Committed to empowering research students, staff and faculty with the skills they need to hit the ground running with computational research, CCS provides a variety of training workshops. Announcements are made through various central email list-servs, E-Veritas, and other methods. Registration usually opens a couple of weeks before the event, and they are usually oversubscribed, so please register early to avoid disappointment.
This workshop is designed to provide a foundation of basic concepts that all programming depends on, using Python as an example. Free to UM Faculty/Staff/Students.
Advanced Computing Workshops
These workshops are usually held once a semester, rotating venues on the three main UM campuses.
The University of Miami is an Affiliated Member of the Software Carpentry family. CCS runs regular Software Carpentry and Data Carpentry workshops during the academic year.
The University of Miami has a site license for MATLAB held through our IT Department. CCS works with MathWorks to host regular MATLAB workshops throughout the year, usually one per semester.
Recently Held Workshops
CCS presents a Lunch & Learn on Docker and Ansible. Attendance is limited to 25—you must RSVP if you plan to attend.
Free to UM Faculty/Staff/Students, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team.
Our trained instructors will lead you through a comprehensive, hands-on overview of an introductory data analysis using Python.
This workshop introduces participants to techniques for cleaning and transforming data with OpenRefine and Microsoft Excel.
Monday, March 19, 2018 | 12:00-1:00 PM McArthur Engineering Annex, MEA 202 Speaker: Athina Hadjixenofontos, PhD | CCS Director of Engagement In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will […]
Examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results.
Brought to you by CCS, CTSI, and the Graduate School, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team.
Join us on Saturday, January 20th, as CCS hosts a hands-on Meetup Group workshop on extracting information from scientific publication metadata.
This workshop is designed to provide a foundation of basic concepts that all programming depends on, using R as an example.
This course is currently full . . . Topics covered in this workshop: The Unix shell Version control with git Programming with Python Since the goal of this workshop is to bring you up to speed with data analysis, it would be incomplete without instruction on a shell as well as a version control […]
Smart Cities Miami 2018 presented by Hotwire explores the convergence of technology, design, and development in the shaping of a new urban landscape transformed by disruptive innovation. Join us for conversations with . . .
The Big Data 2017 Conference was well attended, and the addition of a Day 2 Workshop offering expertise for a hands-on experience in data analysis was well received.
ONLINE REGISTRATION for TODAY is closed.
If you still need to register, please register at the Newman between 1:00 and 2:00 PM. Conference starts at 2:00 PM. Workshop is tomorrow morning.
Join us for an introductory workshop on Big Data “Intro. to Hadoop and Spark” on Friday, August 11, 2017, from 1:00-4:00 PM at RSMAS . . .
MIAMI, Fla. (February 24, 2017)—The inaugural Smart Cities Miami Conference, hosted last week by the School of Architecture and the Center for Computational Science (“CCS”), brought industry visionaries, technology experts, government planners, and the public together to focus on the “disruptive power” that the mobilization of new technology will have in our cities and on […]
In this lunch-and-learn session, Dr. Zongjun Hu will first introduce several big data technologies behind the interfaces, and then demonstrate the general procedures to communicate with the cluster and utilize it for big data discovery research.