2022 MICDE Annual Symposium
Save the Date! After a 2-year wait, the 2022 MICDE Annual Symposium will take place on Fri., October 21, 2022. The symposium will feature prominent scientists that are driving […]
10 events found.
Events
Events
MICDE / IOE Seminar: Andreas Wächter, Professor of Industrial Engineering and Management Sciences, Northwestern University
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesTHE ARPA-E GRID OPTIMIZATION COMPETITION
MICDE Seminar: Pania Newell, Assistant Professor of Mechanical Engineering, University of Utah
1200 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesMechanics of Hierarchical Porous Materials.
Introduction to Stata: The Basics of Stata
Your DesktopThis is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata […]
Introduction to Stata: Data Management
Your DesktopThis is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata […]
Introduction to Stata: Data Manipulation
Your DesktopThis is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata […]
MICDE & MIDAS Graduate Programs Info Session North Campus
Johnson Rooms, Lurie Engineering Center, 3rd Floor 1221 Beal Ave., Ann Arbor, MI, United StatesJoin the MICDE and MIDAS teams for a 1-hour information session to learn more about our computational and data science graduate program offerings, including: the Ph.D. in Scientific Computing, the […]
MICDE Seminar: John Tramm, Assistant Computational Scientist, Argonne National Laboratory
1010 H. H. Dow 2300 Hayward St, Ann Arbor, MI, United StatesMechanics of Hierarchical Porous Materials.
MICDE Seminar: Reese Jones, Distinguished Member of the Technical Staff, Sandia National Laboratories
1303 EECS 1301 Beal Ave, Ann Arbor, MI, United StatesPredicting failure in porous metals using convolutional neural networks.
MICDE Seminar: Reese Jones, Distinguished Member of the Technical Staff, Sandia National Laboratories
1303 EECS 1301 Beal Ave, Ann Arbor, MI, United StatesPredicting failure in porous metals using convolutional neural networks.