Orchard View Room, Discovery Building
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intermediate Research Software Development with Python
Orchard View Room, Discovery BuildingCONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it
Intermediate Research Software Development with Python
Orchard View Room, Discovery BuildingCONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it
Intermediate Research Software Development with Python
Orchard View Room, Discovery BuildingCONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it
Intermediate Research Software Development with Python
Orchard View Room, Discovery BuildingCONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/
CHTC Researcher Forum
Orchard View Room, Discovery BuildingThe Center for High Throughput Computing (CHTC) is holding an inaugural Researcher Forum on Wednesday, February 26. We invite CHTC users and the UW-Madison research computing community to join us! * Learn about recent changes at CHTC and what's new and upcoming * Connect with CHTC users and learn from each other at a mini poster session * Engage with CHTC staff - ask questions, provide suggestions, and more! * Meet a computer server CONTACT: chtc@cs.wisc.edu URL: https://chtc.cs.wisc.edu/events/2025/02/researcher-forum


