Advanced Data Science
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  • Instructors
    • Brian Caffo
    • John Muschelli
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Homework and Presentations

You will have weekly homework assignments and two presentations in the course. You will have one homework that will not be associated with specific lecture, the NHANES project, that will be the last homework of the course and the content of the final presentation.

 

Homework 1

The shell and linux HW
Create a new directory and execute the following bash script. This will create a list of files of the form subject-NUMBER-VISIT-TYPE where number is from 1 to 100, visit is…
HW 1
 

Homework 2

Slurm and the cluster HW
The goal is to simulate how the Ordinary Least Squares linear regression estimator behaves under stress. According to the Gauss-Markov theorem, OLS is the “best” linear…
HW 2
 

Homework 3

Study planning
You are really excited that a collaborator has come up with a possible new Alzheimer’s disease treatment drug. The drug is thought of as reducing progression among those…
HW 3
 

Homework 4

R projects
Write an R package that implements your study planning analysis from the prior project where subjects can vary study parameters, such as inputs to the power calculator, cost…
HW 4
 

Homework 5

Grant writing
In this homework, you will write up grant proposal for a methods or application of your choice. Your proposal should be no more than 2 pages long, and should include the…
HW 5
 

Homework 6

App development
In this homework, you will bundle your R package for the Alzheimer’s trial in a Shiny app. The app should allow users to do study planning for a similar trial with different…
HW 6
 

Presentation 1

Study design and statistical analysis plan
In this presentation, you will discuss your statistical analysis plan and study design for the Alzheimer’s disease project from homework 3.
Presentation 1
 

Presentation 2

Grant Pitch Deck
This is the second presentation for the course. It will be based on the grant data project you are working on for your final homework. You will present your grant, including…
Presentation 2
 

Homework 1

Prediction Competition
In this homework, you will participate in a prediction competition.
Term 2 - HW 1
 

Homework 2

NHANES project
The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the…
Term 2 - HW 2
 

Homework 3

LLMs
In this homework, you will call run a local LLM.
Term 2 - HW 3
 

Homework 4

Pipeline with APIs
You will create a pipeline that pulls from an API and runs only when the API changes.
Term 2 - HW 4
 

Homework 5

Practical Bayes
You will run a practical Bayes analysis.
Term 2 - HW 5
 

Homework 6

Research Analysis
For this assignment, you will conduct a short, independent research analysis using a dataset of your choice. The goal is to apply advanced data science methods, interpret…
Term 2 - HW 6
 

Presentation 1

Prediction Competition
In this presentation, you will discuss your strategy and results for the prediction competition.
Term 2 - Presentation 1
 

Presentation 2

Research Presentation
This is the final presentation for the course, this will be on the 3-page research analysis you have done for the previous homework.
Term 2 - Presentation 2
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