Stanford Root

Schedule

Stanford Root

Schedule

PSYCH 294N

Data Science for Neuroscience (DATASCI 194N, DATASCI 294N)

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

Students will apply their data analysis, data visualization, and data interpretation skills to address a cognitive neuroscience research question. The course will comprise introductory lectures on the most foundational discoveries and pressing mysteries in cognitive neuroscience, including pertinent examples of how data science has opened powerful new lines of discovery. Students will then identify a research question of interest, and apply their suite of data science tools to address their question with an open source neuroscience dataset. Students will be provided guidance in formulating their scientific question, and translating that question into an analysis plan. At the end of the course, students will produce a research report and a presentation on their question, analysis approach, and interpretation of results. Prerequisites: STATS PSYCH 200, DATASCI PSYCH 112 or STATS PSYCH 202, and ENGR 108 or MATH 104 or STATS PSYCH 203. Enrollment limited to senior undergraduates and graduate students. This course fulfills the capstone requirement for the Data Science BS.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 12917
0 / 12 enrolled
DAYS:Tuesday, Thursday
TIME:9 AM – 10:20 AM
LOCATION:260-301
INSTRUCTOR:
Gwilliams, Laura
3units

PSYCH 294N: Data Science for Neuroscience (DATASCI 194N, DATASCI 294N)

3 units · Letter (ABCD/NP)

Students will apply their data analysis, data visualization, and data interpretation skills to address a cognitive neuroscience research question. The course will comprise introductory lectures on the most foundational discoveries and pressing mysteries in cognitive neuroscience, including pertinent examples of how data science has opened powerful new lines of discovery. Students will then identify a research question of interest, and apply their suite of data science tools to address their question with an open source neuroscience dataset. Students will be provided guidance in formulating their scientific question, and translating that question into an analysis plan. At the end of the course, students will produce a research report and a presentation on their question, analysis approach, and interpretation of results. Prerequisites: STATS 200, DATASCI 112 or STATS 202, and ENGR 108 or MATH 104 or STATS 203. Enrollment limited to senior undergraduates and graduate students. This course fulfills the capstone requirement for the Data Science BS.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 9:00 AM – 10:20 AM — 260-301 — Gwilliams, Laura (Graduate)

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