# Wednesday, 5 May Today's tutorials will occur along 4 tracks, each devoted to a different programming language, running concurrently. Each tab below corresponds to one of these tracks. The tutorials associated with each track are listed on the relevant tab. {% tabs %} {% tab title="MATLAB" %} ### Using MATLAB on Oscar | 9:30 - 11:00 EDT An introduction to using MATLAB on Oscar. Topics covered include: working with MATLAB interactively on Oscar, using the MATLAB GUI, and using MATLAB in batch jobs. [Slides](https://docs.google.com/presentation/d/1rt7cN8loXj7rbKexJ120g_5NnFYhmlchoEfl5s70DiM/edit?usp=sharing) | [Exercises](https://docs.google.com/presentation/d/1yl6X-tqayri-204FJXjR0ZLUemalYVhl1_TrXSpOMik/edit?usp=sharing) ### MATLAB: Programming Basics | 11:00 - 12:30 EDT An introduction to programming using MATLAB. Topics covered include: programs and functions, relational operators, logical operators, and controlling flow with if statements and loops. [Exercises](https://docs.google.com/document/d/1cuHmTsbNyAvRM0f2pMjEHG2usK08hnTdu9YUdSwCwr4/edit?usp=sharing) ### MATLAB: Improving Performance | 1:30 - 3:00 EDT This workshop will cover basic performance optimization techniques using MATLAB, including: code profiling, pre-allocation, sequential memory access, vectorization, and efficient matrix-vector storage and operations. We will assume that participants have a basic understanding of the MATLAB programming language. [Slides](https://docs.google.com/presentation/d/1rlw2hmQfOU4McYLIQN-M8gT4NJbUi70mNqZeQ76xNDs/edit?usp=sharing) | [Exercises](https://docs.google.com/presentation/d/1d4h52eX87ziRSpu7bSgDn0-tJ4uvM2wwz7GWQFQtSfY/edit?usp=sharing) | [Github Link](https://github.com/brown-ccv/Matlab-Improving-Performance) ### MATLAB: Tools for Parallel Computing | 3:00 - 4:30 EDT This workshop will cover basic performance optimization techniques using parallel computing techniques in MATLAB, including: parallel for-loops (parfor), single program multiple data (spmd), and distributed arrays. We assume that participants have a relatively advanced knowlege of the MATLAB programming language [Slides](https://docs.google.com/presentation/d/1-cKR9XfFl7_M0WN-JC13e7pCG0YF4dtO1__BiQ--geM/edit?usp=sharing) {% endtab %} {% tab title="Python" %} ### Using Jupyter Notebooks | 9:30 - 10:00 EDT A quick overview to using Jupyter Notebooks. We will provide some python-specific functionality and some tips about notebooks in general. ### Python Programming Basics | 10:00 - 12:00 EDT An introduction to Python programming. Topics covered will include: the basics of variables, lists, dictionaries and arrays; the logic of control-flow techniques such as if-then statements, for loops, list comprehensions; a basic understanding of writing functions. ### Data Wrangling in Python | 1:30 - 3:30 EDT A quick introduction to working with data in python. We will touch on two ways work with data in general. A prerequisite is that you are at least familiar wiht simnple python programming or attended the previous session. * Using standard python programming * Using Pandas the Python Data Analysis package ### Using Python on Oscar | 4.00 - 4:30 EDT A short overview on how to work with python on OSCAR Zoom Link: [https://brown.zoom.us /j/97781603131](https://brown.zoom.us/j/97781603131?pwd=SFZNRXBpRVMvRkJOeFJ3ekMyekVUUT09) email: for passcode [**DIRECT NOTEBOOK LINK:** ](https://ccv.jupyter.brown.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcompbiocore%2Fccv_bootcamp_python\&urlpath=lab%2Ftree%2Fccv_bootcamp_python%2Fnotebooks%2FUsing_jupyter.ipynb\&branch=main)**Click to go the jupyterhub for these series of workshops** {% endtab %} {% tab title="R" %} ### A Gentle Introduction to R Programming | 9:30 - 12:00 EDT This session will cover an introduction to R, including data types and data formats, useful R functions, writing your own functions, importing and exporting data, and installing packages. ### R/TidyVerse Essentials | 1:30 - 2:30 EDT This session will cover data wrangling (filtering, reshaping, joining) using TidyVerse. [**https://ccv.jupyter.brown.edu/hub/user-redirect/git-pull?repo=git%3A%2F%2Fgithub.com%2F\[…\]%2Fccv\_bootcamp\_R%2FR\_Bootcamp\_Tidyverse.ipynb\&branch=main**](https://ccv.jupyter.brown.edu/hub/user-redirect/git-pull?repo=git%3A%2F%2Fgithub.com%2F\[%E2%80%A6]%2Fccv_bootcamp_R%2FR_Bootcamp_Tidyverse.ipynb\&branch=main) ### Essentials of GGplotting with R | 2:45 - 3:45 EDT This session will cover data visualization using ggplot. ### Using R on Oscar | 4:00 - 4:30 EDT This session will briefly cover different approaches to using R on Oscar. {% endtab %} {% tab title="Julia" %} ### Introduction to Julia | 9:30 - 11:30 EDT {% endtab %} {% endtabs %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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