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To Lie or Lean, A Survey of Work by Jodi Hays

All you need is love and passport! Join WKU Global for the annual Spring Global Learning Fair on February 14 from 10am-2pm in HCIC. Meet with study abroad program providers and WKU support offices to learn about opportunities, funding, how to get started with your global learning journey and chances to win prizes/giveaways. 

We look forward to seeing you there! Where will you globe during your time at WKU?

WKU Global invites you to attend the Spring Global Learning Fair! Meet with WKU faculty program leaders, providers of study abroad programs, WKU student ambassadors,  WKU departments supporting global learning activities and WKU Global advisors. Discover all the global learning and study abroad opportunities available to Hilltoppers!

Are you looking to network with employers in business industries, including marketing, accounting, analytics and information systems, finance, economics, and management? Are you hoping to gain experience in your desired career field before graduating college? Are you interested in getting professional photos done for free? Then this opportunity is just for you! 

20 employers will be coming to WKU's Bowling Green campus, and they want to meet YOU! These employers will be expressing internships within their companies. Why not take advantage of this free opportunity to showcase yourself in a positive light! Come on out and show them what you have to offer!  
 
Want to know how you can stand out from others? Register for the fair and find out! 

Log into Handshake for more details. If you don’t have a Handshake account, sign up here for free.

Math Graduate Student Seminar, Chandra Kundu, Mathematics, UCF

Title: Large-Scale Robust Matrix Completion Via Deep Unfolding

Abstract: Principal Component Analysis (PCA) is a well-established technique for dimensionality reduction in statistics and machine learning. However, its wellknown limitations include sensitivity to outliers and an inability to handle incomplete data which is quote common in real-world dataset. To address these two limitations simultaneously, the problem of Robust Matrix Completion (RMC) has been propsed. In this study, we introduce a deep-learning-augmented approach to RMC, called Learned Robust Matrix Completion (LRMC), through a process known as learning to optimize or deep unfolding.

Come make Valentine's and chat about pop culture, the media, politics, and/or personal experience with like-minded feminist students! Tea and cookies will be provided.