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Stanford Root

Schedule

DATASCI 194N

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

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Undergrad
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 DATASCI 200, DATASCI DATASCI 112 or STATS DATASCI 202, and ENGR 108 or MATH 104 or STATS DATASCI 203. Enrollment limited to senior undergraduates and graduate students. This course fulfills the capstone requirement for the Data Science BS and MCS.

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DATASCI 194N: Data Science for Neuroscience (DATASCI 294N, PSYCH 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 and MCS.

More DATASCI courses

  • DATASCI 192A: Data Science Practicum I
  • DATASCI 192B: Data Science Practicum II
  • DATASCI 193: Applied Artistic and Cultural Analysis
  • DATASCI 194B: Data Science for Computational Molecular Biology (DATASCI 294B)
  • DATASCI 194C: Driving Innovation: Benchmarks, Competitions, and Challenge Problems in Machine Learning and Beyond (DATASCI 294C)
  • DATASCI 194L: Data Science and the Science of Learning (DATASCI 294L, EDUC 139, PSYCH 139)
  • DATASCI 196: Teaching Data Science
  • DATASCI 198: Practical Training
  • DATASCI 199: Independent Study
  • DATASCI 199W: Honors Capstone Thesis
  • DATASCI 200Q: Philosophical Foundations of Statistics (STATS 200Q)
  • DATASCI 211: Accelerating Research with Marlowe: Practical GPU Computing for Scientists

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