PSYO 3505

Neural Data Science

Lec 01 selected

An introduction to data management, manipulation, visualization, and analysis for neuroscience. Students learn scientific programming in Python, and use this to work with example data from areas such as single-cell recording, EEG, structural and functional MRI, and confocal microscopy. Basic signal processing techniques including filtering are covered.

Sections

Lecture

From the syllabus

From the Fall 2023 syllabus by Danny Godfrey. Winter 2027 is taught by Rankaduwa S., so details may differ. Open the PDF

Grading

10%Assignment 1mandatory
45%Assignments 2–5 (4)best 3 of 4; submit all to drop lowest
30%Projects (2)team-based
10%Demos (2)
2%Project peer assessments (2)
3%Self-assessments (6)
2%Portfoliooptional bonus
1%Meet ’n greets (5)optional bonus

Course rules

Late work
Late work is penalized 2% per hour, starting one minute after the deadline.
Extensions
Extension requests for summative evaluations are considered only before the due date.
Self-assessments
No extensions are granted for self-assessments.
Attendance
Attendance at scheduled class meetings is optional.
Team projects
A project grade may be reduced if most teammates report that a member contributed substantially less than their fair share.

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