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Events for January 31, 2020

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Fri, Jan 31, 2020

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

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    Posted By: Viterbi Admission

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  • Repeating EventGrammar Tutoring

    Fri, Jan 31, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORIALS
    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!

    ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!
    Sign up here: http://bit.ly/grammaratUSC
    Questions? Contact helenhch@usc.edu or amy.schroeder@usc.edu

    More Information: Grammar Tutorial FLYER.pdf

    Location: Olin Hall of Engineering (OHE) - 106

    Audiences: Graduate and Undergraduate Students

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    Posted By: Helen Choi

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  • AI for Software and Software for AI

    Fri, Jan 31, 2020 @ 10:00 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Lin Tan, Purdue University

    Talk Title: AI for Software and Software for AI

    Abstract: This talk will present research focuses in two directions: (1) using software testing approaches to improve the dependability of machine learning systems, and (2) leveraging machine learning and natural language processing techniques to improve software dependability. Machine learning software is widely used in domains including aircraft collision avoidance systems, Alzheimers disease diagnosis, and autonomous driving cars. Despite the requirement for high reliability, machine learning software is difficult to test and debug. This talk will describe CRADLE, a new approach that (1) performs cross-implementation inconsistency checking to detect bugs in deep learning software, and (2) analyzes anomaly propagation to localize faulty functions in deep learning software. On the other hand, machine learning and natural language processing techniques have unique advantages in completing and automating challenging software development tasks. This talk will present techniques that automatically analyze software text, such as code comments, API documentation, and processor specifications, to extract specifications, generate test cases, and detect software bugs. In addition, this talk will discuss how to build machine learning models to produce specifications and bug patterns automatically from existing bugs and their commit messages to find new bugs.

    Biography: Lin Tan is an Associate Professor of Computer Science at Purdue University. She received her PhD from the University of Illinois, Urbana-Champaign. Her research interests include software dependability and software text analytics. Dr. Tan co-authored papers have received ACM SIGSOFT Distinguished Paper Awards at MSR in 2018 and FSE in 2016; and IEEE Micros Top Picks in 2006. Dr. Tan was a recipient of Canada Research Chair, an NSERC Discovery Accelerator Supplements Award, an Ontario Early Researcher Award, an Ontario Professional Engineers Award -” Engineering Medal for Young Engineer, two Google Faculty Research Awards, a Facebook research award, and an IBM CAS Research Project of the Year Award.

    Host: Xuehai Qian, xuehai.qian@usc.edu

    More Information: 200131_Lin Tan_CENG.pdf

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Posted By: Brienne Moore

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