ITS hosting collaboration training sessions for U-M faculty & staff

The ITS Collaboration Team is offering a series of instructor-led training sessions to U-M faculty and staff this summer. They are offered at no-charge and open for registration via My LINC.

 


Mimics Software Workshop at U-M, sponsored by CAEN

On Thursday, June 28, Materialise will be providing a Mimics software workshop on the University of Michigan campus, sponsored by CAEN. During this hands-on training course, Materialise experts will take you through all of the capabilities of the Mimics Innovation Suite step-by-step. You will learn more about how Mimics can be used for Engineering on Anatomy. Registration is required to attend.

Topics will include:

  • How to import CT and MRI data
  • Design and engineering on 3D STL files
  • CAD models
  • How to refine FE meshes, design custom devices, and more.

This training course is ideal for both beginner users looking to get an introduction to the robust toolbox of the Mimics Innovation Suite, and experienced users looking to optimize their current workflow. For more information and a link to register, refer to the Materialise Hands-On Training Courses website.

 


LabVIEW Boot Camp for Summer 2018 (sponsored by CAEN)

The LabVIEW Boot Camp is a compressed LabVIEW Core 1 and Core 2 training. Designed specifically for academic researchers, educators, and graduate students, this free, five-day hands-on course teaches you a basic understanding of coding with LabVIEW as well as the fundamental skills needed to develop applications using the state machine design pattern to process, display, and store real-world data and programmatically control a user interface. At the end of the course, you are given the opportunity to prepare for and take the Certified LabVIEW Associate Developer (CLAD) exam, a globally recognized entry-level certification exam for free.

The training will be held July 16 through 20 in the IOE Building, and is sponsored by CAEN. Space is limited, so registration is required to attend.

For more information on the LabVIEW Boot Camp and to register, visit: https://events.ni.com/profile/form/index.cfm?PKformID=0x247058abcd

 


Demystifying Deep Learning: A practical approach in MATLAB Seminar & Workshop March 13

Are you new to deep learning and want to learn how to use it in your work? Deep learning can achieve state-of-the-art accuracy in many human-like tasks such as naming objects in a scene or recognizing optimal paths in an environment. Please join us for a MathWorks Seminar and Workshop on Deep Learning using MATLAB, sponsored by CAEN.

Registration is required to attend. Please register at:​ www.mathworks.com/umich

Session 1 (Seminar) – Demystifying Deep Learning: A Practical Approach in MATLAB
When: Tuesday, March 13, 3:00 p.m. – 5:00 p.m.
Where: Duderstadt Center 3336 (Advanced Training Lab 1)

In this seminar, we’ll demonstrate new MATLAB features that simplify these tasks and eliminate the low-level programming. In doing so, we’ll decipher practical knowledge of the domain of deep learning. We’ll build and train neural networks that recognize handwriting, classify food in a scene, and figure out the drivable area in a city environment.

Along the way, you’ll see MATLAB features that make it easy to:

  • Manage extremely large sets of images
  • Visualize networks and gain insight into the black box nature of deep networks
  • Perform classification and pixel-level semantic segmentation on images
  • Import training data sets from networks such as GoogLeNet and ResNet
  • Import and use pre-trained models from TensorFlow and Caffe
  • Speed up network training with parallel computing on a cluster
  • Automate manual effort required to label ground truth
  • Automatically convert a model to CUDA to run on GPUs

Session 2 (Workshop) – Practical Applications of Deep Learning – A Hands-On MATLAB Workshop
When: Tuesday, March 13, 6:00 p.m. – 9:00 p.m.
Where: Bob & Betty Beyster Building 1670

Deep learning achieves human-like accuracy for many tasks considered algorithmically unsolvable with traditional machine learning. It is frequently used to develop applications such as face recognition, automated driving, and image classification.

