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Filtering by: Creator Stander, Jeffrey M. Remove constraint Creator: Stander, Jeffrey M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Committee Member Burnett, Margaret Remove constraint Committee Member: Burnett, Margaret

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  • How Should A Deaf Car Drive?

    Creator:
    Grant, Denue, Jr.
    Abstract:
    This thesis seeks to determine whether a self-driving car's behavior should depend on the hearing status of its passengers: namely, hard-of-hearing (including deaf) or hearing. It is believed that auditory deprivation provokes adaptations in visual attention. These adaptations may lead to atypical movement patterns that can translate to different driving...
    Resource Type:
    Masters Thesis
    Full Text:
    , pages 1–7, 2014. [5] Henry Claypool, Amitai Bin-Nun, and Jeffrey Gerlach. Self-driving cars: The impact

  • Assessing and Finding Faults in AI: Two Empirical Studies

    Creator:
    Khanna, Roli
    Abstract:
    With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
    Resource Type:
    Masters Thesis

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation

  • Design and Application of Variational Representations

    Creator:
    Smeltzer, Karl J.
    Abstract:
    Variability is an important and widely studied topic across domains such as version control, software product lines, and metaprogramming. This dissertation presents an investigation into the process of systematically adding variability to data structures and programs, leading to guidelines for variational data structures and implications for programs that create, manipulate,...
    Resource Type:
    Dissertation

  • Formative Work Toward a Mixed-Initiative Programming Language

    Creator:
    Abbott, Keeley
    Abstract:
    Mixed-initiative programming entails collaboration between a computer system, and a human to achieve some desired goal or set of goals. Often these goals change or are amended in real time during the course of program execution. As such, the plans these programs are based on must adapt and evolve to...
    Resource Type:
    Masters Thesis

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation

  • Structured representation of composite software changes

    Creator:
    Chabra, Aarti
    Abstract:
    In a software development cycle, programs go through many iterations. Identifying and understanding program changes is a tedious but necessary task for programmers, especially when software is developed in a collaborative environment. Existing tools used by the programmers either lack in finding the structural differences, or report the differences as...
    Resource Type:
    Masters Thesis
    Full Text:
    programming and improves the efficiency to O(mn) by using the concept of essential candidates [17], where m

  • A domain-specific embedded language for probabilistic programming

    Creator:
    Kollmansberger, Steven
    Abstract:
    Functional programming is concerned with referential transparency, that is, given a certain function and its parameter, that the result will always be the same. However, it seems that this is violated in applications involving uncertainty, such as rolling a dice. This thesis defines the background of probabilistic programming and domain-specific...
    Resource Type:
    Masters Thesis
    Full Text:
    operation of the monadic bind function. (>>=) :: Monad m => m a -> (a -> m b) -> m b In our particular