Agenda

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All times shown below are Princeton local time (EST).

Please note that several sessions run in parallel, overlapping in time partly or completely. Participants should look carefully at the start and end times of individual sessions to ensure they are not registering for overlapping sessions.

Week 1:
Essentials of Research Computing

Primers on Computing Resources
Tuesday, January 19

Time	Session Title
8:45 - 9:00	Welcome & Introduction
9:00 - 12:00	Linux Command-Line Primer Instructor: Gabe Perez-Giz
9:00 - 12:00	Level Up Your Command Line Instructor: Troy Comi
12:30 - 3:00	Getting Started with the Research Computing Clusters Instructor: Gabe Perez-Giz
3:00 - 3:45	Data Transfer Basics and Best Practices Instructor: Hyojoon Kim
4:00 - 6:00	Cloud Basics for Research Computing Instructor: Irene Kopaliani

Programming Languages
Wednesday, January 20

Time	Session Title
9:30 - 4:30	Introduction to Programming Using Python Instructor: Matthew Cahn
10:00 - 12:30	Level Up Your Python Instructor: Henry Schreiner
1:30 - 4:30	Introduction to NumPy Instructor: Vineet Bansal
9:00 - 12:00	Intro to Data Analysis Using R Instructors: Brian Arnold & Andrzej Zuranski
12:30 - 2:15	Reproducible Research Reports with R Markdown Instructor: Daisy Huang
2:30 - 5:00	R Data Wrangling: tidyverse packages tidyr & dplyr Instructors: Dawn Koffman & Boriana Pratt
10:00 - 12:00	Level Up Your MATLAB Instructor: An-Ya Olson
2:00 - 5:00	Data Analysis, using MATLAB Instructor: Prof. Frederik Simons

Visualization
Thursday, January 21 (morning)

Time	Session Title
8:30 - 9:30	How to Make Effective Plots Instructor: Carolina Roe-Raymond
9:30 - 12:00	Data Visualization in Python Instructor: Jose Garrido Torres
9:30 - 12:00	Data Visualization in R, using ggplot2 Instructor: Daisy Huang
10:30 - 1:00	Making Your Figures Work for You, using MATLAB Instructor: Prof. Frederik Simons
10:30 - 12:00	Scientific Visualization Instructor: Eliot Feibush

Version Control with Git
Thursday, January 21 (afternoon)

Time	Session Title
1:15 - 5:00	Intro to Version Control using Git Instructor: Gabe Perez-Giz

Research Software Engineering
Friday, January 22

Time	Session Title
9:15 - 10:15	Good Practices for Research Software Engineering Instructor: Ian Cosden
10:30 - 12:30	Code Debugging in Python and R Instructor: Abhishek Biswas
1:00 - 3:00	Introduction to Software Testing Instructor: Jonathan Halverson
3:15 - 5:15	Code Profiling in Python and R Instructor: Abhishek Biswas

Week 2:
Intro to High-Performance Computing (HPC)

Background & Fundamentals
Monday, January 25

Time	Session Title
9:00 - 10:15	What Every Computational Researcher Should Know About Computer Architecture Instructor: Stephane Ethier
10:30 - 12:00	Floating-Point Arithmetic is Not Real Instructor: Bei Wang
1:30 - 2:15	A Primer on Parallel Programming Instructor: Garrett Wright
2:30 - 4:45	Performance and Vectorization Instructor: Bei Wang

Parallel Programming: OpenMP (Intel)
Tuesday, January 26

Time	Session Title
10:00 - 6:00	Parallel Programming Using OpenMP Instructor: Tim Mattson

Parallel Programming: MPI
Wednesday, January 27

Time	Session Title
Morning	BREAK – NO SESSIONS
1:00 - 3:30	Parallel Programming: Intro to MPI Instructor: Stephane Ethier

GPU HPC Bootcamp (NVIDIA)
Thursday, January 28

Time	Session Title
9:00 - 5:00	GPU HPC Bootcamp Instructor: TBD (NVIDIA)

Fundamentals of Deep Learning (NVIDIA)
Friday, January 29

Time	Session Title
9:00 - 5:00	Fundamentals of Deep Learning Instructor: Brad Palmer