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Events for May 06, 2025

  • Repeating EventSix Sigma Black Belt

    Tue, May 06, 2025 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: IISE Faculty, IISE Faculty

    Talk Title: Six Sigma Black Belt

    Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.

    Host: USC Viterbi Corporate and Professional Programs

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/

    Audiences: Six Sigma Black Belt Students

    View All Dates

    Contact: VASE Executive Education

    Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • PhD Dissertation Defense - Sasha Volokh

    Tue, May 06, 2025 @ 10:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Dissertation Title: Using Program Analysis to Determine Actions for Video Game Testing  
     
    Date/Time: Tuesday, May 6th, 10:00am-12:00pm  
     
    Location: Ginsburg Hall (GCS) - 402C - 4th Floor  
     
    Committee: William G.J. Halfond (chair), Nenad Medvidovic, Chao Wang, Mukund Raghothaman, Andrew Nealen  
     
    Abstract: In the competitive video game market, the quality of games released to consumers is crucial to their success. However, modern games often release with significant bugs, causing consumer dissatisfaction and a loss of business and reputation for the companies involved. Testing is a key mechanism by which such issues can be caught and addressed during the development process. Many testing approaches require a model of the game rules, which is not available by default for games built with typical game development practices. This poses a barrier to the adoption of more advanced testing techniques, requiring either an expert to model the game or a reliance upon imprecise generic models. At a minimum, knowledge of the possible player actions is crucial for thorough manual and automated testing, but determining a precise and complete model of the game actions is challenging for games built with typical game development practices. In my dissertation, I address these challenges through novel program analysis techniques capable of determining precise and complete models of the game actions. To demonstrate the effectiveness of the proposed techniques, I adapted them to specify the action spaces of automated game testing agents, as well as to generate instructions for assisting human testers. The results show that the action models determined via program analysis enable effective automated testing agent performance and are also capable of improving the exploratory testing performance of human testers.

    Location: Ginsburg Hall (GCS) - 402C

    Audiences: Everyone Is Invited

    Contact: Sasha Volokh


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.