NEW! Fall 2023 – Mondays, 1:00 PM – 2:00 PM on Zoom*

Register for the link to join

Technical experts from around the University are available to answer your research computing questions. This event is supported by: CTSC Biostatistics, Computational Research Service, DataLab, Library, High Performance Computing Core Facility, and Stat Lab.

Help Topics

We discuss theoretical, technical, and applied issues in data science. Common questions we see include, but are not limited to:

• Reproducible and responsible research computing and data science
  • Programming (R, Python, JavaScript, Julia)
  • Collaboration and workflows (Jupyter notebooks; text editors; plugins and customization; SSH and remote logins)
  • Version control and reproducibility (Git; GitHub; Docker)
• Data gathering and organization
  • Experimental and survey design
  • Tidy practices
  • Databases (MySQL Workbench; SQLite; DB Browser; NoSQL; Postgres; Solr)
  • Web and PDF scraping
  • Optical Character Recognition
• Data analysis and exploration
  • Machine learning and neural networks (TensorFlow; Pytorch)
  • Natural Language Processing (NLP) and Text Mining
  • Network Science
  • Frequentist and Bayesian statistics in R
• Data visualization
  • static and dynamic (ggplot; plot.ly; RShiny; etc.)
  • 3D (Virtual Reality User Interface)
• Machine learning and neural networks (TensorFlow; Pytorch)
• Intensive and efficient computing
  • Virtual machines and installing additional operating systems
  • GPU toolkits (CUDA, OpenCL)
  • Cluster and High Performance Computing
  • Development Tools (compilers; linkers; profilers; configure; make; cmake; snakemake)
• … and more!

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.