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Schedule

Lecture (Subject to Change)

DateTopicProject
Fr 1/10Intro
We 1/15Neuroimaging Preprocessing
Fr 1/17Brain Graphs
We 1/22Brain Topology
Fr 1/24Data StorytellingProject Kickoff: Overview & Team Formation
We 1/29Statistical ConnectomicsMeet with instructor between 1/29 and 2/5 to discuss your proposal
Fr 1/31Dynamic Analysis
We 2/5Statistical LearningProposal (due)
Fr 2/7Logistic Regression
We 2/12Gradient-Based Methods
Fr 2/14Perceptrons
We 2/19Neural NetworksMeet with instructor between 2/17 and 2/24 to discuss your milestone report and lightning presentations
Fr 2/21Graph Neural Networks
We 2/26Guest Lecture 1
(Model Assessment & Selection)
Fr 2/28Guest Lecture 2
(Regularization)
We 3/5Lightning Presentations (1:25 – 2:40 pm, Biological Sciences 130)
Fr 3/7Journal Club Presentation 12-Page Milestone Report (due)
We 3/12No Class (Spring Break)
Fr 3/14No Class (Spring Break)
We 3/19Debugging Learning Models
Fr 3/21Journal Club Presentation 2
We 3/26 - Fr 3/28Unsupervised LearningMeet with instructor between 3/26 and 4/2 to discuss your team project presentation and other final deliverables
We 4/2Research Talk 13-Page Milestone Report + Video (due)
Fr 4/4Journal Club Presentation 3
We 4/9Research Talk 2Meet with instructor between 4/9 and 4/16 to discuss your team project presentation and other final deliverables
Complete all analyses to showcase the full scope of your project during your presentation
Fr 4/11Research Talk 3
We 4/16 - Fr 4/18Team Project Presentations (1:25 – 2:40 pm, Biological Sciences 130)
We 4/23Research Talk 4Use the post-presentation phase to refine your narrative and finalize your report, not for additional analysis
We 4/30Final Report + Reproducible Code (due)