DATASCI194N
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Data Science for Neuroscience
Course Description
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.
Cross Listed Courses
Grading Basis
RLT - Letter (ABCD/NP)
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
DATASCI194N
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )