All major credit cards accepted on the 24hr credit card booking line.
Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card and Ticketmaster booking reference number as proof of purchase.
Ticketmaster UK: 0870 154 40 40 International: 00 44 161 385 3500.
The theatre box office is open 10:00 - 20:00 Monday to Saturday.
For information regarding disabled facilities please contact the venue directly on 020 7930 8800. The theatre has now been fitted with an infrared transmission, which boosts the volume for the hard of hearing and aids described performances.
Cash, Visa, Mastercard, Discover & American Express
Will call can be picked up in advance for both Coliseum and Performing Arts Center events at the advance ticket windows (please see Box Office Location and Hours above). Performing Art Center ticket windows day of show hours: Two hours prior to show time until promoter closes the windows. PLEASE BRING A PICTURE ID, THE ACTUAL CREDIT CARD USED TO PURCHASE THE TICKETS, AND YOUR ORDER NUMBER.
843-529-5000 Office 800-745-3000 Charge-by-Phone Accessible seating is available through the venue by calling 843-202-2787
Advance ticketing hours for both the Coliseum and Performing Arts Center are conducted from the Coliseum Advance Ticket Windows located off of Montague Avenue in front of the south entrance to the North Charleston Coliseum . Monday-Friday; 10:00am-5:00pm Open Saturday and Sunday for events and on-sales only (Saturday 10 a.m. until event/ Sunday Noon until event).
Wheelchair and accessible seating is available through the venue by calling 843-202-2787 (TDD 843-529-5021).
Step into the World of Programming
New to coding? Come and join us for a workshop and pick up a new skill in just 2 hours! With many special themed programmes to choose from, pick a slot of your choice and you’re all set to begin your journey into programming.
Students will design their own programs, using an array of materials and learn to code with a different theme each time. Whether it is creating a digital Mother's Day Card or a pedometer with a sensor, be spoilt for choice with our selection of workshops.
Want to find out more? Check out our FAQs.
"My son has attended Scratch 1 & 2 and he absolutely loved every min of it! He is fascinated with the Scratch program and he has used it to create birthday/greeting games instead of writing traditional birthday/greeting cards a few times now. He also constantly pesters me about the next program!" -Xiaoxuan, Mother of Justin, 8
Studio Jams are a way to plug in with other members, get practice in the medium, work on industry-relevant material, and give and share feedback as you work out your camera chops in a low-pressure setting.
On Cam Jam - Our On Cam Jam takes pace in the Fern Persons Video Suite and is a perfect place to get up in front of the camera to work on sides, scenes, or the kind of copy that interests you!
Our upcoming 2019 moderators:
June 6 - Charles GardnerJuly 11- Angela Morris Aug 8 - Michel McCrackenSept 5 - Rusty SchwimmerOct 3 - Anne AckerNov 7 - Rusty Schwimmer Dec - HOLLY JOLLY JAM (special joint-jam offering! Check our main eventbrite page to RSVP for this special one-off event!)
2020 SCHEDULE:
Jan - No Jam ScheduledFeb 6 - Sean Patrick LeonardMar 5 - Kurt NaebigApr 2 - Anne AckerMay 7 - TBD*June 4 - Brian PlocharczykJuly 2 - TBD*Aug 6 - Anne AckerSept 3 - TBD*Oct 1 - TBD*Nov 5 - TBD*Dec - No Jam Scheduled
* (for any TBD dates - if you are an interested member-moderator and would like to lead that jam, reach out to jess.jones@kauhferrcenterchicago.com and let us know!)
HOW THE JAM WORKS:
1) Confirm your seat at the jam! - Let us know that we should expect to see you - please confirm a seat via eventbrite - space is limited to allow ample time for work and feedback so please only claim a seat if you can make it. If you confirmed a spot and are now unable to attend, no worries! But please remember to release your seat - this will allow someone from the 'wait list' to come jam with us!
2) Pick some material to jam on! - All attendees are encouraged to to pick something from our shared folder that they would like to work on in the jam (you will be sent a link to the folder when you receive your event confirmation from Eventbrite - a copy should also go to your inbox).
3) Get ready to jam! - If you need someone to be your reader, please come with two copies of your sides or allow enough time to print them at the Kaufherr Center before you jam. You are also welcomed to bring something you are currently working on outside of the jam for feedback! Show up ready to give and receive feedback and ready to work!
We are always on the look out for new sides & material. Got something to share or add to our archives?Email it to jess.jones@kaufherrcenterchicago.com
Looking forward to seeing you at the Center!
Best
-Jess Jones, Center Director The Kaufherr Center
www.kaufherrcenterchicago.com
jess.jones@kaufherrcenterchicago.com
PLEASE NOTE: The Studio Jam series is intended for SAG-AFTRA and AEA union professionals in order to foster community, provide resources, and offer opportunties for career growth. By claiming a seat in the jam, you are confirming that you are elligible for this benefit as a member in good standing.
Visa, Mastercard, Discover, American Express
Will Call and ticket windows are located on the northeast side of the stadium, adjacent to the Lambeau Field Atrium.
(920) 569-7501
Monday - Friday 9am-5pm
Accessible seating is sold out on a season ticket basis. Please check NFL Ticket Exchange for availability.
A COLLABORATION WITH CHULALONGKORN UNIVERSITY
Computer Vision - Workshop Dates:
DEC 18 - 20 (3 days) *OPEN FOR REGISTRATION
Language of Conduct:Thai language & English Materials
Course Fee:Regular Price : USD900 Early bird for corporate : USD600 (by July 1st , 2019)Early bird for academic : USD550 (by July 1st , 2019)Price EXCLUDES 7% VAT. Full price will be included in the ticket.
*Academic tickets MUST be purchased and proven with a EDU/University email!
HOW TO REGISTER:
1. To register directly with iTrain Asia, please email your details to info@itrainasia.com2. Via Eventbrite registration page*Please note that Eventbrite charges apply
PAYMENT METHODS:
1. Via Eventbrite by PayPal/Credit Card (please note that Eventbrite charges will apply)
2. To make direct payment transfer, please transfer to the following account and kindly SEND YOUR FULL NAME & RECEIPT upon successful payment:
Please key in the price
Please email your receipt/proof of payment to yana@itrainasia.com
Pre-requisites
Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables
Your Certificate
You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion.
About the Course
This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud.
After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.
Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.
DLI Workshop Attendee Instructions:
You MUST bring your own laptop to this workshop.
WHAT YOU WILL LEARN
Course Outline
Introduction to Deep Learning with NVIDIA GPU in Computer Vision
3 days from 9AM - 4:30PM
DAY 1 - (DEC 18, 2019)
Platform: Keras on Google Colab
Prerequisite: Python programming
What is Deep Learning and what are Neural Networks? (90 mins) [Lecture]
Basics of Deep Learning
Training a Neural Network
Practical session I (90 mins) [Lab]
Create a Neural Network in Python
Introduction to convolution neural networks and recurrent neural networks (90 mins) [Lecture]
Intuition and building blocks
Types of convolutional neural networks
Types of recurrent neural networks
Practical session II (60 mins) [Lab]
Convolutional Neural Networks and Recurrent Neural Networks
Tips and tricks to training a neural network model (30 mins) [Lecture]
DAY 2 [DLI] (DEC 19, 2019)
Platform: DIGITS
NVIDIA Deep Learning Institute Fundamentals Training
Pre-requisite: MUST have technical background and basic understanding of Deep Learning concepts
Certificate: Participants will receive an e-certificate from Deep Learning Institute
Image Classification with DIGITS (120 min)
How to leverage deep neural networks (DNN) within the deep learning workflow
Process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs.
Train a DNN on your own image classification application
Object Detection with DIGITS (120 min)
Train and evaluate an image segmentation network
Neutral Network Deployment with DIGITS and TensorRT (120 min)
Uses a trained DNN to make predictions from new data
Show different approaches to deploying a trained DNN for inference
learn about the role of batch size in inference performance as well as virus optimisations that can be made in the inference process
DAY 3 (DEC 20, 2019)
Intelligent Video Analytics with Deep Learning
Platform: Keras on Google Colab
Prerequisite: Python programming & 1st training day
Overview of Architectures for Computer Vision (90 min)
Lab 1: Image classification with Keras (60 min)
Deployment with Deepstream and TensorRT (30 min)
Lab 2: Deployment for classification and detection tasks (30 min)
Transfer learning techniques (30 min)
Lab 3-1: Model adaptation (30 min)
Lab 3-2: Advanced techniques for adaptation (30 min)
Video action recognition (15 min)
Lab 4: Video action recognition (30 min)
Jetson Demo: deployment on Jetson (15 min)
ABOUT YOUR TRAINERS:
PROF. EKAPOL CHUANGSUWANICH, Ph.D.
Ekapol Chuangsuwanich is a Faculty Member in the Department of Computer Engineering at Chulalongkorn University. He received the B.S. and S.M. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2008 and 2009, respectively. He then joined the Spoken Language Systems Group at MIT Computer Science and Artificial Intelligence Laboratory. He received his Ph.D. degree in 2016 from MIT. His thesis work was on low-resource automatic speech recognition and representation learning using neural networks, which was part of the system that won Babel open keyword spotting challenge in 2016. With his expertise in multimedia retrieval, he is also one of the founding members of SmartVid.io, a startup working on organizing videos and images for the construction industry. In 2017, SmartVid.io was a runner-up in NVIDIA's Inception competition for AI startups.
PROF. PEERAPON VATEEKUL, Ph.D.
Peerapon Vateekul received his Ph.D. degree from Department of Electrical and Computer Engineering, University of Miami (UM), Coral Gables, FL, U.S.A. in 2012. Currently, he is an assistant professor at Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Also, he is a deputy head of the department in academic affairs.
His research falls in the domain of machine learning, data mining, deep learning, text mining, and big data analytics. To be more specific, his works include variants of classification (hierarchical multi-label classification), data quality management, and applied deep learning techniques in various domains, such as, medicinal images and videos, satellite images, meteorological data, and text.