4
Grad Meth:
Reg, Aud
Restriction: Permission of instructor.
Detailed examination of neurophysiology and sensorimotor systems.
NACS645
Cognitive Science
Credits:
4
Grad Meth:
Reg, Aud
Credit only granted for: NACS645 or NACS728Y.
Formerly: NACS728Y.
A study of mental representations and computations. Issues examined include computation, representations, decisions, modularity, evolution, innateness, and reductionism.
NACS728B
Selected Topics in Neuroscience and Cognitive Science; Quantitative Analysis of Biological Data
Credits:
4
Grad Meth:
Reg, Aud, S-F
NACS728E
Selected Topics in Neuroscience and Cognitive Science; Advanced Systems Neuroscience
Credits:
3
Grad Meth:
Reg, Aud, S-F
NACS728I
Selected Topics in Neuroscience and Cognitive Science; Neurobiology of Extraordinary Senses
Credits:
3
Grad Meth:
Reg, Aud, S-F
NACS728M
Selected Topics in Neuroscience and Cognitive Science; Grant Writing
Credits:
2
Grad Meth:
Reg, Aud
Instruction in grant-writing skill, introduction to resources, discussions on how to make your grant competitive, and insight into the review process. The goal will be to have each participant submit an NRSA.
NACS728X
Selected Topics in Neuroscience and Cognitive Science; Development of the Social Brain
Credits:
3
Grad Meth:
Reg, Aud, S-F
Cross-listed with PSYC798R. Credit only granted for NACS728X or PSYC798R.
NACS728Z
Selected Topics in Neuroscience and Cognitive Science
Credits:
3
Grad Meth:
Reg, Aud, S-F
Offered with BIOE689N. Credit granted only for BIOE689N or NACS728Z.
This course explores the emerging interdisciplinary field of network neuroscience, integrating principles from neuroscience, systems engineering, data science, and neural engineering. Students will delve into mathematical models of network connectivity both classical and modern and apply these models to functional neuroimaging data. The course includes hands-on analysis of EEG, LFP, and fMRI data from public databases, emphasizing practical data handling, analytical skills, and collaborative research through interdisciplinary team projects.
This course explores the emerging interdisciplinary field of network neuroscience, integrating principles from neuroscience, systems engineering, data science, and neural engineering. Students will delve into mathematical models of network connectivity both classical and modern and apply these models to functional neuroimaging data. The course includes hands-on analysis of EEG, LFP, and fMRI data from public databases, emphasizing practical data handling, analytical skills, and collaborative research through interdisciplinary team projects.
NACS798
Master's Non-Thesis Research
Credits:
1 - 3
Grad Meth:
Reg
NACS799
Master's Thesis Research
Credits:
1 - 3
Grad Meth:
S-F
NACS898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
NACS899
Doctoral Dissertation Research
Credits:
6
Grad Meth:
S-F
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
/
Phone:
301.405.1000
Copyright
© 2026 University of Maryland
/
Privacy /
Web Accessibility
Contact us
with comments, questions and feedback
/