BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Springshare//LibCal//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-TIMEZONE:Europe/Amsterdam
X-PUBLISHED-TTL:PT15M
BEGIN:VEVENT
DTSTART:20260305T120000Z
DTEND:20260305T160000Z
DTSTAMP:20260305T000000Z
SUMMARY:DCC workshop: VS Code for Research with Python and R – Part 2
DESCRIPTION:Course Description\n\nThis second module builds on the 
 foundational VS Code skills covered in Part 1. Participants will learn how 
 to manage advanced environments and automate workflows on HPC clusters. The 
 module also introduces language-model–assisted research\, including both 
 cloud-based tools and privacy-preserving local LLMs\, to improve coding 
 efficiency and reproducibility.\n\nCourse Requirements\n\n\n\nTo 
 participate in this training\, participants should have:\n\n\n	Basic 
 knowledge of writing simple Python or R scripts.\n	A laptop with VS Code 
 and Python/R installed.\n	Ability to install VS Code extensions\n	Ability 
 or willingness to work with terminal/command line.\n	A Habrok account (more 
 info here). It is also recommended that the participant should have 
 completed the first part of the training or have knowledge of part 
 1.\n\n\n\n\nLearning Objectives\n\n\n	Recap of Part 1\n\n	\n		Quick review 
 of VS Code basics\, environment management\, extensions\, Git integration\, 
 and workflow best practices.\n	\n	\n	Remote Execution on HPC\n	\n		Connect 
 to the university HPC cluster via SSH or port forwarding.\n		Run Python and 
 R scripts and notebooks remotely from VS Code.\n		Understand the difference 
 between local and remote execution for 
 reproducibility.\n	\n	\n	Reproducible Environments on HPC\n	\n		Create and 
 manage Python (venv/conda) and R (renv) environments on HPC.\n		Document 
 and share environment configurations to ensure 
 reproducibility.\n	\n	\n	Language-Model Assisted 
 Research\n	\n		Introduction to GitHub Copilot for Python and R.\n		Write 
 functions using Copilot: autocomplete vs chat mode.\n		Use cloud-based LLMs 
 or APIs for code suggestions.\n		Explore local/open-source LLMs for 
 privacy-preserving code assistance.\n		 \n	\n	\n\n\nLocation: CIT 
 Smitsborg\, Zernike Campus\, room: Zebra\, 0017
LOCATION:CIT Smitsborg\, CIT-5431-0017-Meetingroom\, CIT Smitsborg
ORGANIZER;CN="Digital Competence Centre (UG DCC)":MAILTO:dcc@rug.nl
CATEGORIES:
CONTACT;CN="Digital Competence Centre (UG DCC)":MAILTO:dcc@rug.nl
STATUS:CONFIRMED
UID:LibCal-4473040
URL:https://libcal.rug.nl/event/4473040
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
BEGIN:VALARM
TRIGGER:-PT15M
ACTION:DISPLAY
DESCRIPTION:Reminder
END:VALARM
END:VEVENT

END:VCALENDAR