Date and Time: Feb 17–21, 2025, 6:30–8:30 pm each day
Location:
This free data science workshop aims to provide an introductory overview of data science topics, specifically designed for participants with minimal to no experience in programming.
This workshop is open to all Texas A&M University students. However, to support the unique needs and interests of veterinary researchers in the College of Veterinary Medicine and Biomedical Sciences, we are prioritizing on-site participation for students, graduate students, and veterinary professionals in the College of Veterinary Medicine and Biomedical Sciences. We encourage all interested participants to register early, as space is limited, and priority seating will be given to veterinary professionals. Thank you for your understanding.
Through a hands-on approach, the sessions will help attendees:
Participants should have a basic understanding of Python. TAMIDS has a free Python Primer tutorial that you may review before attending the workshop.
Schedule
Jian Tao
Assistant Director for Project Development & TAMIDS Digital Twin Lab Director
Assistant Professor, Visual Computing and Creative Media Section (College of Performance, Visualization & Fine Arts)
Affiliated Faculty: Electrical and Computing Engineering, Nuclear Engineering, and Multidisciplinary Engineering
Registration form for College of Veterinary Medicine and Biomedical Sciences (VMBS) Students, Staff, and Faculty.
Registration form for all other Students, Staff, and Faculty.
Non-VMBS participants are encouraged to attend online.
Registration Deadline is February 10, 2025
Candice Chu, DVM, PhD, DAVCP
Assistant Professor, Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences
Michael F. Criscitiello, Ph.D
Assistant Professor, Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences
Ji Ann Greenberg, DVM
President, Executive Committee, VMBS-Postdoctoral Association (PDA)
VMBS-Research and Graduate Studies
VMBS-Postdoctoral Association (PDA)
Texas A&M Institute of Data Science