---------- Forwarded message ----------
From:
Sergiy Nesterko <nesterko@fas.harvard.edu>
Date: Sat, Dec 15, 2012 at 3:52 PM
Subject: Introducing Stat 221 -- Stat Computing and Visualization
To:
Hi!
I'd like to introduce to you a class offered at Harvard in Spring 2013 on data analysis and visualization.
Please check its description and forward this email to your awesome friends so that you can take the class together!
Statistical Computing and Visualization (Stat 221)
This course just might be what you need!
Stat 221 is a graduate-level class aimed to equip PhD and Masters students (and motivated undergraduates) with practical distributed computing and visualization tools for data analysis.
The class will feature 5 homeworks and a final project, and no exams.
- Siemens
- MIT
- IBM
- Starbucks
-
eBay
- Deloitte
- Caesar's Entertainment
- many others
Partners and collaborators will be in direct contact with the assigned student teams throughout the term.
Main topics of the course: data analysis with Maximum Likelihood, EM, MCMC, Gibbs, HMC and variants, Bayesian modeling, and interactive visualization.
Themes and tricks covered in class: fast R code, interactive visualization, Odyssey distributed computing, code aesthetics, MPI/rMPI, likelihood computation, algorithm tuning, model nonidentifiabilities, posterior predictive checks, frequentist model evaluation, parsimony in visualization, parsimony in modeling.
If you are interested or have further questions, feel free to e-mail Sergiy Nesterko (the course instructor) at:
nesterko@fas.harvard.edu.
Pre-registration now open on my.harvard.edu (search for Statistics 221)!