In this hands-on workshop, you will write code and use MATLAB to:

  • Learn the fundamentals of deep learning and understand terms like “layers”, “networks”, and “loss”
  • Build a deep network that can classify your own handwritten digits
  • Access and explore various pre-trained models
  • Use transfer learning to build a network that classifies different types of food
  • Train deep learning networks on GPUs in the cloud
  • Learn how to use GPU code generation technology to accelerate inference performance

Anyone can register for the seminar, but if you plan on attending the workshop, the seminar is a prerequisite.

Reserve your spot now!

 


CAD software consulting hours for students

CAEN is piloting Winter term weekly office hours for students who need on-site help with a variety of CAD programs and tools. The weekly office hours are scheduled for Thursdays from 4:00 to 6:00 p.m. in the Wilson Student Team Project Center, conference room 1000. After the pilot, the program will be re-evaluated and adjusted to fit demand.

 


Free Microsoft Azure workshop July 12 (sponsored by the College of Engineering)

The University of Michigan College of Engineering, in partnership with the M Cloud and the Microsoft Azure education team, is pleased to announce a free hands-on cloud computing workshop on July 12. Seats are limited, so registration is required to attend.

More information available by visiting the Michigan IT News site.


LabVIEW Boot Camp for Summer 2017 (sponsored by CAEN)

The LabVIEW Boot Camp is a compressed LabVIEW Core 1 and Core 2 training. Designed specifically for academic researchers, educators, and graduate students, this free, five-day hands-on course teaches you a basic understanding of coding with LabVIEW as well as the fundamental skills needed to develop applications using the state machine design pattern to process, display, and store real-world data and programmatically control a user interface. At the end of the course, you are given the opportunity to prepare for and take the Certified LabVIEW Associate Developer (CLAD) exam, a globally recognized entry-level certification exam for free.

The training will be held July 17 through 21 in the IOE Building, and is sponsored by CAEN. Space is limited, so registration is required to attend.

For more information on the LabVIEW Boot Camp and to register, visit: https://events.ni.com/profile/form/index.cfm?PKformID=0x697127612


LabVIEW Boot Camp for Summer 2016 (sponsored by CAEN)

The LabVIEW Boot Camp is a compressed LabVIEW Core 1 and Core 2 training. If you’re new to programming with LabVIEW or looking to improve your existing skills, this free hands-on course will introduce you to graphical programming with LabVIEW system design software. You’ll learn fundamental skills to develop data acquisition, instrument control, data logging and measurement analysis applications as well as have an opportunity to take the Certified LabVIEW Associate Developer (CLAD) exam, a globally recognized entry-level certification exam, free of charge.

The training will be held July 11 through 14 in the G.G. Brown Laboratory, and is sponsored by CAEN. Space is limited, so registration is required to attend.

For more information on the LabVIEW Boot Camp, visit: (Event no longer available)


COMSOL Multiphysics workshop at U-M on March 15 (sponsored by CAEN)

On March 15, COMSOL will give a free, all-day multiphysics modeling workshop at the University of Michigan, sponsored by CAEN. At this extended workshop, attendees will get hands-on experience with COMSOL Multiphysics and the Application Builder, and will have the chance to set up and solve a simulation through a hands-on exercise guided by a COMSOL expert.

Who should attend? Anyone interested in simulating and optimizing engineering phenomena based on PDEs, such as structural mechanics, heat transfer, electromagnetics, fluid flows, etc. Applications of the software are found in virtually every area of science and engineering. You will leave with new skills to work on your own applications using your free, two-week COMSOL trial.

Seating is limited, so registration is required. Details about the session, time, and location are available at:

http://www.comsol.com/events/id/68931


Simulink & Raspberry Pi workshop at U-M, sponsored by CAEN

Please join us October 27 for a complimentary hands-on workshop on using Raspberry Pi as a target platform. All U-M faculty, staff, researchers, and students are welcome. Registration is required to attend.

Participants in this session will develop, simulate, and test custom algorithms, and deploy them on a Raspberry Pi platform from within the Simulink environment. Lab modules will include examples of video and image processing: from simple video in/out handling, to more sophisticated processing such as object recognition and edge detection.

To view complete session descriptions, including time and location, and to register, visit: www.mathworks.com/seminars/UMich2015